Publications

You can see below the list of publications from the researchers involved in the core research of FCAI, issued during 1.1.2018–15.10.2019. The list is compiled based on the university and VTT databases and may be supplemented later on.

1. 3and Me Res Team, eQTLGen Consortium, Int Cannabis Consortium, Soc Sci Genetic Association Con, Richard Karlsson Linner, Pietro Biroli, Edward Kong, Fleur W. Meddens, Robbee Wedow, Mark Alan Fontana, Mael Lebreton, Stephen P. Tino, Abdel Abdellaoui, Anke R. Hammerschlag, Michel G. Nivard, Aysu Okbay, Cornelius A. Rietveld, Pascal N. Timshel, Maciej Trzaskowski, Ronald de Vlaming, Christian L. Zund, Yanchun Bao, Laura Buzdugan, Ann H. Caplin, Chia-Yen Chen, Peter Eibich, Pierre Fontanillas, Juan R. Gonzalez, Peter K. Joshi, Ville Karhunen, Aaron Kleinman, Remy Z. Levin, Christina M. Lill, Gerardus A. Meddens, Gerard Muntane, Sandra Sanchez-Roige, Frank J. van Rooij, Erdogan Taskesen, Markus Perola, Samuli Ripatti, Richa Gupta, Jari Lahti, Natalia Pervjakova, Niina Eklund, Seppo Koskinen, Antti Latvala, Anu Loukola, Tomi Mäki-Opas, Aarno Palotie, Antti-Pekka Sarin, Katri Räikkönen, Johan G. Eriksson, Jaakko Kaprio, Markus Perola, David R. Weir, Veikko Salomaa, Kadri Kaasik, and Liisa Keltikangas-Järvinen. Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences. Nature Genetics, 51(2):245-+, 2 2019.

2. Khalil Abudahab, Joaquin M. Prada, Zhirong Yang, Stephen D. Bentley, Nicholas J. Croucher, Jukka Corander, and David M. Aanensen. PANINI: Pangenome Neighbour Identification for Bacterial Populations. Microbial Genomics, 5(4), 4 2019.

3. Homayun Afrabandpey, Tomi Peltola, and Samuel Kaski. Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019, pages 1959-1966. International Joint Conferences on Artificial Intelligence, 7 2019.

4. Rabeia Almahmoudi, Merimaija Kasanen, Meri Sieviläinen, Abdelhakim Salem, Matti Pirinen, Tuula Salo, and Ahmed Al-Samadi. The Prognostic Value of Blood and Lymphatic Vessel Markers in Tongue Cancer: A Systematic Review. Cancer Science, 9 2019.

5. Alhadi Almangush, Omar Youssef, Matti Pirinen, Jari Sundström, Ilmo Leivo, and Antti A. Mäkitie. Does Evaluation of Tumour Budding in Diagnostic Biopsies have a Clinical Relevance?: A Systematic Review. Histopathology, 74(4):536-544, 3 2019.

6. Khalid Alnajjar, Leo Leppänen, and Hannu Toivonen. No Time Like the Present: Methods for Generating Colourful and Factual Multilingual News Headlines. In Kazjon Grace, Michael Cook, Dan Ventura, and Mary Lou Maher, editors, Proceedings of the 10th International Conference on Computational Creativity, pages 258-265, Portugal, 6 2019. Association for Computational Creativity.

7. Anorexia Nervosa Genetics Initiati, Psychiat Genomics Consortium, Hunna J. Watson, Zeynep Yilmaz, Laura M. Thorntont, Christopher Hubel, Jonathan R. Coleman, Helena A. Gaspar, Julien Bryois, Anke Hinney, Virpi M. Leppa, Manuel Mattheisen, Sarah E. Medland, Stephan Ripke, Shuyang Yao, Paola Giusti-Rodriguez, Ken B. Hanscombe, Kirstin L. Purves, Roger A. H. Adan, Lars Alfredsson, Tetsuya Ando, Ole A. Andreassen, Jessica H. Baker, Wade H. Berrettini, Ilka Boehm, Claudette Boni, Vesna Boraska Perica, Katharina Buehren, Roland Burghardt, Matteo Cassina, Sven Cichon, Maurizio Clementi, Roger D. Cone, Philippe Courtet, Scott Crow, James J. Crowley, Unna N. Danner, Oliver S. P. Davis, Martina de Zwaan, George Dedoussis, Daniela Degortes, Janiece E. DeSocio, Danielle M. Dick, Dimitris Dikeos, Christian Dina, Monika Dmitrzak-Weglarz, Jaakko Kaprio, Anna Keski-Rahkonen, Aarno Palotie, Anu Raevuori, Samuli Ripatti, and Elisabeth Widen. Genome-wide association study identifies eight risk loci and implicates metabo-psychiatric origins for anorexia nervosa. Nature Genetics, 51(8):1207-+, 8 2019.

8. Ilkka Arminen, Otto Erik Alexander Segersven, and Mika Simonen. Active and latent social groups and their interactional expertise. Acta Sociologica, 62(4):391-405, 2019.

9. Ektor Arzoglou, Tommi Elo, and Pekka Nikander. The case of iOS and android: Applying system dynamics to digital business platforms. In Jack J. Dongarra, Joo M.F. Rodrigues, Pedro J.S. Cardoso, Jnio Monteiro, Roberto Lam, Valeria V. Krzhizhanovskaya, Michael H. Lees, and Peter M.A. Sloot, editors, Computational Science - ICCS 2019 - 19th International Conference, 2019, Proceedings, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 499-506. Springer Verlag, 1 2019.

10. AstraZeneca-Sanger Drug Combination DREAM Consortium, Michael P. Menden, Dennis Wang, Mike J. Mason, Bence Szalai, Krishna C. Bulusu, Yuanfang Guan, Thomas Yu, Jaewoo Kang, Minji Jeon, Russ Wolfinger, Tin Nguyen, Mikhail Zaslavskiy, Jordi Abante, Barbara Schmitz Abecassis, Nanne Aben, Delasa Aghamirzaie, Tero Aittokallio, Farida S. Akhtari, Bissan Al-lazikani, Tanvir Alam, Amin Allam, Chad Allen, Mariana Pelicano de Almeida, Doaa Altarawy, Vinicius Alves, Alicia Amadoz, Benedict Anchang, Albert A. Antolin, Jeremy R. Ash, Victoria Romeo Aznar, Wail Ba-alawi, Moeen Bagheri, Vladimir Bajic, Gordon Ball, Pedro J. Ballester, Delora Baptista, Christopher Bare, Mathilde Bateson, Andreas Bender, Denis Bertrand, Bhagya Wijayawardena, Keith A. Boroevich, Evert Bosdriesz, Mehmet Gonen, Samuel Kaski, Suleiman Ali Khan, Hiroshi Mamitsuka, Pekka Marttinen, Xin Wang, and Alexey Zakharov. Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen. Nature Communications, 10(1):1-17, 6 2019.

11. Rohit Babbar and Bernhard Schölkopf. Data scarcity, robustness and extreme multi-label classification. Machine Learning, 108(8-9):1329-1351, 9 2019.

12. Rosa Maria Ballardini and Taina Elisa Pihlajarinne. Intellectual Property Rights, Technology and the Environment: Academic Prospectives on Fostering Sustainable Innovation. NIR : nordiskt immateriellt rättsskydd, (1/2019):152-155, 2019.

13. Nikola Banovic, Per Ola Kristensson, and Antti Oulasvirta. Computational modeling in human-computer interaction. 5 2019. ACM SIGCHI Annual Conference on Human Factors in Computing Systems, ACM CHI.

14. Otto Jeremias Berg and Matti Juhani Järvisalo. Unifying Reasoning and Core-Guided Search for Maximum Satisfiability. In Proceedings of the 16th European Conference on Logics in Artificial Intelligence (JELIA 2019), Lecture Notes in Computer Science, International, 2019. Springer.

15. Kunal Bhattacharya, Tuomas Takko, Daniel Monsivais, and Kimmo Kaski. Group formation on a small-world: experiment and modelling. Journal of the Royal Society Interface, 16(156), 7 2019.

16. Johannes Bjerva, Robert Östling, Maria Han Veiga, Jörg Tiedemann, and Isabelle Augenstein. What do Language Representations Really Represent? Computational Linguistics, 2019.

17. Kenneth Blomqvist, Samuel Kaski, and Markus Heinonen. Deep convolutional Gaussian processes. In ECML/PKDD, 2019.

18. E. Boz, B. Finley, A. Oulasvirta, K. Kilkki, and J. Manner. Mobile QoE prediction in the field. Pervasive and Mobile Computing, 59, 10 2019.

19. Celine Brouard, Antoine Basse, Florence d'Alche Buc, and Juho Rousu. Improved Small Molecule Identification through Learning Combinations of Kernel Regression Models. Metabolites, 9(8), 8 2019.

20. Kathleen Brown, Henri Pesonen, and Tiina Itkonen. Diagnoses or Solutions: Different Pathways for Supporting Students with Diverse Learning Needs. In Nick Burnett, editor, Solution Focused Special Education, pages 101-116, United Kingdom, 5 2019. Jessica Kingsley Publishers.

21. Chaabouni, Kaïs; Bagnato, Alessandra; Walderhaug, Ståle; Berre, Arne J.; Södergård, Caj; Sadovykh, Andrey. Enterprise architecture modelling with ArchiMate. In: CEUR Workshop Proceedings, Vol. 2405, 2019, p. 79-84.

22. Prosper Chemouil, Pan Hui, Wolfgang Kellerer, Yong Li, Rolf Stadler, Dacheng Tao, Yonggang Wen, and Ying Zhang. Special Issue on Artificial Intelligence and Machine Learning for Networking and Communications. IEEE Journal on Selected Areas in Communications, 37(6):1185-1191, 6 2019. Guest Editorial.

23. Wenzheng Chen, Jun Gao, Huan Ling, Edward Smith, Jaakko Lehtinen, Alec Jacobson, and Sanja Fidler. Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer. Conference on Neural Information Processing Systems, NeurIPS 2019.

24. . Chiner-Oms, L. Sánchez-Busó, J. Corander, S. Gagneux, S. R. Harris, D. Young, F. González-Candelas, and I. Comas. Genomic determinants of speciation and spread of the Mycobacterium tuberculosis complex. Science Advances, 5(6), 6 2019.

25. Héctor Climente-González, Chloé Agathe Azencott, Samuel Kaski, and Makoto Yamada. Block HSIC Lasso: Model-free biomarker detection for ultra-high dimensional data. Bioinformatics, 35(14):i427-i435, 7 2019.

26. Abigail Colclough, Jukka Corander, Samuel K. Sheppard, Sion C. Bayliss, and Michiel Vos. Patterns of cross-resistance and collateral sensitivity between clinical antibiotics and natural antimicrobials. Evolutionary Applications, 12(5):878-887, 6 2019.

27. Xiaolei Di, Yu Xiao, Chao Zhu, Yang Deng, Qinpei Zhao, and Weixiong Rao. Traffic congestion prediction by spatiotemporal propagation patterns. In Proceedings - 2019 20th International Conference on Mobile Data Management, MDM 2019, Mobile Data Management Conference, pages 298-303. IEEE, 6 2019.

28. Diabimmune Study Grp, Laura Korhonen, Sami Oikarinen, Jussi Lehtonen, Neea Mustonen, Iiris Tyni, Onni Niemelä, Hanna Honkanen, Heini Huhtala, Jorma Ilonen, Anu-Maaria Hämäläinen, Aleksandr Peet, Vallo Tillmann, Heli Siljander, Mikael Knip, Maria Lönnrot, Heikki Hyöty, Taina Härkönen, Samppa Ryhänen, Katriina Koski, Matti Koski, Anne Ormisson, Valentina Ulich, Elena Kuzmicheva, Sergei Mokurov, Svetlana Markova, Svetlana Pylova, Marina Isakova, Elena Shakurova, Vladimir Petrov, Natalya V. Dorshakova, Tatyana Karapetyan, Tatyana Varlamova, Minna Kiviniemi, Kristi Alnek, Helis Janson, Raivo Uibo, Tiit Salum, Erika von Mutius, Juliane Weber, Helena Ahlfors, Henna Kallionpää, Essi Laajala, Riitta Lahesmaa, Harri Lähdesmäki, Robert Moulder, Janne Nieminen, Terhi Ruohtula, Outi Vaarala, Kirsi Alahuhta, Suvi M. Virtanen, and Anita Kondrashova. Rhinoviruses in infancy and risk of immunoglobulin E sensitization. Journal of Medical Virology, 91(8):1470-1478, 8 2019.

29. Marc Dvorak, Dorothea Golze, and Patrick Rinke. Quantum embedding theory in the screened Coulomb interaction: Combining configuration interaction with GW/BSE. Physical Review Materials, 3(7):1-6, 7 2019.

30. Marc Dvorak and Patrick Rinke. Dynamical configuration interaction: Quantum embedding that combines wave functions and Green's functions. Physical Review B (Condensed Matter and Materials Physics), 99(11):1-24, 3 2019.

31. Wolfgang Dvorak, Matti Juhani Järvisalo, Thomas Linsbichler, Andreas Johannes Alexand Niskanen, and Stefan Woltran. Preprocessing Argumentation Frameworks via Replacement Patterns. In Proceedings of the 16th European Conference on Logics in Artificial Intelligence (JELIA 2019), Lecture Notes in Computer Science, International, 2019. Springer.

32. Kai Dührkop, Markus Fleischauer, Marcus Ludwig, Alexander A. Aksenov, Alexey V. Melnik, Marvin Meusel, Pieter C. Dorrestein, Juho Rousu, and Sebastian Böcker. SIRIUS 4: a rapid tool for turning tandem mass spectra into metabolite structure information. Nature Methods, 16(4):299-302, 4 2019.

33. Dennis Ehlers, Markku Suomalainen, Jens Lundell, and Ville Kyrki. Imitating human search strategies for assembly. In Proceedings of the International Conference on Robotics and Automation, ICRA 2019, IEEE International Conference on Robotics and Automation, pages 7821-7827, United States, 5 2019. Institute of Electrical and Electronics Engineers.

34. Pekka Enberg, Ashwin Rao, and Sasu Tarkoma. I/O Is Faster Than the CPU - Let's Partition Resources and Eliminate (Most) OS Abstractions. In HotOS '19: Proceedings of the Workshop on Hot Topics in Operating Systems, pages 81-87, United States, 2019. ACM.

35. eQTLGen Consortium, BIOS Consortium, Eleonora Porcu, Sina Rüeger, Kaido Lepik, Mawusse Agbessi, Habibul Ahsan, Isabel Alves, Anand Andiappan, Wibowo Arindrarto, Philip Awadalla, Alexis Battle, Frank Beutner, Marc Jan Bonder, Dorret Boomsma, Mark Christiansen, Annique Claringbould, Patrick Deelen, Tonu Esko, Marie-Julie Fave, Lude Franke, Timothy Frayling, Sina A. Gharib, Gregory Gibson, Bastiaan T. Heijmans, Gibran Hemani, Rick Jansen, Mika Kahonen, Anette Kalnapenkis, Silva Kasela, Johannes Kettunen, Yungil Kim, Holger Kirsten, Peter Kovacs, Knut Krohn, Jaanika Kronberg-Guzman, Viktorija Kukushkina, Bernett Lee, Terho Lehtimaki, Markus Loeffler, Urko M. Marigorta, Hailang Mei, Lili Milani, Grant W. Montgomery, Martina Mueler-Nurasyid, Matthias Nauck, Michel Nivard, Brenda Penninx, Markus Perola, Natalia Pervjakova, Brandon L. Pierce, and Samuli Ripatti. Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits. Nature Communications, 10, 7 2019.

36. eQTLGen Consortium, Paul R. H. J. Timmers, Ninon Mounier, Kristi Lall, Krista Fischer, Zheng Ning, Xiao Feng, Andrew D. Bretherick, David W. Clark, Xia Shen, Tonu Esko, Zoltn Kutalik, James F. Wilson, Peter K. Joshi, M. Agbessi, H. Ahsan, M. I. R. Alves, A. Andiappan, P. Awadalla, A. Battle, M. J. Bonder, D. Boomsma, M. Christiansen, A. Claringbould, P. Deelen, J. van Dongen, T. Esko, M. Fave, L. Franke, T. Frayling, S. A. Gharib, G. Gibson, G. Hemani, R. Jansen, A. Kalnapenkis, S. Kasela, J. Kettunen, Y. Kim, H. Kirsten, P. Kovacs, K. Krohn, J. Kronberg-Guzman, Viktorija Kukushkina, Z. Kutalik, M. Kahonen, T. Lehtimaki, M. Perola, S. Ripatti, L. Tong, J. Yang, and F. Zhang. Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances. eLife, 8, 1 2019.

37. Marco Filetti, Oswald Barral, Giulio Jacucci, and Niklas Ravaja. Motivational intensity and visual word search: Layout matters. PLoS One, 14(7):e0218926, 7 2019.

38. FinnGen Project, Adam E. Locke, Karyn Meltz Steinberg, Charleston W. K. Chiang, Susan K. Service, Aki S. Havulinna, Laurel Stell, Matti Pirinen, Haley J. Abel, Colby C. Chiang, Robert S. Fulton, Anne U. Jackson, Chul Joo Kang, Krishna L. Kanchi, Daniel C. Koboldt, David E. Larson, Joanne Nelson, Thomas J. Nicholas, Arto Pietila, Vasily Ramensky, Debashree Ray, Laura J. Scott, Heather M. Stringham, Jagadish Vangipurapu, Ryan Welch, Pranav Yajnik, Xianyong Yin, Johan G. Eriksson, Mika Ala-Korpela, Marjo-Riitta Järvelin, Minna Männikkö, Hannele Laivuori, Susan K. Dutcher, Nathan O. Stitziel, Richard K. Wilson, Ira M. Hall, Chiara Sabatti, Aarno Palotie, Veikko Salomaa, Markku Laakso, Samuli Ripatti, Michael Boehnke, and Nelson B. Freimer. Exome sequencing of Finnish isolates enhances rare-variant association power. Nature, 572(7769):323–+, 8 2019.

39. Ilenia Fronza, Arto Hellas, Petri Ihantola, and Tommi Mikkonen. An Exploration of Cognitive Shifting in Writing Code. In Proceedings of the ACM Conference on Global Computing Education (CompEd '19), pages 65-71, United States, 2019. ACM.

40. Esther Galbrun, Peggy Cellier, Nikolaj Tatti, Alexandre Termier, and Bruno Crémilleux. Mining periodic patterns with a mdl criterion. In Francesco Bonchi, Michele Berlingerio, Thomas Gärtner, Neil Hurley, and Georgiana Ifrim, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 535-551. Springer Verlag, 1 2019.

41. Rui Gao, Filip Tronarp, and Simo Särkkä. Iterated Extended Kalman Smoother-Based Variable Splitting for L-1-Regularized State Estimation. IEEE Transactions on Signal Processing, 67(19):5078-5092, 10 2019.

42. Zhongke Gao, Shan Li, Qing Cai, Weidong Dang, Yuxuan Yang, Chaoxu Mu, and Pan Hui. Relative Wavelet Entropy Complex Network for Improving EEG-Based Fatigue Driving Classification. IEEE Transactions on Instrumentation and Measurement, 68(7):2491-2497, 7 2019.

43. ngel F. García-Fernández, Roland Hostettler, and Simo Särkkä. Rao-Blackwellized Posterior Linearization Backward SLAM. IEEE Transactions on Vehicular Technology, 68(5):4734-4747, 5 2019.

44. ngel F. García-Fernández, Filip Tronarp, and Simo Särkkä. Gaussian Target Tracking With Direction-of-Arrival von Mises–Fisher Measurements. IEEE Transactions on Signal Processing, 67(11):2960-2972, 6 2019.

45. Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, and Michael Mathioudakis. Mary, Mary, Quite Contrary: Exposing Twitter Users to Contrarian News. In Proceedings of the 26th International Conference on World Wide Web, WWW 2017 Companion, pages 201-205. International World Wide Web Conferences Steering Committee, 1 2019.

46. Natalia Gavrilenko, Hernán Ponce de León, Florian Furbach, Keijo Heljanko, and Roland Meyer. BMC for Weak Memory Models: Relation Analysis for Compact SMT Encodings. In Isil Dillig and Serdar Tasiran, editors, Computer Aided Verification - 31st International Conference, CAV 2019, Proceedings, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 355-365. Springer Verlag, 1 2019.

47. Michaël Gharbi, Tzu-Mao Li, Miika Aittala, Jaakko Lehtinen, and Frédo Durand. Sample-based Monte Carlo Denoising using a Kernel-Splatting Network. ACM Transactions on Graphics, 38(4), 7 2019.

48. Asim Ghosh, Daniel Monsivais, Kunal Bhattacharya, Robin I.M. Dunbar, and Kimmo Kaski. Quantifying gender preferences in human social interactions using a large cellphone dataset. EPJ Data Science, 8(1):1-15, 3 2019.

49. gnes Kiss, Masoud Naderpour, Jian Liu, Thomas Schneider, and N. Asokan. SoK: Modular and Efficient Private Decision Tree Evaluation. Proceedings on Privacy Enhancing Technologies, 2019.

50. Dorothea Golze, Marc Dvorak, and Patrick Rinke. The GW Compendium: A Practical Guide to Theoretical Photoemission Spectroscopy. Frontiers in Chemistry, 7:1-66, 7 2019.

51. Tommi Gröndahl and N. Asokan. Text analysis in adversarial settings: Does deception leave a stylistic trace?. ACM Computing Surveys, 52(3):1-36, 6 2019.

52. Stig-Arne Grönroos, Sami Virpioja, and Mikko Kurimo. North Sámi morphological segmentation with low-resource semi-supervised sequence labeling. In Fifth Workshop on Computational Linguistics for Uralic Languages, pages 15-26. Association for Computational Linguistics, 1 2019.

53. Lachlan Gunn, Jian Liu, Bruno Vavala, and N. Asokan. Making Speculative BFT Resilient with Trusted Monotonic Counters. 2019. Symposium on Reliable Distributed Systems, SRDS.

54. Marcelo Hartmann. Approximate Bayesian inference in multivariate Gaussian process regression and applications to species distribution models. PhD thesis, University of Helsinki, Finland, 3 2019.

55. Marcelo Hartmann and Jarno Vanhatalo. Laplace approximation and natural gradient for Gaussian process regression with heteroscedastic Student-t model. Statistics and Computing, 29(4):753–773, 7 2019.

56. Michael Haus, Aaron Yi Ding, Qing Wang, Juhani Toivonen, Leonardo Tonetto, Sasu Tarkoma, and Jörg Ott. Enhancing Indoor IoT Communication with Visible Light and Ultrasound. In ICC 2019 - 2019 IEEE International Conference on Communications (ICC), 5 2019.

57. Katri Annikki Havu. Digital single market, digital content and consumer protection – critical reflections. In Taina Pihlajarinne, Juha Vesala, and Olli Honkkila, editors, Online Distribution of Content in the EU, pages 172-187, United Kingdom, 1 2019. Edward Elgar.

58. Katri Annikki Havu. Causation and Damage: What the Directive Does Not Solve and Remarks on Relevant EU Law. In Magnus Strand, Vladimir Bastidas, and Marios C Iacovides, editors, EU Competition Litigation, Swedish Studies in European Law, pages 187-200, International, 5 2019. Hart Publishing.

59. Katri Annikki Havu. Damages Liability for Non-material Harm in EU Case Law. European law review, 44:492-514, 8 2019.

60. Katri Annikki Havu. Excessive Duration of Court Proceedings and Damages Liability. Common Market Law Review, 2019.

61. Katri Annikki Havu. Member State Liability: Reflections on Recent Preliminary Rulings. European Public Law, 2019.

62. Katri Annikki Havu and Neza Zupancic. Online Platforms and Selective Distribution: Coty Ruling Addresses Topical E-Commerce Issues. European law review, 44(2):222–237, 4 2019.

63. Murtaza Hazara, Xiaopu Li, and Ville Kyrki. Active Incremental Learning of a Contextual Skill Model. In Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, United States, 2019. Institute of Electrical and Electronics Engineers.

64. Peter Hedström and Petri K Ylikoski. Sociological Individualism. In Shalini Randeria and Björn Wittrock, editors, Social Science at the Crossroads, Annals of the International Institute of Sociology, pages 55-66, Netherlands, 5 2019. Brill.

65. Markus Heinonen, Maria Osmala, Henrik Mannerström, Janne Wallenius, Samuel Kaski, Juho Rousu, and Harri Lähdesmäki. Bayesian metabolic flux analysis reveals intracellular flux couplings. Bioinformatics, 35(14):i548-i557, 7 2019.

66. Lauri Himanen, Amber Geurts, Adam Stuart Foster, and Patrick Rinke. Data-Driven Materials Science: Status, Challenges, and Perspectives. Advanced Science, 9 2019.

67. Lauri Himanen, Marc O.J. Jäger, Eiaki V. Morooka, Filippo Federici Canova, Yashasvi S. Ranawat, David Z. Gao, Patrick Rinke, and Adam S. Foster. DScribe: Library of descriptors for machine learning in materials science. Computer Physics Communications, 2019.

68. Markku Hinkka, Teemu Lehto, Keijo Heljanko, and Alexander Jung. Classifying Process Instances Using Recurrent Neural Networks. In Florian Daniel, Quan Z. Sheng, and Hamid Motahari, editors, Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers, Lecture Notes in Business Information Processing, pages 313-324, Germany, 2019. Springer Verlag.

69. Jenni Hokka and Matti Nelimarkka. Affective economy of national-populist images: Investigating national and transnational online networks through visual big data. New Media and Society, 8 2019.

70. Yuxin Hou, Arno Solin, and Juho Kannala. Unstructured Multi-view Depth Estimation Using Mask-Based Multiplane Representation. In Michael Felsberg, Per-Erik Forssén, Jonas Unger, and Ida-Maria Sintorn, editors, Image Analysis - 21st Scandinavian Conference, SCIA 2019, Proceedings, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 54-66. Springer Verlag, 1 2019.

71. Janne M.J. Huttunen, Leo Kärkkäinen, and Harri Lindholm. Pulse transit time estimation of aortic pulse wave velocity and blood pressure using machine learning and simulated training data. PLoS computational biology, 15(8):e1007259, 8 2019.

72. Jenni Hällfors, Teemu Palviainen, Ida Surakka, Richa Gupta, Jadwiga Buchwald, Anu Raevuori, Samuli Ripatti, Tellervo Korhonen, Pekka Jousilahti, Pamela A. F. Madden, Jaakko Kaprio, and Anu Loukola. Genome-wide association study in Finnish twins highlights the connection between nicotine addiction and neurotrophin signaling pathway. Addiction Biology, 24(3):549-561, 5 2019.

73. Mika Hämäläinen, Tanja Säily, Jack Rueter, Jörg Tiedemann, and Eetu Mäkelä. Revisiting NMT for normalization of early English letters. In Beatrice Alex, Stefania Degaetano-Ortlieb, Anna Kazantseva, Nils Reiter, and Stan Szpakowicz, editors, Proceedings of the 3rd Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, number W19-25 in ACL Anthology, page 71–75, United States, 2019. Association for Computational Linguistics.

74. Petri Ihantola, Essi Isohanni, Pietari Heino, and Tommi Mikkonen. Criterion-Based Grading, Agile Goal Setting, and Course (Un)Completion Strategies. In David Parsons and Kathryn MacCallum, editors, Agile and Lean Concepts for Teaching and Learning, pages 207-230, International, 2019. Springer.

75. Asad Javed, Narges Yousefnezhad, Jeremy Robert, Keijo Heljanko, and Kary Framling. Access Time Improvement Framework for Standardized IoT Gateways. In 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019, pages 220-226, United States, 3 2019. Institute of Electrical and Electronics Engineers.

76. M. Juuti, S. Szyller, S. Marchal, and N. Asokan. PRADA: Protecting Against DNN Model Stealing Attacks. In IEEE European Symposium on Security and Privacy, EuroS&P 2019, Stockholm, Sweden, June 17-19, 2019, pages 512-527. IEEE, 2019.

77. Mika Juuti, Buse Atli, and N. Asokan. Making targeted black-box evasion attacks effective and efficient. 8 2019. ACM Workshop on Artificial Intelligence and Security, AISec.

78. Marko Järvenpää, Michael Gutmann, Aki Vehtari, and Pekka Marttinen. Parallel Gaussian process surrogate method to accelerate likelihood-free inference. Bayesian Analysis, 2019.

79. Marko Järvenpää, Michael U. Gutmann, Arijus Pleska, Aki Vehtari, and Pekka Marttinen. Efficient acquisition rules for model-based approximate Bayesian computation. Bayesian Analysis, 14(2):595-622, 6 2019.

80. Marko Järvenpää, Mohamad R.Abdul Sater, Georgia K. Lagoudas, Paul C. Blainey, Loren G. Miller, James A. McKinnell, Susan S. Huang, Yonatan H. Grad, and Pekka Marttinen. A Bayesian model of acquisition and clearance of bacterial colonization incorporating within-host variation. PLoS computational biology, 15(4):1-25, 4 2019.

81. Priyanka Kachroo, Jesus M. Eraso, Randall J. Olsen, Stephen B. Beres, Luchang Zhu, Waleed Nasser, Paul E. Bernard, Concepcion C. Cantu, Matthew Ojeda Saavedra, María José Arredondo, Benjamin Strope, Hackwon Do, Muthiah Kumaraswami, Jaana Vuopio, Kirsi Gröndahl-Yli-Hannuksela, Karl G. Kristinsson, Magnus Gottfredsson, Maiju Pesonen, Johan Pensar, Emily R. Davenport, Andrew G. Clark, Jukka Corander, Dominique A. Caugant, Shahin Gaini, Marita Debess Magnussen, Samantha L. Kubiak, Hoang A.T. Nguyen, S. Wesley Long, Adeline R. Porter, Frank R. DeLeo, and James M. Musser. Integrated analysis of population genomics, transcriptomics and virulence provides novel insights into Streptococcus pyogenes pathogenesis. Nature Genetics, 51(3):548-559, 3 2019.

82. Sofoklis Kakouros, Antti Suni, Juraj Šimko, and Martti Vainio. Prosodic Representations of Prominence Classification Neural Networks and Autoencoders Using Bottleneck Features. Annual Conference of the International Speech Communication Association (Interspeech), 9 2019.

83. Virpi Kalakoski, Andreas Henelius, Emilia Oikarinen, Antti Ukkonen, and Kai Puolamäki. Cognitive ergonomics for data analysis. Experimental study of cognitive limitations in a data-based judgement task. Behaviour & Information Technology, 38(10):1038-1047, 10 2019.

84. Virpi Kalakoski, Andreas Henelius, Emilia Oikarinen, Antti Ukkonen, and Kai Puolamäki. Cognitive ergonomics for data analysis. In Proceedings of the 31st European Conference on Cognitive Ergonomics, pages 38-40, International, 2019. ACM.

85. Heini Kallio, Antti Suni, Juraj Šimko, and Martti Vainio. Analysing second language proficiency using wavelet-based prominence estimates. Journal of Phonetics, 2019.

86. Henna Kallionpää, Juhi Somani, Soile Tuomela, Ubaid Ullah, Rafael De Albuquerque, Tapio Lönnberg, Elina Komsi, Heli Siljander, Jarno Honkanen, Taina Härkönen, Aleksandr Peet, Vallo Tillmann, Vikash Chandra, Mahesh Kumar Anagandula, Gun Frisk, Timo Otonkoski, Omid Rasool, Riikka Lund, Harri Lähdesmäki, Mikael Knip, and Riitta Lahesmaa. Early detection of peripheral blood cell signature in children developing β-cell autoimmunity at a young age. Diabetes, 68(10):2024-2034, 10 2019.

87. Roosa E. Kallionpää, Henri Pesonen, Annalotta Scheinin, Nils Sandman, Ruut Laitio, Harry Scheinin, Antti Revonsuo, and Katja Valli. Single-subject analysis of N400 event-related potential component with five different methods. International Journal of Psychophysiology, 144:14-24, 10 2019.

88. Bo Kang, Kai Puolamäki, Jefrey Lijffijt, and Tijl de Bie. A Constrained Randomization Approach to Interactive Visual Data Exploration with Subjective Feedback. IEEE Transactions on Knowledge and Data Engineering, 4 2019.

89. Antti Kangasrääsiö, Jussi P.P. Jokinen, Antti Oulasvirta, Andrew Howes, and Samuel Kaski. Parameter Inference for Computational Cognitive Models with Approximate Bayesian Computation. Cognitive Science, 43(6), 6 2019.

90. Maximus D. Kaos, Ryan E. Rhodes, Perttu Hamalainen, and T. C. Nicholas Graham. Social Play in an Exergame: How the Need to Belong Predicts Adherence. In CHI 2019: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pages 1-13. ACM, 2019.

91. David Karasik, M. Carola Zillikens, Yi-Hsiang Hsu, Ali Aghdassi, Kristina Akesson, Najaf Amin, Ines Barroso, David A. Bennett, Lars Bertram, Murielle Bochud, Ingrid B. Borecki, Linda Broer, Aron S. Buchman, Liisa Byberg, Harry Campbell, Natalia Campos-Obando, Jane A. Cauley, Peggy M. Cawthon, John C. Chambers, Zhao Chen, Nam H. Cho, Hyung Jin Choi, Wen-Chi Chou, Steven R. Cummings, Lisette C. P. G. M. de Groot, Phillip L. De Jager, Ilja Demuth, Luda Diatchenko, Michael J. Econs, Gudny Eiriksdottir, Anke W. Enneman, Joel Eriksson, Johan G. Eriksson, Karol Estrada, Daniel S. Evans, Mary F. Feitosa, Mao Fu, Christian Gieger, Harald Grallert, Vilmundur Gudnason, Launer J. Lenore, Caroline Hayward, Albert Hofman, Georg Homuth, Kim M. Huffman, Lise B. Husted, Thomas Illig, Erik Ingelsson, Till Ittermann, John-Olov Jansson, Toby Johnson, Reiner Biffar, Joanne M. Jordan, Antti Jula, Magnus Karlsson, Kay-Tee Khaw, Tuomas O. Kilpelainen, Norman Klopp, Jacqueline S. L. Kloth, Daniel L. Koller, Jaspal S. Kooner, William E. Kraus, Stephen Kritchevsky, Zoltan Kutalik, Teemu Kuulasmaa, Johanna Kuusisto, Markku Laakso, Jari Lahti, Thomas Lang, Bente L. Langdahl, Markus M. Lerch, Joshua R. Lewis, Christina Lill, Lars Lind, Cecilia Lindgren, Yongmei Liu, Gregory Livshits, Osten Ljunggren, Ruth J. F. Loos, Mattias Lorentzon, Jian'an Luan, Robert N. Luben, Ida Malkin, Fiona E. McGuigan, Carolina Medina-Gomez, Thomas Meitinger, Hakan Melhus, Dan Mellstrom, Karl Michaelsson, Braxton D. Mitchell, Andrew P. Morris, Leif Mosekilde, Maria Nethander, Anne B. Newman, Jeffery R. O'Connell, Ben A. Oostra, Eric S. Orwoll, Aarno Palotie, Munro Peacock, Markus Perola, Annette Peters, Richard L. Prince, Bruce M. Psaty, Katri Räikkönen, Stuart H. Ralston, Samuli Ripatti, Fernando Rivadeneira, John A. Robbins, Jerome I. Rotter, Igor Rudan, Veikko Salomaa, Suzanne Satterfield, Sabine Schipf, Chan Soo Shin, Albert V. Smith, Shad B. Smith, Nicole Soranzo, Timothy D. Spector, Alena Stancakova, Kari Stefansson, Elisabeth Steinhagen-Thiessen, Lisette Stolk, Elizabeth A. Streeten, Unnur Styrkarsdottir, Karin M. A. Swart, Patricia Thompson, Cynthia A. Thomson, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Emmi Tikkanen, Gregory J. Tranah, Andre G. Uitterlinden, Cornelia M. van Duijn, Natasja M. van Schoor, Liesbeth Vandenput, Peter Vollenweider, Henry Volzke, Jean Wactawski-Wende, Mark Walker, Nicholas J. Wareham, Dawn Waterworth, Michael N. Weedon, H-Erich Wichmann, Elisabeth Widen, Frances M. K. Williams, James F. Wilson, Nicole C. Wright, Laura M. Yerges-Armstrong, Lei Yu, Weihua Zhang, Jing Hua Zhao, Yanhua Zhou, Carrie M. Nielson, Tamara B. Harris, Serkalem Demissie, Douglas P. Kiel, and Claes Ohlsson. Disentangling the genetics of lean mass. American Journal of Clinical Nutrition, 109(2):276-287, 2 2019.

92. Toni Karvonen and Simo Särkkä. Gaussian kernel quadrature at scaled Gauss–Hermite nodes. BIT - Numerical Mathematics, 2019.

93. Eeva Leena Kataja, Linnea Karlsson, Christine E. Parsons, Juho Pelto, Henri Pesonen, Tuomo Häikiö, Jukka Hyönä, Saara Nolvi, Riikka Korja, and Hasse Karlsson. Maternal pre- and postnatal anxiety symptoms and infant attention disengagement from emotional faces. Journal of Affective Disorders, 243:280-289, 1 2019.

94. Sini Kerminen, Alicia R. Martin, Jukka Koskela, Sanni E. Ruotsalainen, Aki S. Havulinna, Ida Surakka, Aarno Palotie, Markus Perola, Veikko Salomaa, Mark J. Daly, Samuli Ripatti, and Matti Pirinen. Geographic Variation and Bias in the Polygenic Scores of Complex Diseases and Traits in Finland. American Journal of Human Genetics, 104(6):1169-1181, 6 2019.

95. Markus Kettunen, Erik Harkonen, and Jaakko Lehtinen. Deep Convolutional Reconstruction For Gradient-Domain Rendering. ACM Transactions on Graphics, 38(4), 7 2019.

96. Petri Kettunen, Maarit Laanti, Fabian Fagerholm, Tommi Mikkonen, and Tomi Männistö. Finnish Enterprise Agile Transformations: A Survey Study. In XP 2019: Agile Processes in Software Engineering and Extreme Programming – Workshops, 2019.

97. Sujay Khandagale and Rohit Babbar. A Simple and Effective Scheme for Data Pre-processing in Extreme Classification. In ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pages 67-72. i6doc.com publication, 4 2019.

98. Sujay Khandagale, Han Xiao, and Rohit Babbar. Bonsai - Diverse and Shallow Trees for Extreme Multi-label Classification. arXiv.org, 4 2019.

99. Kivimaa, Paula; Kangas, Paula; Lazarevic, David; Lukkarinen, Jani; Åkerman, Maria; Halonen, Minna; Nieminen, Mika. Transition towards zero energy buildings : Insights on emerging business ecosystems, new business models and energy efficiency policy in Finland. Finnish Environment Institute, SYKE, 2019. 53 p. (SYKE Publications; No. 5).

100. Janin Koch, Andrés Lucero, Lena Hegemann, and Antti Oulasvirta. May Ai? Design ideation with cooperative contextual bandits. In CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, Conference on Human Factors in Computing Systems - Proceedings. ACM, 5 2019.

101. Olli-Pekka Koistinen, Vilhjálmur sgeirsson, Aki Vehtari, and Hannes Jonsson. Nudged elastic band calculations accelerated with Gaussian process regression based on inverse inter-atomic distances. Journal of Chemical Theory and Computation, 7 2019.

102. Ida Ilmatar Koivisto. Transparency, Society and Subjectivity: Critical Perspectives. Res Publica, 25(3):439-443, 8 2019. Arvioitu teos: Emmanuel Alloa and Dieter Thomä (eds): Transparency, Society and Subjectivity: Critical Perspectives. Palgrave Macmillan 2018, 408 pp.

103. Koivisto, Raija; Leikas, Jaana; Auvinen, Heidi; Vakkuri, Ville; Saariluoma, Pertti; Hakkarainen, Jenni; Koulu, Riikka. Tekoäly viranomaistoiminnassa : Eettiset kysymykset ja yhteiskunnallinen hyväksyttävyys. Prime Minister's Office Finland, 2019. 62 p. (Valtioneuvoston selvitys- ja tutkimustoiminnan julkaisusarja; No. 14).

104. Mikko Konki, Maia Malonzo, Ida K. Karlsson, Noora Lindgren, Bishwa Ghimire, Johannes Smolander, Noora M. Scheinin, Miina Ollikainen, Asta Laiho, Laura L. Elo, Tapio Lonnberg, Matias Roytta, Nancy L. Pedersen, Jaakko Kaprio, Harri Lahdesmaki, Juha O. Rinne, and Riikka J. Lund. Peripheral blood DNA methylation differences in twin pairs discordant for Alzheimer's disease. Clinical epigenetics, 11(1), 9 2019.

105. Tuukka Korhonen, Jeremias Berg, and Matti Järvisalo. Solving Graph Problems via Potential Maximal Cliques: An Experimental Evaluation of the Bouchitté-Todinca Algorithm. ACM Journal of Experimental Algorithmics, 24(1), 6 2019.

106. Päivi Korpisaari (ex. Tiilikka), Anette Alen-Savikko, Riku Neuvonen, Sam Wrigley, Jenna Lindqvist, Jukka Lng, Anni-Maria Taka, Juha Vesala, Taina Pihlajarinne, Riikka Koulu, and Päivi Korpisaari. Data, viestintä ja sääntely. Viestintäoikeuden vuosikirja 2019, 4 2019.

107. Riikka Koulu and Jenni Maria Hakkarainen. Konfliktinhallinta alustataloudessa. In Jenna Päläs and Kalle Määttä, editors, Jakamistalousjuridiikan käsikirja, volume 2019, Suomi, 10 2019. Alma Talent.

108. Riikka Koulu, Risto Koulu, and Sanna Koulu. Tuomarin roolit tuomioistuimissa. Alma Talent, Suomi, 5 2019.

109. Riikka Koulu and Kalle Aleksi Markkanen. Conflict Management for Regulation-Averse Blockchains? In Rosa Ballardini, Olli Pitkänen, and Petri Kuoppamäki, editors, Regulating Industrial Internet through IPR, Data Protection and Competition Law, volume 2019, International, 9 2019. Kluwer Law International.

110. Riikka Koulu, Beata Mäihäniemi, Vesa Kyyrönen, Jenni Maria Hakkarainen, and Kalle Aleksi Markkanen. Algoritmi päätöksentekijänä?: Tekoälyn hyödyntämisen mahdollisuudet ja haasteet kansallisessa sääntely-ympäristössä. Number 44 in Valtioneuvoston selvitys- ja tutkimustoiminnan julkaisusarja. Valtioneuvoston kanslia, Suomi, 6 2019.

111. Per Ola Kristensson, Antti Oulasvirta, Nikola Banovic, and John Williamson. Computational interaction with Bayesian methods. 5 2019. ACM SIGCHI Annual Conference on Human Factors in Computing Systems, ACM CHI.

112. Mitja I. Kurki, Elmo Christian Saarentaus, Olli Pietiläinen, Padraigh Gormley, Dennis Lal, Sini Kerminen, Minna Torniainen-Holm, Eija Hämäläinen, Elisa Rahikkala, Riikka Keski-Filppula, Merja Rauhala, Satu Korpi-Heikkila, Jonna Komulainen-Ebrahim, Heli Helander, Päivi Vieira, Minna Männikkö, Markku Peltonen, Aki Havulinna, Veikko Salomaa, Matti Pirinen, Jaana Suvisaari, Jukka S. Moilanen, Jarmo Körkkö, Outi Kuismin, Mark Daly, and Aarno Palotie. Contribution of rare and common variants to intellectual disability in a sub-isolate of Northern Finland. Nature Communications, 10(1), 1 2019.

113. Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, and Timo Aila. Improved Precision and Recall Metric for Assessing Generative Models. Conference on Neural Information Processing Systems, NeurIPS 2019.

114. Eija Kärnä and Henri Valtteri Pesonen. Individual education plans for students with autism spectrum disorders in Finland. In Educating Students with Autism Spectrum Disorders in China and Finland, 2019.

115. Samuli Laine, Tero Karras, Jaakko Lehtinen, and Timo Aila. High-Quality Self-Supervised Deep Image Denoising. Conference on Neural Information Processing Systems, NeurIPS 2019.

116. Ji Lee, Lily Diaz-Kommonen, and Yu Xiao. Applying Embodied Design Improvisation for Physical Interaction in Augmented and Virtual Reality. Archives of Design Research, 32(2):5-17, 6 2019.

117. Hanna Lehtimäki, Ilpo Helén, Karoliina Snell, Päivi Eriksson, and Tero Montonen. Sustainable Value Creation in Commercialization of Innovation: The Case Auria Biobank. International Journal of Entrepreneurship and Innovation Management, 23(5), 2019.

118. Tuukka Lehtiniemi and Minna Ruckenstein. The social imaginaries of data activism. Big Data & Society, 6(1):1–12, 1 2019.

119. Minna Lehtonen, Matti Varjokallio, Henna Kivikari, Annika Hultén, Sami Virpioja, Tero Hakala, Mikko Kurimo, Krista Lagus, and Riitta Salmelin. Statistical models of morphology predict eye-tracking measures during visual word recognition. Memory and Cognition, 5 2019.

120. Tuomo Tapio Pietari Lehtonen, Johannes P. Wallner, and Matti Juhani Järvisalo. Reasoning over Assumption-Based Argumentation Frameworks via Direct Answer Set Programming Encodings. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), United States, 2019. AAAI Press.

121. Leikas, Jaana (Corresponding Author); Koivisto, Raija; Gotcheva, Nadezhda. Ethical framework for designing autonomous intelligent systems. In: Journal of Open Innovation: Technology, Market, and Complexity , Vol. 5, No. 1, 18, 2019.

122. Mikko K. Leino, Juha Ala-Laurinaho, Zenith Purisha, Simo Särkkä, and Ville Viikari. Millimeter-wave imaging method based on frequency-diverse subarrays. In GSMM 2019 - 12th Global Symposium on Millimeter Waves, Proceeding, pages 84-86. IEEE, 5 2019.

123. Jing Li, Ignacio Vázquez-García, Karl Persson, Asier González, Jia-Xing Yue, Benjamin Barré, Michael N. Hall, Anthony Long, Jonas Warringer, Ville Mustonen, and Gianni Liti. Shared Molecular Targets Confer Resistance over Short and Long Evolutionary Timescales. Molecular Biology and Evolution, 36(4):691-708, 4 2019.

124. Jun Li, Qingxiao Wang, Guowei He, Michael Widom, Lydia Nemec, Volker Blum, Moon Kim, Patrick Rinke, and Randall M. Feenstra. Formation of graphene atop a Si adlayer on the C-face of SiC. Physical Review Materials, 3(8):1-12, 8 2019.

125. Xuebing Li, Bingyang Liu, Yang Chen, Yu Xiao, Jiaxin Tang, and Xin Wang. Artemis: A practical low-latency naming and routing system. In Proceedings of the 48th International Conference on Parallel Processing, ICPP 2019. ACM, 8 2019.

126. Hans Liljestrand, Thomas Nyman, Jan Erik Ekberg, and N. Asokan. Late breaking results: Authenticated call stack. In Proceedings of the 56th Annual Design Automation Conference 2019, DAC 2019. IEEE, 6 2019.

127. Susanna Lindroos-Hovinheimo. Who controls our data?: The legal reasoning of the European Court of Justice in Wirtschaftsakademie Schleswig-Holstein and Tietosuojavaltuutettu v Jehovan todistajat. Information & Communications Technology Law, 28(2):225-238, 5 2019.

128. Susanna Lindroos-Hovinheimo. Book Review: A People’s Court?, by Jos Hoevenaars (The Hague: Eleven International Publishing, 2018). Common Market Law Review, 56(3):866-868, 2019.

129. Jens Lundell, Francesco Verdoja, and Ville Kyrki. Robust Grasp Planning Over Uncertain Shape Completions. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, United States, 2019. Institute of Electrical and Electronics Engineers.

130. Lucy Ellen Lwakatare, Terhi Kilamo, Teemu Karvonen, Tanja Sauvola, Ville Heikkilä, Juha Itkonen, Pasi Kuvaja, Tommi Mikkonen, Markku Oivo, and Casper Lassenius. DevOps in practice: A multiple case study of five companies. Information and Software Technology, 114:217-230, 10 2019.

131. Timo Lähivaara, Alireza Malehmir, Antti Pasanen, Leo Kärkkäinen, Janne M.J. Huttunen, and Jan S. Hesthaven. Estimation of groundwater storage from seismic data using deep learning. Geophysical Prospecting, 1 2019.

132. Eric Malmi, Marko Rasa, and Aristides Gionis. AncestryAI: A Tool for Exploring Computationally Inferred Family Trees. In Proceedings of the 26th International Conference on World Wide Web Companion, pages 257-261. International World Wide Web Conferences Steering Committee, 1 2019.

133. N. J. Mars, A. M. Kerola, M. J. Kauppi, M. Pirinen, O. Elonheimo, and T. Sokka-Isler. Healthcare costs and outcomes in adult patients with juvenile idiopathic arthritis: a population-based study. Scandinavian Journal of Rheumatology, 48(2):114-120, 3 2019.

134. Juri Mattila, Timo Seppälä, Taneli Hukkinen, Arto Laikari, Kalle Markkanen, Riikka Koulu, and Kai Jia. Lohkoketjuteknologian hyödyntämismahdollisuudet palkkatulojen verotuksessa. Number 30 in Valtioneuvoston selvitys- ja tutkimustoiminnan julkaisusarja. Valtioneuvoston kanslia, 4 2019.

135. Jenni Miettinen, Markku Ollikainen, Mika Nieminen, and Lauri Valsta. Cost function approach to water protection in forestry. Water Resources and Economics, 9 2019.

136. Yohsuke Murase, Hang Hyun Jo, János Török, János Kertész, and Kimmo Kaski. Structural transition in social networks: The role of homophily. Scientific Reports, 9(1):1-8, 3 2019.

137. Yohsuke Murase, Hang Hyun Jo, János Török, János Kertész, and Kimmo Kaski. Sampling networks by nodal attributes. Physical Review E, 99(5):1-10, 5 2019.

138. Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, and Janne Heikkilä. Gyroscope-aided motion deblurring with deep networks. In Proceedings of the 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019, IEEE Winter Conference on Applications of Computer Vision, pages 1914-1922, United States, 3 2019. Institute of Electrical and Electronics Engineers.

139. Simo Mäkinen, Timo Lehtonen, Terhi Kilamo, Mikko Puonti, Tommi Mikkonen, and Tomi Männistö. Revisiting Continuous Deployment Maturity: A Two-Year Perspective. In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, SAC '19, pages 1810-1817, International, 4 2019. ACM.

140. Niko Mäkitalo, Timo Aaltonen, Mikko Raatikainen, Aleksandr Ometov, Sergey Andreev, Yevgeni Koucheryavy, and Tommi Mikkonen. Action-Oriented Programming Model: Collective Executions and Interactions in the Fog. The Journal of Systems and Software, 8 2019.

141. Matti Nelimarkka. A Review of Research on Participation in Democratic Decision-Making Presented at SIGCHI Conferences: Toward an Improved Trading Zone Between Political Science and HCI. In Proceedings of the ACM on Human-Computer Interaction, 2019.

142. Matti Nelimarkka. Aihemallinnus sekä muut ohjaamattomat koneoppimismenetelmät yhteiskuntatieteellisessä tutkimuksessa: kriittisiä havaintoja. Politiikka : Valtiotieteellisen yhdistyksen julkaisu, 61(1):6-33, 2019.

143. Matti Nelimarkka. (Re)Design to Mitigate Political Polarization. In Proceedings of the ACM on Human-Computer Interaction, 2019.

144. Teppo Niinimaki, Mikko A. Heikkila, Antti Honkela, and Samuel Kaski. Representation transfer for differentially private drug sensitivity prediction. Bioinformatics, 35(14):i218-i224, 7 2019.

145. Pekka Nikander, Juuso Autiosalo, and Santeri Paavolainen. Interledger for the Industrial Internet of Things. In IEEE International Conference on Industrial Informatics, IEEE International Conference on Industrial Informatics. IEEE, 2019.

146. Pekka Nikander and Tommi Elo. Will the data markets necessarily fail?, 2019.

147. Mari Nislin and Henri Pesonen. Associations of self-perceived competence, well-being and sense of belonging among pre- and in-service teachers encountering children with diverse needs. European Journal of Special Needs Education, 34(4):424-440, 8 2019.

148. Marius Noreikis, Nina Savela, Markus Kaakinen, Yu Xiao, and Atte Oksanen. Effects of Gamified Augmented Reality in Public Spaces. IEEE Access, pages 1-12, 10 2019.

149. Kari Nousiainen, Jukka Intosalmi, and Harri Lähdesmäki. A Mathematical Model for Enhancer Activation Kinetics During Cell Differentiation. In Miguel A. Vega-Rodríguez, Ian Holmes, and Carlos Martín-Vide, editors, Algorithms for Computational Biology - 6th International Conference, AlCoB 2019, Proceedings, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 191-202. Springer Verlag, 1 2019.

150. Jukka K. Nurminen and Harrison Mfula. A Unified Framework for 5G Network Management Tools. In Proceedings - IEEE 11th International Conference on Service-Oriented Computing and Applications, SOCA 2018, pages 41-48, United States, 1 2019. Institute of Electrical and Electronics Engineers.

151. Fumiko Ogushi, János Kertész, Kimmo Kaski, and Takashi Shimada. Temporal inactivation enhances robustness in an evolving system. Royal Society Open Science, 6(2):1-12, 2 2019.

152. Bruno Ordozgoiti and Aristides Gionis. Reconciliation k-median: Clustering with non-polarized representatives. In The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019, pages 1387-1397. ACM, Inc, 5 2019.

153. Antti Oulasvirta. It's time to rediscover HCI models. Interactions, 26(4):52-56, 2019.

154. Topi Paananen, Juho Piironen, Paul-Christian Burkner, and Aki Vehtari. Pushing the Limits of Importance Sampling through Iterative Moment Matching. Statistics and Computing, 6 2019.

155. Santeri Paavolainen and Pekka Nikander. Interledger Demo: IoT Integration. In IEEE International Conference on Blockchain and Cryptocurrency. IEEE, 2019.

156. Santeri Paavolainen and Pekka Nikander. Decentralized Beacons: Attesting the Ground Truth of Blockchain State for Constrained IoT Devices. In Workshop on Internet of Things Security and Privacy. IEEE, 2019.

157. Ranjan Pal, Pan Hui, and Viktor Prasanna. Privacy Engineering for the Smart Micro-Grid. IEEE Transactions on Knowledge and Data Engineering, 31(5):965-980, 5 2019.

158. Mervi Katriina Pantti, Matti Nelimarkka, Kaarina Nikunen, and Gavan Titley. The meanings of racism: Public discourses about racism in Finnish news media and online discussion forums. European Journal of Communication, 34(5):503-519, 10 2019.

159. Tomi Peltola, Mustafa Çelikok, Pedram Daee, and Samuel Kaski. Machine Teaching of Active Sequential Learners. In 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, 9 2019.

160. Johan Pensar, Santeri Puranen, Brian Arnold, Neil MacAlasdair, Juri Kuronen, Gerry Tonkin-Hill, Maiju Pesonen, Yingying Xu, Aleksi Sipola, Leonor Sánchez-Busó, John A. Lees, Claire Chewapreecha, Stephen D. Bentley, Simon R. Harris, Julian Parkhill, Nicholas J. Croucher, and Jukka Corander. Genome-wide epistasis and co-selection study using mutual information. Nucleic Acids Research, 47(18):1-14, 10 2019.

161. Henri Pesonen, Marc Fabri, and Timo Lorenz. Enhancing sense of belonging for students with autism spectrum disorder during higher education studies and transition to employment. 2019.

162. Henri Valtteri Pesonen, Raija Anneli Pirttimaa, Irene Maria Rämä, and Elina Kontu. The transition to further education after basic education for adolescents with ASD in Finland. In Educating Students with Autism Spectrum Disorders in China and Finland, 2019.

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165. Taina Elisa Pihlajarinne and Rosa Maria Ballardini. Owning Data via Intellectual Property Rights: Reality or Chiemera? In Rosa Ballardini, Olli Pitkänen, and Petri Kuoppamäki, editors, Regulating Industrial Internet through IPR, Data Protection and Competition Law, International, 2019. Kluwer Law International.

166. Taina Elisa Pihlajarinne and Max Oker-Blom. Different aspects of trade mark confusion with respect to distribution of CAD files in the era of 3D printing. In Taina Pihlajarinne, Juha Vesala, and Olli Honkkila, editors, Online Distribution of Content in the EU, page 153–170, United Kingdom, 1 2019. Edward Elgar.

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169. Vid Podpecan, Živa Ramšak, Kristina Gruden, Hannu Toivonen, and Nada Lavrac. Interactive exploration of heterogeneous biological networks with Biomine Explorer. Bioinformatics, 6 2019.

170. Jurgen Poesche, Taina Elisa Pihlajarinne, Anette Katariina Alen-Savikko, Timo Nyberg, and Ilkka Kauranen. Decentralized Production: The Need for Social Norms-Based Intellectual Property?. International journal on management of innovation & technology, 16(2):1-18, 4 2019.

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241. Alexander M. Wailan, Francesc Coll, Eva Heinz, Gerry Tonkin-Hill, Jukka Corander, Nicholas A. Feasey, and Nicholas R. Thomson. rPinecone: Define sub-lineages of a clonal expansion via a phylogenetic tree. Microbial Genomics, 5(4), 4 2019.

242. Jan Walleczek, Gerhard Grössing, Paavo Pylkkänen, and Basil J. Hiley. Emergent Quantum Mechanics: David Bohm Centennial Perspectives. Entropy, 21(2), 2 2019.

243. Satu Mari-Anna Wiklund and Martti Tapani Vainio. Pitch-related features in the speech of Finnish- and French-speaking boys with autism in data coming from group therapy sessions. In Juhani Härmä, Hartmut Lenk, Begoa Sanromán Vilas , and Elina Suomela-Härmä, editors, Studies in Comparative Pragmatics, United Kingdom, 2019. Cambridge Scholars Publishing.

244. William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, and Arno Solin. Unifying Probabilistic Models for Time-frequency Analysis. In 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pages 3352-3356, United States, 5 2019. Institute of Electrical and Electronics Engineers.

245. Cagatay Yildiz, Markus Heinonen, and Harri Lähdesmäki. ODE2VAE: Deep generative second order ODEs with Bayesian neural networks. In NeurIPS, 2019.

246. Hüseyin Yiǧitler, Ossi Kaltiokallio, Roland Hostettler, Alemayehu Solomon Abrar, Riku Jäntti, Neal Patwari, and Simo Särkkä. RSS Models for Respiration Rate Monitoring. IEEE Transactions on Mobile Computing, 2019.

247. Petri K Ylikoski. Commentary: Versioning and structural change. In Michiru Nagatsu and Attilia Ruzzene, editors, Contemporary Philosophy and Social Science, pages 231-236, United Kingdom, 5 2019. Bloomsbury academic.

248. Petri K Ylikoski. Kareem Khalifa, Understanding, Explanation, and Scientific Knowledge, Cambridge University Press, 2017, 252pp., 105.00 (hbk), ISBN 9781107195636. Notre Dame philosophical reviews, 8 2019.

249. Frederick A. Zeiler, Charles McFadyen, Virginia F. J. Newcombe, Anneliese Synnot, Emma L. Donoghue, Samuli Ripatti, Ewout W. Steyerbere, Russel L. Gruen, Thomas W. McAllister, Jonathan Rosand, Aarno Palotie, Andrew I. R. Maas, and David K. Menon. Genetic Influences on Patient-Oriented Outcomes in Traumatic Brain Injury: A Living Systematic Review of Non-Apolipoprotein E Single-Nucleotide Polymorphisms. Journal of Neurotrauma, 6 2019.

250. Chao Zhu, Jin Tao, Giancarlo Pastor Figueroa, Yu Xiao, Yusheng Ji, Quan Zhou, Yong Li, and Antti Ylä-Jääski. Folo: Latency and Quality Optimized Task Allocation in Vehicular Fog Computing. IEEE Internet of Things Journal, 6(3):4150 - 4161, 6 2019.

251. Zillner, Sonja (Editor); Bisset, David (Editor); García Robles, Ana (Editor); Hahn, Thomas (Editor); Lafrenz, Reinhard (Editor); Liebert, Bernd (Editor); Curry, Edward (Editor); Södergård, Caj (Contributor); et al. (Contributor). Strategic Research, Innovation and Deployment Agenda for an AI PPP : A focal point for collaboration on Artificial Intelligence, Data and Robotics: Consultation Release. 1.3 ed. Big Data Value Association BDV, 2019. 56 p.

252. Agustin Zuniga, Huber Flores, Pan Hui, Jukka Manner, and Petteri Nurmi. Tortoise or hare? Quantifying the effects of performance on mobile app retention. In The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019, 2019, pages 2517-2528. ACM, 5 2019.

PUBLICATIONS 1.2.–30.4.2019

1. Iftikhar Ahmad, Petri Rantanen, Pekka Sillberg, Jorma Laaksonen, Shuhua Liu, Thomas Forss, Aqdas Malik, Marko Nieminen, Rakshith Shetty, Satoru Ishikawa, Jarno Kallio, Jukka P. Saarinen, Moncef Gabbouj, and Jari Soini. VisualLabel: An integrated multimedia content management and access framework. In Naofumi Yoshida, Chawan Koopipat, Yasushi Kiyoki, Petchporn Chawakitchareon, Aran Hansuebsai, Virach Sornlertlamvanich, Bernhard Thalheim, and Hannu Jaakkola, editors, Information Modelling and Knowledge Bases XXIX, Frontiers in Artificial Intelligence and Applications, pages 321-342. IOS Press, 1 2018.

2. Salvatore Andolina, Valeria Orso, Hendrik Schneider, Khalil Klouche, Tuukka Ruotsalo, Luciano Gamberini, and Giulio Jacucci. SearchBot: Supporting voice conversations with proactive search. In CSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing, pages 9-12. Association for Computing Machinery, 10 2018.

3. Alexandre Angleraud, Quentin Houbre, Ville Kyrki, and Roel Pieters. Human-Robot Interactive Learning Architecture using Ontologies and Symbol Manipulation. In Proceedings of the 27th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2018, pages 384-389, United States, 11 2018. Institute of Electrical and Electronics Engineers.

4. Asta Bäck, Nicholas Diakopoulos, Mark Granroth-Wilding, Lauri Haapanen, Leo Juhani Leppänen, Magnus Melin, Tom Arne Moring, Myriam Douce Munezero, Stefanie Joanna Siren-Heikel, Caj Södergrd, and Hannu Toivonen. News Automation: The rewards, risks and realities of 'machine journalism'. World Association of Newspapers and News Publishers, WAN-IFRA, Germany, 3 2019.

5. Mattia Giovanni Campana, Franca Delmastro, Dimitris Chatzopoulos, and Pan Hui. Lightweight modeling of user context combining physical and virtual sensor data. In Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, pages 1309-1320, United States, 2018. ACM.

6. Pablo Cesar, Cheng-Hsin Hsu, Chun-Ying Huang, and Pan Hui. Best Papers of the ACM Multimedia Systems (MMSys) Conference 2017 and the ACM Workshop on Network and Operating System Support for Digital Audio and Video (NOSSDAV) 2017. ACM Transactions on Multimedia Computing Communications and Applications, 14(3), 8 2018.

7. D. Chatzopoulos, S. Gujar, B. Faltings, and P. Hui. Privacy preserving and cost optimal mobile crowdsensing using smart contracts on blockchain. In 2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), IEEE International Conference on Mobile Ad-hoc and Sensor System, pages 442-450, International, 2018. IEEE.

8. Lu Cheng, Siddharth Ramchandran, Tommi Vatanen, Niina Lietzén, Riitta Lahesmaa, Aki Vehtari, and Harri Lähdesmäki. An additive Gaussian process regression model for interpretable non-parametric analysis of longitudinal data. Nature Communications, 10(1):1-11, 4 2019.

9. Mangtik Chiu, Jiayu Shu, and Pan Hui. Emotion Recognition through Gait on Mobile Devices. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018, pages 800-805, International, 2018. IEEE.

10. Amelieke J. H. Cremers, Fredrick M. Mobegi, Christa van der Gaast-de Jongh, Michelle van Weert, Fred J. van Opzeeland, Minna Vehkala, Mirjam J. Knol, Hester J. Bootsma, Niko Välimaki, Nicholas J. Croucher, Jacques F. Meis, Stephen Bentley, Sacha A. F. T. van Hijum, Jukka Corander, Aldert L. Zomer, Gerben Ferwerda, and Marien I. de Jonge. The Contribution of Genetic Variation of Streptococcus pneumoniae to the Clinical Manifestation of Invasive Pneumococcal Disease. Clinical Infectious Diseases, 68(1):61-69, 1 2019.

11. Jean P. Elbers, Mark F. Rogers, Polina L. Perelman, Anastasia A. Proskuryakova, Natalia A. Serdyukova, Warren E. Johnson, Petr Horin, Jukka Corander, David Murphy, and Pamela A. Burger. Improving Illumina assemblies with Hi-C and long reads: an example with the North African dromedary. Molecular Ecology Resources, 0(ja), 4 2019.

12. Huber Flores, Petteri Nurmi, Sasu Tarkoma, and Pan Hui. Poster: MobilecloudSim: A context-aware simulation toolkit for mobile computational offloading. In Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, pages 38-41, United States, 2018. ACM.

13. Angel F. Garcia-Fernandez, Filip Tronarp, and Simo Särkkä. Gaussian process classification using posterior linearization. IEEE Signal Processing Letters, 26(5):735-739, 5 2019.

14. Kunal Ghosh, Annika Stuke, Milica Todorović, Peter Bjrn Jrgensen, Mikkel N. Schmidt, Aki Vehtari, and Patrick Rinke. Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra. Advanced Science, pages 1-7, 1 2019.

15. Camille Gobert, Kashyap Todi, Gilles Bailly, and Antti Oulasvirta. SAM: Self-adapting Menus on the Web. pages 75-76, 3 2019. International Conference on Intelligent User Interfaces, IUI.

16. Morteza Golkarifard, Ji Yang, Zhanpeng Huang, Ali Movaghar, and Pan Hui. Dandelion: A Unified Code Offloading System for Wearable Computing. IEEE Transactions on Mobile Computing, 18(3):546-559, 3 2019.

17. Qingyuan Gong, Yang Chen, Jiyao Hu, Qiang Cao, Pan Hui, and Xin Wang. Understanding Cross-Site Linking in Online Social Networks. ACM Transactions on the Web, 12(4), 11 2018.

18. Lachlan Gunn, Ricardo Vieitez Parra, and N. Asokan. Circumventing Cryptographic Deniability with Remote Attestation. In Proceedings on Privacy Enhancing Technologies, Germany, 2019. de Gruyter.

19. Jaap Ham, Anna Spagnolli, Benjamin Blankertz, Luciano Gamberini, and Giulio Jacucci. Preface, pages V-VI. Number 10727 in Lecture Notes in Computer Science LNCS. Springer, International, 2018.

20. Murtaza Hazara and Ville Kyrki. Transferring Generalizable Motor Primitives From Simulation to Real World. IEEE Robotics and Automation Letters, 4(2):2172-2179, 4 2019.

21. Jaakko Jukka Samuli Hemminki, Petteri Tapio Nurmi, Sasu Arimo Olavi Tarkoma, Shin'Ichi Konomi, and Keisuke Kuribayashi. Crowd Replication: Sensing-Assisted Quantification of Human Behaviour in Public Spaces. ACM transactions on spatial algorithms and systems, 2019.

22. Andreas Henelius, Emilia Oikarinen, and Kai Puolamäki. Tiler: Software for human-guided data exploration. In Ulf Brefeld, Alice Marascu, Fabio Pinelli, Edward Curry, Brian MacNamee, Neil Hurley, Elizabeth Daly, and Michele Berlingerio, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 672-676. Springer Verlag, 1 2019.

23. Naser Hossein Motlagh, Martha Zaidan, Eemil Lagerspetz, Samu Varjonen, Juhani Toivonen, Julien Mineraud, Andrew Rebeiro-Hargrave, Matti Siekkinen, Tareq Hussein, Petteri Nurmi, and Sasu Tarkoma. Indoor Air Quality Monitoring Using Infrastructure-Based Motion Detectors. In 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), United States, 2019. IEEE.

24. Yi-Ta Hsieh, Antti Jylhä, Valeria Orso, Salvatore Andolina, Eve Hoggan, Luciano Gamberini, and Giulio Jacucci. Developing hand-worn input and haptic support for real-world target finding. Personal and Ubiquitous Computing, 23(1):117-132, 2 2019.

25. Yao-Chieh Hu, Dimitris Chatzopoulos, Ting-Ting Lee, and Pan Hui. Hierarchical interactions between ethereum smart contracts across testnets. In Proceedings of the 1st Workshop on Cryptocurrencies and Blockchains for Distributed Systems, pages 7-12, United States, 2018. ACM.

26. Elias Benjamin Jääsaari, Ville Oskari Hyvönen, and Teemu Teppo Roos. Efficient Autotuning of Hyperparameters in Approximate Nearest Neighbor Search. In Advances in Knowledge Discovery and Data Mining. PAKDD 2019, volume 11440 of Lecture Notes in Artificial Intelligence, pages 590-602, International, 4 2019. Springer.

27. Dietrich Kammer, Mandy Keck, Andreas Both, Giulio Jacucci, and Rainer Groh. VisBIA 2018 - Workshop on visual interfaces for big data environments in industrial applications. ACM, United States, 2018.

28. Xiaoyan Kui, Amit Samanta, Xiangming Zhu, Shigeng Zhang, Yong Li, and Pan Hui. Energy-aware temporal reachability graphs for time-varying mobile opportunistic networks. IEEE Transactions on Vehicular Technology, 67(10):9831-9844, 10 2018.

29. Eemil Lagerspetz, Naser Hossein Motlagh, Martha Zaidan, Pak Lun Fung, Julien Mineraud, Samu Varjonen, Matti Siekkinen, Petteri Nurmi, Yutaka Matsumi, Sasu Tarkoma, and Tareq Hussein. MegaSense: Feasibility of Low-Cost Sensors for Pollution Hot-spot Detection. In 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), United States, 7 2019. IEEE.

30. John A. Lees, Simon R. Harris, Gerry Tonkin-Hill, Rebecca A. Gladstone, Stephanie W. Lo, Jeffrey N. Weiser, Jukka Corander, Stephen D. Bentley, and Nicholas J. Croucher. Fast and flexible bacterial genomic epidemiology with PopPUNK. Genome Research, 29(2):304-316, 2 2019.

31. Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn, Kai Rainer Puolamäki, Emilia Kristiina Oikarinen, and Tijl de Bie. Subjectively Interesting Subgroup Discovery on Real-valued Targets. In 2018 IEEE 34th International Conference on Data Engineering (ICDE), Data engineering, pages 1352-1355, International, 2018. IEEE.

32. Hans Liljestrand, Thomas Nyman, Kui Wang, Carlos Chinea Perez, Jan-Erik Ekberg, and N. Asokan. PAC it up: Towards Pointer Integrity using ARM Pointer Authentication. In Proceedings of the 28th USENIX Security Symposium, USENIX Security 2019. USENIX Association, 1 2019.

33. Luca Lovagnini, Farshid Hassani Bijarbooneh, Wenxiao Zhang, and Pan Hui. CircE: Real-time caching for instance recognition on cloud environments and multi-core architectures, pages 346-354.ACM, United States, 2018.

34. Samuel Marchal, Markus Miettinen, Thien Duc Nguyen, Ahmad-Reza Sadeghi, and N. Asokan. AuDI: Towards Autonomous IoT Device-Type Identification using Periodic Communication. IEEE Journal on Selected Areas in Communications, 6 2019.

35. Pedro Martins, Hugo Goncalo Oliveira, Joo Carlos Gonalves, António Cruz, Amílcar Cardoso, Martin Žnidaršič, Nada Lavrač, Simo Linkola, Hannu Toivonen, Raquel Hervás, Gonzalo Méndez, and Pablo Gervás. Computational Creativity Infrastructure for Online Software Composition: A Conceptual Blending Use Case. IBM Journal of Research and Development, 63(1):9:1-9:17, 2 2019.

36. Sven Mayer, Lars Lischke, Jens Emi Grnbk, Zhanna Sarsenbayeva, Jonas Vogelsang, Paweł W. Woźniak, Niels Henze, and Giulio Jacucci. Pac-many: Movement behavior when playing collaborative and competitive games on large displays. ACM, United States, 2018.

37. Alan McNally, Teemu Kallonen, Christopher Connor, Khalil Abudahab, David M. Aanensen, Carolyne Horner, Sharon J. Peacock, Julian Parkhill, Nicholas J. Croucher, and Jukka Corander. Diversification of Colonization Factors in a Multidrug-Resistant Escherichia coli Lineage Evolving under Negative Frequency-Dependent Selection. mBio, 10(2):e00644-19, 4 2019.

38. Maria L. Montoya Freire, Dominic Potts, Niraj Ramesh Dayama, Antti Oulasvirta, and Mario Di Francesco. Foraging-based optimization of pervasive displays. Pervasive and Mobile Computing, 55:45-58, 4 2019.

39. Florian Mueller, Zach Toups, Daniel Johnson, Peta Wyeth, Ben Schouten, Perttu Hämäläinen, Jo Iacovides, Elisa Mekler, Hartmut Koenitz, Günter Wallner, Max Birk, Lila Bozgeyikli, and Kathrin Gerling. Chi play 2018 welcome, pages iii-vi. Proceedings of the Annual Symposium on Computer-Human Interaction in Play.ACM, 10 2018.

40. Matti Nelimarkka, Giulio Jacucci, Antti Salovaara, Steven Dow, Kenton O’Hara, Louise Barkhuus, and Joel Fischer. Hybrid events: Mediating collocated participation. In CSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing, pages 455-462, United States, 2018. ACM.

41. Thomas Nyman, Ghada Dessouky, Shaza Zeitouni, Aaro Lehikoinen, Andrew Paverd, N. Asokan, and Ahmad-Reza Sadeghi. HardScope: Hardening Embedded Systems Against Data-Oriented Attacks. [To appear] in Proceedings of the 56th Annual Design Automation Conference 2019, DAC 2019, 2 2019.

42. Valeria Orso, Patrik Pluchino, Andrea Beretta, Giulio Jacucci, and Luciano Gamberini. Comparative usability evaluation of moverio and smartphone. In Katherine Blashki, Luis Rodrigues, and Yingcai Xiao, editors, MCCSIS 2018 - Multi Conference on Computer Science and Information Systems; Proceedings of the International Conferences on Interfaces and Human Computer Interaction 2018, Game and Entertainment Technologies 2018 and Computer Graphics, Visualization, Computer Vision and Image Processing 2018, volume 2018-July, pages 19-25. IADIS, 1 2018.

43. Vladimir Petrik and Ville Kyrki. Influence of Recent History to System Controllability. 12 2018. Workshop: Reinforcement Learning under Partial Observability; Conference on Neural Information Processing Systems, NeurIPS.

44. Xiangju Qin, Paul Blomstedt, Eemeli Leppäaho, Pekka Parviainen, and Samuel Kaski. Distributed Bayesian matrix factorization with limited communication. Machine Learning, pages 1-26, 1 2019.

45. Mattia Racca, Antti Oulasvirta, and Ville Kyrki. Teacher-Aware Active Robot Learning. In HRI 2019 - 14th ACM/IEEE International Conference on Human-Robot Interaction, volume 2019-March of ACM/IEEE International Conference on Human-Robot Interaction, pages 335-343, United States, 3 2019. Institute of Electrical and Electronics Engineers.

46. Jenni Radun, Huageng Chi, Kristian Lukander, Miika Toivanen, Kai Puolamäki, and Jukka Pekka Häkkinen. A comparison of goal-oriented gaze strategies of object interaction with real objects and images on display. Vision Research, 11 2018.

47. Luiza Sayfullina, Eric Malmi, and Juho Kannala. Learning representations for soft skill matching. In Alexander Panchenko, Wil M. van der Aalst, Michael Khachay, Panos M. Pardalos, Vladimir Batagelj, Natalia Loukachevitch, Goran Glavaš, Dmitry I. Ignatov, Sergei O. Kuznetsov, Olessia Koltsova, Irina A. Lomazova, Andrey V. Savchenko, Amedeo Napoli, and Marcello Pelillo, editors, Analysis of Images, Social Networks and Texts - 7th International Conference, AIST 2018, Revised Selected Papers, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 141-152. Springer Verlag, 1 2018.

48. Michael Schober, Simo Särkkä, and Philipp Hennig. A probabilistic model for the numerical solution of initial value problems. Statistics and Computing, 29(1):99-122, 1 2019.

49. Jiayu Shu, Sokol Kosta, Rui Zheng, and Pan Hui. Demo: Talk2Me - A Framework for D2D Augmented Reality Social Network. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018, pages 449-451, International, 2018. IEEE.

50. Stephan Sigg, Eemil Lagerspetz, Ella Peltonen, Petteri Tapio Nurmi, and Sasu Arimo Olavi Tarkoma. Exploiting usage to predict instantaneous app popularity: Trend filters and retention rates. ACM Transactions on the Web, 2019, 2 2019.

51. U. Simola, B. Pelssers, D. Barge, J. Conrad, and J. Corander. Machine learning accelerated likelihood-free event reconstruction in dark matter direct detection. Journal of Instrumentation, 14, 3 2019.

52. Jeff Sperinde, Weidong Huang, Aki Vehtari, Ahmed Chenna, Pirkko-Liisa Kellokumpu-Lehtinen, John Winslow, Petri Bono, Yolanda S. Lie, Christos J. Petropoulos, Jodi Weidler, and Heikki Joensuu. p95HER2 Methionine 611 Carboxy-Terminal Fragment Is Predictive of Trastuzumab Adjuvant Treatment Benefit in the FinHer Trial. Clinical Cancer Research, 24(13):3046-3052, 7 2018.

53. Grönroos Stig-Arne, Benoit Huet, Mikko Kurimo, Jorma Laaksonen, Bernard Merialdo, Phu Pham, Mats Sjöberg, Umut Sulubacak, Jörg Tiedemann, Raphaël Troncy, and Juan Ral Vázquez Carrillo. The MeMAD Submission to the WMT18 Multimodal Translation Task. In Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Lucia Specia, Marco Turchi, and Karin Verspoor, editors, Proceedings of the Third Conference on Machine Translation (WMT), pages 603-611, International, 11 2018. Association for Computational Linguistics.

54. Umut Sulubacak, Jörg Tiedemann, Aku Rouhe, Grönroos Stig-Arne, and Mikko Kurimo. The MeMAD Submission to the IWSLT 2018 Speech Translation Task. In Marco Turchi, Jan Niehues, and Marcello Frederico, editors, Proceedings of the 15th International Workshop on Spoken Language Translation (IWSLT 2018), pages 89-94, 10 2018.

55. Hamed R. Tavakoli, Esa Rahtu, Juho Kannala, and Ali Borji. Digging deeper into egocentric gaze prediction. In Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019, pages 273-282, United States, 3 2019. Institute of Electrical and Electronics Engineers.

56. Liisa Maria Tiittula, Mikko Kurimo, Andre Mansikkaniemi, and Päivi Rainò. Ohjelmatekstityksen toimivuus eri kohderyhmien näkökulmasta. MikaEL Kääntämisen ja tulkkauksen tutkimuksen symposiumin verkkojulkaisu, 11:20-34, 2018.

57. Milica Todorović, Michael U. Gutmann, Jukka Corander, and Patrick Rinke. Bayesian inference of atomistic structure in functional materials. npj Computational Materials, 5(1):1-7, 3 2019.

58. Filip Tronarp and Simo Särkkä. Iterative statistical linear regression for Gaussian smoothing in continuous-time non-linear stochastic dynamic systems. Signal Processing, 159:1-12, 6 2019.

59. Maria Uther, Anna-Riikka Smolander, Katja Junttila, Mikko Kurimo, Reima Karhila, Seppo Enarvi, and Sari Ylinen. User Experiences from L2 Children Using a Speech Learning Application: Implications for Developing Speech Training Applications for Children. Advances in Human - Computer Interaction, 2018, 2018.

60. Tommi Vatanen, Damian R. Plichta, Juhi Somani, Philipp C. Muench, Timothy D. Arthur, Andrew Brantley Hall, Sabine Rudolf, Edward J. Oakeley, Xiaobo Ke, Rachel A. Young, Henry J. Haiser, Raivo Kolde, Moran Yassour, Kristiina Luopajarvi, Heli Siljander, Suvi M. Virtanen, Jorma Ilonen, Raivo Uibo, Vallo Tillmann, Sergei Mokurov, Natalya Dorshakova, Jeffrey A. Porter, Alice C. McHardy, Harri Lahdesmaki, Hera Vlamakis, Curtis Huttenhower, Mikael Knip, and Ramnik J. Xavier. Genomic variation and strain-specific functional adaptation in the human gut microbiome during early life. Nature Microbiology, 4(3):470-479, 3 2019.

61. Tung Vuong, Giulio Jacucci, and Tuukka Ruotsalo. Naturalistic digital task modeling for personal information assistance via continuous screen monitoring. In Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, pages 778-785, United States, 2018. ACM.

62. Tung Vuong, Miamaria Saastamoinen, Giulio Jacucci, and Tuukka Ruotsalo. Understanding User Behavior in Naturalistic Information Search Tasks. Journal of the Association for Information Science and Technology, 0, 3 2019.

63. Chen Wang, Sayan Sarcar, Masaaki Kurosu, Jeffrey Bardzell, Antti Oulasvirta, Aliaksei Miniukovich, and Xiangshi Ren. Approaching Aesthetics on User Interface and Interaction Design. In ISS 2018 - Proceedings of the 2018 ACM International Conference on Interactive Surfaces and Spaces, pages 481-484. Association for Computing Machinery, Inc, 11 2018.

64. Wenxiao Zhang, Huber Flores, and Pan Hui. Towards collaborative multi-device computing. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018, pages 22-27, International, 2018. IEEE.

65. Wenxiao Zhang, Bo Han, and Pan Hui. Jaguar: Low latency mobile augmented reality with flexible tracking. In MM 2018, pages 355-363, United States, 2018. ACM.

66. Wenxiao Zhang, Bo Han, Pan Hui, Vijay Gopalakrishnan, Eric Zavesky, and Feng Qian. CARS: Collaborative Augmented Reality for Socialization. In HotMobile '18, pages 25-30, United States, 2018. Association for Computing Machinery.

67. Wladimir Agustin Zuniga Corrales, Huber Raul Flores Macario, Eemil Lagerspetz, Sasu Arimo Olavi Tarkoma, Jukka Manner, Pan Hui, and Petteri Tapio Nurmi. Tortoise or Hare? Quantifying the Effects of Performance on Mobile App Retention. In Proceedings of the 2019 World Wide Web Conference (WWW '19), Switzerland, 5 2019. International World Wide Web Conferences Steering Committee.

PUBLICATIONS 1.11.2018–31.1.2019

1. Sergio Arredondo-Alonso, Malbert R. C. Rogers, Johanna C. Braat, Tess D. Verschuuren, Janetta Top, Jukka Corander, Rob J. L. Willems, and Anita C. Schürch. mlplasmids: a user-friendly tool to predict plasmid- and chromosome-derived sequences for single species. Microbial Genomics, 4(11), 11 2018.

2. Andrea Bellucci, Andrea Vianello, Yves Florack, Luana Micallef, and Giulio Jacucci. Augmenting objects at home through programmable sensor tokens: A design journey. International Journal of Human-Computer Studies, 122:211-231, 2019.

3. K. H. Blomqvist and L. Kärkkäinen. Differential photoplethysmogram sensor with an optical notch filter shows potential for reducing motion artifact signals. Biomedical Physics & Engineering Express, 4(4), 5 2018.

4. Santiago Cortes Reina, Arno Solin, and Juho Kannala. Deep learning based speed estimation for constraining strapdown inertial navigation on smartphones. In 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP), pages 1-6, United States, 2018. Institute of Electrical and Electronics Engineers.

5. Santiago Cortés, Arno Solin, Esa Rahtu, and Juho Kannala. ADVIO: An authentic dataset for visual-inertial odometry. In Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 425-440, Germany, 1 2018. Springer Verlag.

6. Jingtao Ding, Rui Xu, Yong Li, Pan Hui, and Depeng Jin. Measurement-Driven Modeling for Connection Density and Traffic Distribution in Large-Scale Urban Mobile Networks. IEEE Transactions on Mobile Computing, 17(5):1105-1118, 5 2018.

7. Huber Raul Flores Macario, Petteri Tapio Nurmi, and Pan Hui. AI on the Move: From On-Device to On-Multi-Device. In Proceedings of the IEEE International Conference on Pervasive Computing and Communications (PerCom Workshops 2019), 2019.

8. Rui Gao, Filip Tronarp, and Simo Särkkä. Combined Analysis-L1 and Total Variation ADMM with Applications to MEG Brain Imaging and Signal Reconstruction. In Proceedings of the 26th European Signal Processing Conference, EUSIPCO 2018, European Signal Processing Conference, pages 1930-1934. IEEE Computer Soc, 2018.

9. Xianyi Gao, Yulong Yang, Can Liu, Christos Mitropoulos, Janne Lindqvist, and Antti Oulasvirta. Forgetting of passwords: Ecological theory and data. In Proceedings of the 27th USENIX Security Symposium, pages 221-238. USENIX Association, 2018.

10. Andrew Gelman, Ben Goodrich, Jonah Gabry, and Aki Vehtari. R-squared for Bayesian regression models. American Statistician, pages 1-6, 2018.

11. Camille Gobert, Kashyap Todi, Gilles Bailly, and Antti Oulasvirta. SAM: A Modular Framework for Self-Adapting Web Menus. In 24rd International Conference on Intelligent User Interfaces, IUI '19. ACM, 3 2019.

12. Qingyuan Gong, Yang Chen, Xinlei He, Fei Li, Yu Xiao, Pan Hui, Xin Wang, and Xiaoming Fu. Identification of Influential Users in Emerging Online Social Networks Using Cross-Site Linking. In Yuqing Sun, Tun Lu, Xiaolan Xie, Liping Gao, Liping Gao, and Hongfei Fan, editors, Computer Supported Cooperative Work and Social Computing, Communications in Computer and Information Science, pages 331-341. Springer, 12 2018.

13. Antti Granqvist, Tapio Takala, Jari Takatalo, and Perttu Hämäläinen. Exaggeration of Avatar Flexibility in Virtual Reality. In CHI PLAY 2018 - Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play, pages 201-209. Association for Computing Machinery, Inc, 2018.

14. Mark Granroth-Wilding and Hannu Toivonen. Unsupervised Learning of Cross-Lingual Symbol Embeddings Without Parallel Data. In Proceedings of the Society for Computation in Linguistics, volume 2, 1 2019.

15. Tommi Gröndahl, Luca Pajola, Mika Juuti, Mauro Conti, and N. Asokan. All You Need Is "Love": Evading Hate Speech Detection. In Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security, pages 2-12. ACM, 2018.

16. Stig-Arne Grönroos, Benoit Huet, Mikko Kurimo, Jorma Laaksonen, Bernard Merialdo, Phu Pham, Mats Sjöberg, Umut Sulubacak, Jörg Tiedemann, Raphael Troncy, and Ral Vázquez. The MeMAD submission to the WMT18 multimodal translation task. In Proceedings of the Third Conference on Machine Translation (WMT), Volume 2: Shared Task Papers, volume 2, pages 609-617. Association for Computational Linguistics, 2018.

17. Stig-Arne Grönroos, Sami Virpioja, and Mikko Kurimo. Cognate-aware morphological segmentation for multilingual neural translation. In Third Conference on Machine Translation (WMT18); Brussels, Belgium, pages 390-397. Association for Computational Linguistics, 10 2018.

18. Eric Halbach, Aarne Halme, and Ville Kyrki. Investigation of Robotic Material Loading Strategies using an Earthmoving Simulator. In Esko Juuso, Erik Dahlquist, and Kauko Leiviskä, editors, Proceedings of The 9th EUROSIM Congress on Modelling and Simulation (EUROSIM 2016), The 57th SIMS Conference on Simulation and Modelling (SIMS 2016), number 142 in Linköping electronic conference proceedings, pages 1102-1108, Sweden, 12 2018. Linköping University Electronic Press.

19. Seppo Hatonen, Petri Toivo Emil Savolainen, Ashwin Satish Rao, Hannu Flinck, and Sasu Arimo Olavi Tarkoma. SWIFT: Bringing SDN Based Flow Management to Commodity Wi-Fi Access Points. In IFIP Networking 2018, pages 172-180, Switzerland, 2018. International Federation for Information Processing.

20. Mikko Heikkilä, Joonas Jälkö, Onur Dikmen, and Antti Honkela. Differentially Private Markov Chain Monte Carlo. 1 2019.

21. Markus Heinonen, Maria Osmala, Henrik Mannerström, Janne Wallenius, Samuel Kaski, Juho Rousu, and Harri Lähdesmäki. Bayesian Metabolic Flux Analysis reveals intracellular flux couplings. CoRR, abs/1804.06673, 2018.

22. Ari Heljakka, Arno Solin, and Juho Kannala. Recursive Chaining of Reversible Image-to-Image Translators for Face Aging. In Advanced Concepts for Intelligent Vision Systems - 19th International Conference, ACIVS 2018, Proceedings, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 309-320, Germany, 1 2018. Springer Verlag.

23. Ari Heljakka, Arno Solin, and Juho Kannala. Pioneer Networks: Progressively Growing Generative Autoencoder. CoRR, abs/1807.03026, 2018.

24. Dan Andreas Henelius, Emilia Kristiina Oikarinen, and Kai Rainer Puolamäki. Tiler: Software for Human-Guided Data Exploration. In Ulf Brefeld, Edward Curry, Elizabeth Daly, Brian MacNamee, Alice Marascu, Fabio Pinelli, Michele Berlingerio, and Neil Hurley, editors, Machine Learning and Knowledge Discovery in Databases, Lecture Notes in Computer Science, pages 672-676, International, 2018. Springer.

25. Veera Hokkanen, Thomas Holmes, Hannu Koivuranta, Antti Sandberg, Helena Sorva, Juuso Toikka, Perttu Hämäläinen, and Maximus Kaos. Plusminus: Augmenting Physics to Promote Emergent Gameplay. pages 321-327, 10 2018. ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play.

26. Roland Hostettler, Filip Tronarp, and Simo Särkkä. Modeling the Drift Function in Stochastic Differential Equations using Reduced Rank Gaussian Processes. In 18th IFAC Symposium on System Identification, SYSID 2018, volume 51 of IFAC-PapersOnLine, pages 778-783. Elsevier, 1 2018.

27. Yi Ta Hsieh, Antti Jylhä, Valeria Orso, Salvatore Andolina, Eve Hoggan, Luciano Gamberini, and Giulio Jacucci. Developing hand-worn input and haptic support for real-world target finding. Personal and Ubiquitous Computing, 1 2018.

28. Pan Hui, Yong Li, Jörg Ott, Steve Uhlig, Bo Han, and Kun Tan. Mobile Big Data for Urban Analytics. IEEE Communications Magazine, 56(11):12-12, 11 2018.

29. Perttu Hämäläinen, Amin Babadi, Xiaoxiao Ma, and Jaakko Lehtinen. PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation. CoRR, abs/1810.02541, 2018.

30. Marko Järvenpää, Michael U. Gutmann, A. K.I. Vehtari, and Pekka Marttinen. Gaussian process modelling in approximate bayesian computation to estimate horizontal gene transfer in Bacteria. Annals of Applied Statistics, 12(4):2228-2251, 12 2018.

31. Elias Benjamin Jääsaari, Ville Oskari Hyvönen, and Teemu Teppo Roos. Efficient Autotuning of Hyperparameters in Approximate Nearest Neighbor Search. 2018.

32. Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen. Progressive Growing of GANs for Improved Quality, Stability, and Variation. In Proceedings of International Conference on Learning Representations (ICLR) 2018, 2018.

33. Toni Karvonen, Simo Särkkä, Silvere Bonnabel, and Eric Moulines. Bounds on the covariance matrix of a class of Kalman–Bucy filters for systems with non-linear dynamics. In Proceedings of 57th IEEE Conference on Decision and Control. IEEE, 2018.

34. Toni Karvonen, Simo Särkkä, and Chris J. Oates. A Bayes–Sard Cubature Method. 12 2018. International Conference on Neural Information Processing.

35. Samuel Kaski. AI is far from ready. Aalto University Magazine 23.

36. Janin Koch and Antti Oulasvirta. Group Cognition and Collaborative AI, pages 293 - 313. Human–Computer Interaction Series. Springer Verlag, Germany, 1 edition, 2018.

37. Polychronis Kondaxakis, Khurram Gulzar, Stefan Kinauer, Iasonas Kokkinos, and Ville Kyrki. Robot-Robot Gesturing for Anchoring Representations. IEEE Transactions on Robotics, 1 2018.

38. Antti Herman Koskela and Antti Juho Henrikki Honkela. Learning rate adaptation for differentially private stochastic gradient descent. 12 2018. NeurIPS 2018 Workshop: Privacy Preserving Machine Learning.

39. Arseny Kurnikov, Andrew Paverd, Mohammad Mannan, and N. Asokan. Keys in the Clouds: Auditable Multi-device Access to Cryptographic Credentials. In Proceedings of the 13th International Conference on Availability, Reliability and Security, ARES 2018, pages 40:1-40:10. ACM, 2018.

40. Jorma Laaksonen. PicSOM Content-Based Information Retrieval System: software source release version 0.37, 12 2018.

41. Eemil Lagerspetz, Samu Karel Luca Varjonen, Francesco Concas, Julien Vincent Mineraud, and Sasu Arimo Olavi Tarkoma. Demo: MegaSense: Megacity-scale Accurate Air Quality Sensing with the Edge. In MobiCom '18 Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, pages 843-845, International, 2018. ACM.

42. Jarkko Lagus, Krista Longi, Arto Klami, and Arto Hellas. Transfer-Learning Methods in Programming Course Outcome Prediction. ACM Transactions on Computing Education, 18(4):19:1-19:18, 11 2018.

43. Christina Lassheikki, Iina Nokelainen, Yuanqi Shan, Maximus Kaos, Martti Raevaara, Heikka Valja, and Perttu Hämäläinen. Fair and Encouraging - Developing an Automatic Assessment System in Aalto Drawing. pages 337-344, 10 2018. Extended abstracts.

44. John A. Lees, Marco Galardini, Stephen D. Bentley, Jeffrey N. Weiser, and Jukka Corander. pyseer: a comprehensive tool for microbial pangenome-wide association studies. Bioinformatics, 34(24):4310-4312, 12 2018.

45. Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, and Timo Aila. Noise2Noise: Learning image restoration without clean data. In Jennifer Dy and Andreas Krause, editors, 35th International Conference on Machine Learning, ICML 2018, volume 7, pages 4620-4631. International Machine Learning Society (IMLS), 1 2018.

46. Katri Leino, Antti Oulasvirta, and Mikko Kurimo. RL-KLM: Automating Keystroke-level Modeling with Reinforcement Learning. In 24th International Conference on Intelligent User Interfaces (IUI ’19). ACM SIGCHI, 3 2019.

47. Katri Leino, Kashyap Todi, Antti Oulasvirta, and Mikko Kurimo. Computer-Supported Form Design using Keystroke-Level Modeling with Reinforcement Learning. In 24rd International Conference on Intelligent User Interfaces. ACM SIGCHI, 2019.

48. Eemeli Leppäaho, Hanna Renvall, Elina Salmela, Juha Kere, Riitta Salmelin, and Samuel Kaski. Discovering heritable modes of MEG spectral power. Human Brain Mapping, 2019.

49. Tzu-Mao Li, Miika Aittala, Frédo Durand, and Jaakko Lehtinen. Differentiable Monte Carlo Ray Tracing Through Edge Sampling. ACM Transactions on Graphics, 37(6):1-11, 2018.

50. Xiaotian Li, Juha Ylioinas, and Juho Kannala. Full-Frame Scene Coordinate Regression for Image-Based Localization. CoRR, abs/1802.03237, 2018.

51. Xiaotian Li, Juha Ylioinas, Jakob Verbeek, and Juho Kannala. Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization. CoRR, abs/1808.04999, 2018.

52. Yi Chi Liao, Sunjun Kim, and Antti Oulasvirta. One button to rule them all: Rendering arbitrary force-displacement curves. pages 111-113, 10 2018. ACM Symposium on User Interface Software and Technology.

53. Shihan Lin, Rong Xie, Yang Chen, Yu Xiao, and Pan Hui. An Empirical Study of the Usage of the Swarm App's Cross-Site Sharing Feature. In UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers, pages 823-832. Association for Computing Machinery, Inc, 10 2018.

54. Xiaoxi B. Lin, Tuo Wang, Paul Stothard, Jukka Corander, Jun Wang, John F. Baines, Sarah C. L. Knowles, Laima Baltrunaité, Guergana Tasseva, Robert Schmaltz, Stephanie Tollenaar, Liz A. Cody, Theodore Grenier, Wei Wu, Amanda E. Ramer-Tait, and Jens Walter. The evolution of ecological facilitation within mixed-species biofilms in the mouse gastrointestinal tract. ISME Journal, 12(11):2770-2784, 7 2018.

55. Marko Linna, Juho Kannala, and Esa Rahtu. Real-time human pose estimation with convolutional neural networks. In Jose Braz, Francisco Imai, and Alain Tremeau, editors, VISAPP, volume 5, pages 335-342. SciTePress, 1 2018.

56. Jian Liu, Li Duan, Yong Li, and N. Asokan. Secure deduplication of encrypted data: Refined model and new constructions. In Nigel P. Smart, editor, Topics in Cryptology – CT-RSA 2018 - The Cryptographers’ Track at the RSA Conference 2018, Proceedings, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 374-393. Springer Verlag, 1 2018.

57. Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, and Philip H. S. Torr. Devon: Deformable Volume Network for Learning Optical Flow. CoRR, abs/1802.07351, 2018.

58. Jens Lundell, Robert Krug, Erik Schaffernicht, Todor Stoyanov, and Ville Kyrki. Safe-To-Explore State Spaces: Ensuring Safe Exploration in Policy Search with Hierarchical Task Optimization. In Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2018, IEEE-RAS International Conference on Humanoid Robots, United States, 11 2018. Institute of Electrical and Electronics Engineers.

59. Timo Lähivaara, Leo Kärkkäinen, Janne M.J. Huttunen, and Jan S. Hesthaven. Deep convolutional neural networks for estimating porous material parameters with ultrasound tomography. Journal of the Acoustical Society of America, 143(2):1148-1158, 2 2018.

60. Måns Magnusson, Aki Vehtari, and Michael Andersen. Bayesian loo for large data. In Symposium on Advances in Approximate Bayesian Inference, 12 2018.

61. Samuel Marchal and N. Asokan. On Designing and Evaluating Phishing Webpage Detection Techniques for the Real World. In 11th USENIX Workshop on Cyber Security Experimentation and Test (CSET 18). USENIX Association, 2018.

62. Markus Miettinen and N. Asokan. Ad-hoc key agreement: A brief history and the challenges ahead. Computer Communications, 131:32-34, 10 2018.

63. Markus Miettinen, Thien Duc Nguyen, Ahmad Reza Sadeghi, and N. Asokan. Revisiting context-based authentication in IoT. In Proceedings of the 55th Annual Design Automation Conference, DAC 2018, volume Part F137710, United States, 6 2018. Institute of Electrical and Electronics Engineers.

64. Beatrice Monastero, Andrés Lucero, Tapio Takala, Thomas Olsson, Giulio Jacucci, and Robb Mitchell. Multimedia Ubiquitous Technology for Opportunistic Social Interactions. In Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia, pages 545-550. ACM, 2018.

65. Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, and Janne Heikkilä. Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements. In 2018 24th International Conference on Pattern Recognition (ICPR), International Conference on Pattern Recognition (ICPR), pages 3068 -3073. IEEE, 2018.

66. Tommi Mäklin, Jukka Corander, and Antti Honkela. Identifying Bacterial Strains from Sequencing Data, pages 1-7. Methods in Molecular Biology. Humana press, United States, 2 edition, 2018.

67. Guillaume Méric, Leonardos Mageiros, Johan Pensar, Maisem Laabei, Koji Yahara, Ben Pascoe, Nattinee Kittiwan, Phacharaporn Tadee, Virginia Post, Sarah Lamble, Rory Bowden, James E. Bray, Mario Morgenstern, Keith A. Jolley, Martin C.J. Maiden, Edward J. Feil, Xavier Didelot, Maria Miragaia, Herminia de Lencastre, T. Fintan Moriarty, Holger Rohde, Ruth Massey, Dietrich Mack, Jukka Ilmari Corander, and Samuel K. Sheppard. Disease-associated genotypes of the commensal skin bacterium Staphylococcus epidermidis. Nature Communications, 9, 11 2018.

68. Kourosh Naderi, Amin Babadi, and Perttu Hämäläinen. Learning Physically Based Humanoid Climbing Movements. Computer Graphics Forum, 37(8):69-80, 2018.

69. Kourosh Naderi, Jari Takatalo, Jari Lipsanen, and Perttu Hämäläinen. Computer-aided imagery in sport and exercise: A case study of indoor wall climbing. In Proceedings Graphics Interface 2018, GI 2018, volume 2018-May, pages 84-90. Canadian Information Processing Society, 1 2018.

70. Matti Nelimarkka, Antti Salovaara, Kenton O'Hara, Joel Fischer, Giulio Jacucci, Steven Dow, and Louise Barkhuus. Hybrid Events: Mediating Collocated Participation. In CSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing, pages 455-462. ACM, 2018.

71. Kari Nousiainen, Kartiek Kanduri, Isis Ricao-Ponce, Cisca Wijmenga, Riitta Lahesmaa, Vinod Kumar, and Harri Lähdesmäki. snpEnrichR: analyzing co-localization of SNPs and their proxies in genomic regions. Bioinformatics, 34(23):4112-4114, 12 2018.

72. Antti Oulasvirta, Samuli De Pascale, Janin Koch, Thomas Langerak, Jussi Jokinen, Kashyap Todi, Markku Laine, Manoj Kristhombuge, Yuxi Zhu, Aliaksei Miniukovich, Gregorio Palmas, and Tino Weinkauf. Aalto Interface Metrics (AIM): A service and codebase for computational GUI evaluation. pages 16-19, 10 2018. ACM Symposium on User Interface Software and Technology.

73. Topi Paananen, Juho Piironen, Michael Andersen, and Aki Vehtari. Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution. In AISTATS 2019 Conference Proceedings, Proceedings of Machine Learning Research. JMLR W&CP, 12 2018.

74. Ella Emilia Peltonen, Eemil Lagerspetz, Jonatan Christian Hamberg, Abhinav Mehrotra, Mirco Musolesi, Petteri Tapio Nurmi, and Sasu Arimo Olavi Tarkoma. The hidden image of mobile apps: geographic, demographic, and cultural factors in mobile usage. In MobileHCI '18 Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services, United States, 2018. ACM.

75. Irene Petersen, Tomi Peltola, Samuel Kaski, Kate R Walters, and Sarah Hardoon. Depression, depressive symptoms and treatments in women who have recently given birth: UK cohort study. BMJ Open, 8(10):1-8, 10 2018.

76. Kai Puolamaki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, and Tijl De Bie. Interactive visual data exploration with subjective feedback: An information-theoretic approach. In Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE 2018), pages 1212-1215, United States, 10 2018. Institute of Electrical and Electronics Engineers.

77. Chang Rajani, Arto Klami, Ari Salmi, Timo Rauhala, Edward Haeggström, and Petri Myllymäki. Detecting Industrial Fouling by Monotonicity during Ultrasonic Cleaning. In 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP), International, 11 2018. IEEE.

78. Elena Reshetova, Hans Liljestrand, Andrew Paverd, and N. Asokan. Toward Linux kernel memory safety. Software-Practice and Experience, 48(12):2237-2256, 9 2018.

79. Hamed Rezazadegan Tavakoli, Esa Rahtu, Juho Kannala, and Ali Borji. Digging Deeper into Egocentric Gaze Prediction. In IEEE Winter Conference On Applications of Computer Vision (WACV). IEEE, 2019.

80. Shaghayegh Roohi, Jari Takatalo, Matias Kivikangas, and Perttu Hämäläinen. Neural Network Based Facial Expression Analysis of Game Events: A Cautionary Tale. In Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play, pages 429-437. ACM, 2018.

81. Aku Rouhe, Reima Karhila, Aija Elg, Minnaleena Toivola, Mayank Khandelwal, Peter Smit, Anna Riikka Smolander, and Mikko Kurimo. Captaina: Integrated pronunciation practice and data collection portal. In Proceedings of Interspeech, volume 2018-September of Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pages 1051-1052. International Speech Communication Association, 2018.

82. Tuukka Ruotsalo, Jaakko Peltonen, Manuel J.A. Eugster, Dorota Glowacka, Patrik Floréen, Petri Myllymäki, Giulio Jacucci, and Samuel Kaski. Interactive intent modeling for exploratory search. ACM Transactions on Information Systems, 36(4):44:1-46, 10 2018.

83. Juha Sarmavuori and Simo Särkkä. Numerical integration as a finite matrix approximation to multiplication operator. Journal of Computational and Applied Mechanics, 353:283-291, 6 2019.

84. Luiza Sayfullina, Eric Malmi, and Juho Kannala. Learning Representations for Soft Skill Matching. CoRR, abs/1807.07741, 2018.

85. Baris Serim and Giulio Jacucci. Explicating "Implicit Interaction": An Examination of the Concept and Challenges for Research. In CHI Conference on Human Factors in Computing Systems, International, 2019. ACM.

86. Stephan Sigg, Ella Peltonen, Eemil Lagerspetz, Petteri Nurmi, and Sasu Tarkoma. Exploiting usage to predict instantaneous app popularity: Trend filters and retention rates. ACM Transactions on the Web, 2019. [Link not available yet.] 

87. Mittul Singh, Peter Smit, Sami Virpioja, and Mikko Kurimo. First-pass decoding with n-gram approximation of RNNLM: The problem of rare words. In Machine Learning in Speech and Language Processing Workshop 2018, 9 2018.

88. Mats Sjöberg, Arturs Polis, Aditya Surikuchi, and Jorma Laaksonen. DeepCaption: PyTorch-based framework for image captioning research using deep learning, 12 2018.

89. Mats Sjöberg, Hamed R. Tavakoli, Zhicun Xu, Héctor Laria Mantecón, and Jorma Laaksonen. PicSOM Experiments in TRECVID 2018. In Proceedings of the TRECVID 2018 Workshop. TRECVID, 11 2018.

90. Arno Solin, Santiago Cortes Reina, Esa Rahtu, and Juho Kannala. Inertial Odometry on Handheld Smartphones. In 2018 21st International Conference on Information Fusion, FUSION 2018, pages 1361-1368, United States, 2018. Institute of Electrical and Electronics Engineers.

91. Umut Sulubacak, Jörg Tiedemann, Aku Rouhe, Stig-Arne Grönroos, and Mikko Kurimo. The MeMAD Submission to the IWSLT 2018 Speech Translation Task. In 15th International Workshop on Spoken Language Translation 2018, pages 89-94, 10 2018.

92. Iiris Sundin, Peter Schulam, Eero Siivola, Aki Vehtari, Suchi Saria, and Samuel Kaski. Using counterfactual queries to improve models for decision-support. 2018. ICML/IJCAI/AAMAS Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action.

93. Kimmo Suotsalo and Simo Särkkä. On-line Bayesian parameter estimation in electrocardiogram state space models. In Nelly Pustelnik, Zheng-Hua Tan, Zhanyu Ma, and Jan Larsen, editors, 2018 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2018 - Proceedings, volume 2018-September of IEEE International Workshop on Machine Learning for Signal Processing. IEEE Computer Society Press, 10 2018.

94. Usama Tariq, Rajkumar Muthusamy, and Ville Kyrki. Grasp Planning for Load Sharing in Collaborative Manipulation. In Proceedings of the 2018 IEEE International Conference on Robotics and Automation, ICRA 2018, IEEE International Conference on Robotics and Automation ICRA, pages 6847-6854. IEEE COMPUTER SOC, 2018.

95. Soumya Tripathy, Juho Kannala, and Esa Rahtu. Learning image-to-image translation using paired and unpaired training samples. CoRR, abs/1805.03189, 2018.

96. Filip Tronarp, Roland Hostettler, and Simo Särkkä. Continuous-Discrete von Mises-Fisher Filtering on S2 for Reference Vector Tracking. In Proceedings of the 21st International Conference on Information Fusion, FUSION 2018, pages 1345-1352, United States, 9 2018. Institute of Electrical and Electronics Engineers.

97. Filip Tronarp, Toni Karvonen, and Simo Särkkä. Mixture representation of the matérn class with applications in state space approximations and Bayesian quadrature. In Nelly Pustelnik, Zheng-Hua Tan, Zhanyu Ma, and Jan Larsen, editors, Proceedings of the 2018 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2018, volume 2018-September of IEEE International Workshop on Machine Learning for Signal Processing. IEEE Computer Society Press, 10 2018.

98. Filip Tronarp, Toni Karvonen, and Simo Särkkä. Student's t-Filters for Noise Scale Estimation. IEEE Signal Processing Letters, 26(2), 1 2019.

99. Filip Tronarp, Narayan Puthanmadam Subramaniyam, Simo Särkkä, and Lauri Parkkonen. Tracking of dynamic functional connectivity from MEG data with Kalman filtering. In Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, volume 2018-July of Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pages 1003-1006, United States, 10 2018. Institute of Electrical and Electronics Engineers.

100. Filip Tronarp and Simo Särkkä. Non-Linear Continuous-Discrete Smoothing by Basis Function Expansions of Brownian Motion. In Proceedings of the 21st International Conference on Information Fusion, FUSION 2018, pages 1114-1121, United States, 9 2018. Institute of Electrical and Electronics Engineers.

101. Filip Tronarp and Simo Särkkä. Iterative statistical linear regression for Gaussian smoothing in continuous-time non-linear stochastic dynamic systems. Signal Processing, 159:1-12, 6 2019.

102. Maria Uther, Anna-Riikka Smolander, Katja Junttila, Mikko Kurimo, Reima Karhila, Seppo Enarvi, and Sari Ylinen. User Experiences from L2 Children Using a Speech Learning Application: Implications for Developing Speech Training Applications for Children. Advances in Human Computer Interaction, 2018.

103. Matti Varjokallio, Sami Virpioja, and Mikko Kurimo. First-Pass Techniques for Very Large Vocabulary Speech Recognition of Morphologically Rich Languages. In 2018 IEEE Spoken Language Technology Workshop, December 18-21, 2018, Athens, Greece, pages 227-234. IEEE, 2018.

104. Tommi Vatanen, Eric A. Franzosa, Randall Schwager, Surya Tripathi, Timothy D. Arthur, Kendra Vehik, ke Lernmark, William A. Hagopian, Marian J. Rewers, Jin Xiong She, Jorma Toppari, Anette G. Ziegler, Beena Akolkar, Jeffrey P. Krischer, Christopher J. Stewart, Nadim J. Ajami, Joseph F. Petrosino, Dirk Gevers, Harri Lähdesmäki, Hera Vlamakis, Curtis Huttenhower, and Ramnik J. Xavier. The human gut microbiome in early-onset type 1 diabetes from the TEDDY study. Nature, 562(7728):589-594, 10 2018.

105. Tommi Vatanen, Damian R. Plichta, Juhi Somani, Philipp C. Münch, Timothy D. Arthur, Andrew Brantley Hall, Sabine Rudolf, Edward J. Oakeley, Xiaobo Ke, Rachel A. Young, Henry J. Haiser, Raivo Kolde, Moran Yassour, Kristiina Luopajärvi, Heli Siljander, Suvi M. Virtanen, Jorma Ilonen, Raivo Uibo, Vallo Tillmann, Sergei Mokurov, Natalya Dorshakova, Jeffrey A. Porter, Alice C. McHardy, Harri Lähdesmäki, Hera Vlamakis, Curtis Huttenhower, Mikael Knip, and Ramnik J. Xavier. Genomic variation and strain-specific functional adaptation in the human gut microbiome during early life. Nature Reviews Microbiology, 12 2018.

106. Sebastian Weber, Andrew Gelman, Daniel Lee, Michael Betancourt, Aki Vehtari, and Amy Racine-Poon. Bayesian aggregation of average data: An application in drug development. Annals of Applied Statistics, 12(3):1583-1604, 9 2018.

107. Zhicun Xu, Peter Smit, and Mikko Kurimo. The Aalto system based on fine-tuned AudioSet features for DCASE2018 task2 - general purpose audio tagging. In Proceedings of the Detection and Classification of Acoustic Scenes and Events 2018 Workshop (DCASE2018), pages 24-28. Tampere University of Technology, 11 2018.

108. Yuling Yao, Aki Vehtari, Daniel Simpson, and Andrew Gelman. Using Stacking to Average Bayesian Predictive Distributions (with Discussion). Bayesian Analysis, 13(3):917-1003, 9 2018.

109. Yuling Yao, Aki Vehtari, Daniel Simpson, and Andrew Gelman. Yes, but did it work?: Evaluating variational inference. In Jennifer Dy and Andreas Krause, editors, 35th International Conference on Machine Learning, ICML 2018, volume 12 of Proceedings of Machine Learning Research, pages 8887-8895. International Machine Learning Society (IMLS), 1 2018.

110. Cagatay Yildiz, Markus Heinonen, and Harri Lähdesmäki. A Nonparametric Spatio-temporal SDE Model. In NIPS 2018 Spatiotemporal Workshop, pages 1-5. Neural Information Processing Systems Foundation, 2018.

111. Markus Ylimäki, Juho Kannala, and Janne Heikkilä. Accurate 3-D Reconstruction with RGB-D Cameras using Depth Map Fusion and Pose Refinement. In 2018 24th International Conference on Pattern Recognition, ICPR 2018, International Conference on Pattern Recognition, pages 1977-1982. IEEE, 11 2018.

112. Ayman Zeidan, Eemil Lagerspetz, Kai Zhao, Petteri Tapio Nurmi, Sasu Arimo Olavi Tarkoma, and Huy Vo. GeoMatch: Efficient Large-Scale Map Matching on Apache Spark. In Proceedings of the 2018 IEEE International Conference on Big Data, International, 2018. IEEE.

113. Pengyuan Zhou, Ahmad Alhilal, Tristan Braud, Pan Hui, and Jussi Kangasharju. ERL: Edge Based Reinforcement Learning for Optimized Urban Traffic Light Control. In The 2019 IEEE PerCom workshop on Smart Edge Computing and Networking (SmartEdge'19), 3 2019.

114. Pengyuan Zhou, Wenxiao Zhang, Tristan Braud, Pan Hui, and Jussi Kangasharju. Enhanced Augmented Reality Applications in Vehicle-to-Edge Networks. In 22nd Conference on Innovation in Clouds, Internet and Networks (ICIN 2019), 2 2019.

PUBLICATIONS 1.5.–31.10.2018

1. Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, and Nasir Rajpoot. Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection. In Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Proceedings, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 69–77, Germany, 1 2018. Springer Verlag.

2. Fritz Alder, Arseny Kurnikov, Andrew Paverd, and N. Asokan. Migrating SGX Enclaves with Persistent State. In 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 195–206. IEEE, 7 2018.

3. Rola Alhalaseh, Myriam Douce Munezero, Miika Leinonen, Leo Juhani Leppänen, Jari Eino Olavi Avikainen, and Hannu Toivonen. Towards Data-Driven Generation of Visualizations for Automatically Generated News Articles. In Proceedings of the 22nd International Academic Mindtrek Conference, 100–109, United States, 10 2018. ACM, Association for Computing Machinery.

4. Khalid Alnajjar, Hadaytullah Kundi, and Hannu Toivonen. "Talent, Skill and Support.": A Method for Automatic Creation of Slogans. In Franois Pachet, Anna Jordanous, and Carlos León, editors, Proceedings of the Ninth International Conference on Computational Creativity, 88–95, United Kingdom, 6 2018. Association for Computational Creativity.

5. Salvatore Andolina, Khalil Klouche, Tuukka Ruotsalo, Patrik Floréen, and Giulio Jacucci. Querytogether: Enabling entity-centric exploration in multi-device collaborative search. Information Processing & Management, 54(6): 1182–1202, 11 2018.

6. Salvatore Andolina, Valeria Orso, Hendrik Schneider, Khalil Klouche, Tuukka Ruotsalo, Luciano Gamberini, and Giulio Jacucci. Investigating Proactive Search Support in Conversations. In DIS '18, 1295–1307, International, 6 2018. ACM.

7. Rao Muhammad Anwer, Fahad Shahbaz Khan, and Jorma Laaksonen. Two-stream part-based deep representation for human attribute recognition. In Proceedings - 2018 International Conference on Biometrics, ICB 2018, 90–97, United States, 7 2018. Institute of Electrical and Electronics Engineers Inc.

8. N. Asokan, Thomas Nyman, Norrathep Rattanavipanon, Ahmad-Reza Sadeghi, and Gene Tsudik. ASSURED: Architecture for Secure Software Update of Realistic Embedded Devices. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 37(11): 2290–2300, 11 2018.

9. Amin Babadi, Kourosh Naderi, and Perttu Hämäläinen. Intelligent Middle-Level Game Control. In Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games (CIG’18), 25–32. IEEE, 8 2018.

10. Xiaojun Bi, Andrew Howes, Per Ola Kristensson, Antti Oulasvirta, and John Williamson. Introduction, 1–13. Oxford University Press, United Kingdom, 3 2018.

11. Kenneth Blomqvist, Samuel Kaski, and Markus Heinonen. Deep convolutional Gaussian process. 10, 2018.

12. Marianna Capecci, Maria Gabriella Ceravolo, Francesco Ferracuti, Sabrina Iarlori, Ville Kyrki, Andrea Monteri`u, Luca Romeo, and Federica Verdini. A Hidden Semi-Markov Model based approach for rehabilitation exercise assessment. Journal of Biomedical Informatics, 78: 1–11, 2 2018.

13. Dimitris Chatzopoulos, Mahdieh Ahmadi, Sokol Kosta, and Pan Hui. FlopCoin: A Cryptocurrency for Computation Offloading. IEEE Transactions on Mobile Computing, 17(5): 1062–1075, 5 2018.

14. Jukka Ilmari Corander, Antti Juhani Hyttinen, Juha Aleksi Kontinen, Johan Erik Odert Pensar, and Jouko Antero Väänänen. A Logical Approach to Context-Specific Independence. Annals of Pure and Applied Logic, 2018.

15. Santiago Cortés Reina, Arno Solin, and Juho Kannala. Robust Gyroscope-Aided Camera Self-Calibration. In 2018 21st International Conference on Information Fusion, FUSION 2018, 772–779, United States, 9 2018. Institute of Electrical and Electronics Engineers Inc.

16. Vivek Dhakal, Anna Maria Feit, Per Ola Kristensson, and Antti Oulasvirta. Observations on typing from 136 million keystrokes. In CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 4 2018.

17. Huber Flores, Pan Hui, Petteri Nurmi, Eemil Lagerspetz, Sasu Tarkoma, Jukka Manner, Vassilis Kostakos, Yong Li, and Xiang Su. Evidence-Aware Mobile Computational Offloading. IEEE Transactions on Mobile Computing, 17(8): 1834–1850, 8 2018.

18. Huber Flores, Pan Hui, Sasu Tarkoma, Yong Li, Theodoros Anagnostopoulos, Vassilis Kostakos, Chu Luo, and Xiang Su. SensorClone: A Framework for Harnessing Smart Devices with Virtual Sensors. In MMSys '18: Proceedings of the 9th ACM Multimedia Systems Conference, 328–338, United States, 6 2018. ACM.

19. Angel F. Garcia-Fernandez, Lennart Svensson, and Simo Sarkka. Cooperative localization using posterior linearization belief propagation. IEEE Transactions on Vehicular Technology, 67(1): 832–836, 2018.

20. Qingyuan Gong, Yang Chen, Xiaolong Yu, Chao Xu, Zhichun Guo, Yu Xiao, Fehmi Ben Abdesslem, Xin Wang, and Pan Hui. Exploring the power of social hub services. World Wide Web - Internet and Web Information Systems, 1 2018.

21. Ibbad Hafeez, Yi Ding, Markku Veli Johannes Antikainen, and Sasu Arimo Olavi Tarkoma. Real-time IoT Device Activity Detection in Edge Networks. In 12th International Conference on Network and System Security, Singapore, 8 2018. Springer (LNCS).

22. Tesfamichael Hagos, Markku Suomalainen, and Ville Kyrki. Segmenting and Sequencing of Compliant Motions. In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, United States, 6 2018. Institute of Electrical and Electronics Engineers Inc.

23. Ville Johannes Harjunen, Michiel Spapé, Imtiaj Ahmed, Giulio Jacucci, and Niklas Ravaja. Persuaded by the machine: The effect of virtual nonverbal cues and individual differences on compliance in economic bargaining. Computers in Human Behavior, 87: 384–394, 10 2018.

24. Murtaza Hazara and Ville Kyrki. Speeding Up Incremental Learning Using Data Efficient Guided Exploration. In Proceedings of the 2018 IEEE International Conference on Robotics and Automation, ICRA 2018, IEEE International Conference on Robotics and Automation, United States, 5 2018. Institute of Electrical and Electronics Engineers Inc.

25. Pashupati Hegde, Markus Heinonen, and Samuel Kaski. Variational zero-inflated Gaussian processes with sparse kernels. In Uncertainty in Artificial Intelligence, 2018.

26. Pashupati Hegde, Markus Heinonen, Harri Lähdesmäki, and Samuel Kaski. Deep learning with differential Gaussian process flows. 1–15, 11 2018.

27. Soheil Sadat Hosseini, Mohsin M. Jamali, and Simo Särkkä. Variational Bayesian adaptation of noise covariances in multiple target tracking problems. Measurement, 122: 14–19, 7 2018.

28. Roland Hostettler, Tuomas Lumikari, Lauri Palva, Tuomo Nieminen, and Simo Särkkä. Motion Artifact Reduction in Ambulatory Electrocardiography Using Inertial Measurement Units and Kalman Filtering. In Proceedings of the 21st International Conference on Information Fusion, FUSION 2018, 780–787, United States, 9 2018. Institute of Electrical and Electronics Engineers Inc.

29. Roland Hostettler and Simo Särkkä. Rao-Blackwellized Gaussian Smoothing. IEEE Transactions on Automatic Control, 4 2018.

30. Yi Ta Hsieh, Valeria Orso, Salvatore Andolina, Manuela Canaveras, Diogo Cabral, Anna Spagnolli, Luciano Gamberini, and Giulio Jacucci. Interweaving visual and audio-haptic augmented reality for urban exploration. In DIS 2018 - Proceedings of the 2018 Designing Interactive Systems Conference, 215–226. Association for Computing Machinery, Inc, 6 2018.

31. Antti Hyttinen, Johan Pensar, Juha Kontinen, and Jukka Corander. Structure Learning for Bayesian Networks over Labeled DAGs. In Proceedings of the Ninth International Conference on Probabilistic Graphical Models, volume 72 of Proceedings of Machine Learning Research, 133–144, 2018. PMLR.

32. Giulio Jacucci, Oswald Barral, Pedram Daee, Markus Wenzel, Baris Serim, Tuukka Ruotsalo, Patrik Pluchino, Jonathan Freeman, Luciano Gamberini, Samuel Kaski, and Benjamin Blankertz. Integrating Neurophysiological Relevance Feedback in Intent Modeling for Information Retrieval. Journal of the Association for Information Science and Technology, 10 2018.

33. Emmi Jokinen, Markus Heinonen, and Harri Lähdesmäki. MGPfusion: Predicting protein stability changes with Gaussian process kernel learning and data fusion. Bioinformatics, 34 (13): i274–i283, 7 2018.

34. Mika Juuti, Bo Sun, Tatsuya Mori, and N. Asokan. Stay On-Topic: Generating Context-specific Fake Restaurant Reviews. In Computer Security - 23rd European Symposium on Research in Computer Security, ESORICS 2018, Proceedings, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 132–151. Springer, 2018.

35. Marko Järvenpää, Michael Gutmann, Arijus Pleska, Aki Vehtari, and Pekka Marttinen. Efficient acquisition rules for model-based approximate Bayesian computation. Bayesian Analysis, 9 2018.

36. Marko Järvenpää, Michael Gutmann, Aki Vehtari, and Pekka Marttinen. Gaussian process modeling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria. Annals of Applied Statistics, 2 2018.

37. Elias Benjamin Jääsaari, Janne Lauri Antero Leppä-Aho, Tomi Silander, and Teemu Teppo Roos. Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets, volume 83 of Proceedings of Machine Learning Research, 470–488. PMLR, 2018.

38. Antti Kangasrääsiö and Samuel Kaski. Inverse reinforcement learning from summary data. Machine Learning, 1–19, 6 2018.

39. Toni Karvonen and Simo Särkkä. Fully symmetric kernel quadrature. SIAM Journal on Scientific Computing, 40(2): A697–A720, 2018.

40. Sunjun Kim, Byungjoo Lee, and Antti Oulasvirta. Impact Activation Improves Rapid Button Pressing. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, CHI '18

41. Khalil Klouche, Tuukka Ruotsalo, and Giulio Jacucci. From hyperlinks to hypercues: Entity-based affordances for fluid information exploration. In DIS 2018 - Proceedings of the 2018 Designing Interactive Systems Conference, 401–412. Association for Computing Machinery, Inc, 6 2018.

42. Janin Koch, Magda Laszlo, Andres Lucero, and Antti Oulasvirta. Surfing for Inspiration: digital inspirational material in design practice. In Cristiano Storni, Keelin Leahy, Muireann McMahon, Peter Lloyd, and Erik Bohemia, editors, Proceedings of DRS 2018, volume 3 of DRS International Conference Series, 1247–1260. Design Research Society, 2018.

43. Ilkka Kosunen, Jussi Palomäki, Michael Laakasuo, Kai Kuikkaniemi, Niklas Ravaja, and Giulio Jacucci. Heart-rate sonification biofeedback for poker. International Journal of Human-Computer Studies, 120: 14–21, 12 2018.

44. Klaudia Krawiecka, Arseny Kurnikov, Andrew Paverd, Mohmmad Mannan, and N. Asokan. SafeKeeper: Protecting Web Passwords using Trusted Execution Environments. In WWW '18 : Proceedings of the 2018 World Wide Web Conference, 349–358. ACM, 4 2018.

45. Arseny Kurnikov, Klaudia Krawiecka, Andrew Paverd, Mohmmad Mannan, and N. Asokan. Using SafeKeeper to Protect Web Passwords. In Companion Proceedings of the The Web Conference 2018, 159–162. ACM, 4 2018.

46. Eemil Lagerspetz, Huber Raul Flores Macario, Niko Kristian Mäkitalo, Pan Hui, Petteri Nurmi, Sasu Arimo Olavi Tarkoma, Andrea Passarella, Jorg Ott, Peter Reichl, Marco Conti, Markus Fiedler, Jatinder Singh, Thorsten Strufe, Tobias Hossfeld, Anders Lindgren, and Daniele Quercia. Pervasive Communities in the Internet of People. In Combined PerCom 2018 Workshop Proceedings, International, 2018. IEEE.

47. Byungjoo Lee, Sunjun Kim, Antti Oulasvirta, Jong-In Lee, and Eunji Park. Moving Target Selection: A Cue Integration Model. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, CHI '18.

48. Lik-Hang Lee and Pan Hui. Interaction Methods for Smart Glasses: A Survey. IEEE Access, 6: 28712–28732, 5 2018.

49. Janne Lauri Antero Leppä-Aho, Jaakko Santeri Räisänen, Xiao Yang, and Teemu Teppo Roos. Learning Non-parametric Markov Networks with Mutual Information, volume 72 of Proceedings of Machine Learning Research, 213–224. PMLR, 2018.

50. Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn, Kai Puolamäki, Emilia Oikarinen, and Tijl De Bie. Subjectively Interesting Subgroup Discovery on Real-valued Targets. In Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE 2018). IEEE, 2018.

51. Jarno Lintusaari, Henri Vuollekoski, Antti Kangasrääsiö, Kusti Skytén, Marko Järvenpää, Pekka Marttinen, Michael U. Gutmann, Aki Vehtari, Jukka Corander, and Samuel Kaski. ELFI: Engine for likelihood-free inference. Journal of Machine Learning Research, 19: 1–7, 8 2018.

52. Jian Liu, Wenting Li, G. Karame, and N. Asokan. Scalable Byzantine Consensus via Hardware-assisted Secret Sharing. IEEE Transactions on Computers, 7 2018.

53. Jian Liu, Wenting Li, Ghassan O. Karame, and N. Asokan. Toward Fairness of Cryptocurrency Payments. IEEE Security and Privacy, 16(3): 81–89, 5 2018.

54. R. J. Lund, M. Osmala, M. Malonzo, M. Lukkarinen, A. Leino, J. Salmi, S. Vuorikoski, R. Turunen, T. Vuorinen, C. Akdis, H. Lähdesmäki, Riitta Lahesmaa, and T. Jartti. Atopic asthma after rhinovirus-induced wheezing is associated with DNA methylation change in the SMAD3 gene promoter. Allergy, 73(8): 1735–1740, 5 2018.

55. Jens Lundell, Francesco Verdoja, and Ville Kyrki. Hallucinating robots: Inferring Obstacle Distances from Partial Laser Measurements. In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 4781–4787, United States, 10 2018. Institute of Electrical and Electronics Engineers Inc.

56. Magnus Melin, Asta Bäck, Caj Södergrd, Myriam Douce Munezero, Leo Juhani Leppänen, and Hannu Toivonen. No landslide for the human journalist: An empirical study of computer-generated election news in Finland. IEEE Access, 6: 43356–43367, 8 2018.

57. Imran Mohammad, Kari Nousiainen, Santosh D. Bhosale, Inna Starskaia, Robert Moulder, Anne Rokka, Fang Cheng, Ponnuswamy Mohanasundaram, John E. Eriksson, David R. Goodlett, Harri Lähdesmäki, and Zhi Chen. Quantitative proteomic characterization and comparison of T helper 17 and induced regulatory T cells. PLOS Biology, 16(5), 5 2018.

58. Lirim Osmani, Salman Toor, Miika Komu, Matti J. Kortelainen, Tomas Linden, John White, Rasib Khan, Paula Eerola, and Sasu Tarkoma. Secure Cloud Connectivity for Scientific Applications. IEEE Transactions on Services Computing, 11(4): 658–670, 7 2018.

59. Antti Oulasvirta and Andreas Karrenbauer. Combinatorial optimization for user interface design, 97–119. Oxford University Press, United Kingdom, 3 2018.

60. Antti Oulasvirta, Sunjun Kim, and Byungjoo Lee. Neuromechanics of a Button Press. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, CHI '18

61. Antti Oulasvirta, Per Ola Kristensson, Xiaojun Bi, and Andrew Howes. Computational interaction. Oxford University Press, United Kingdom, 3 2018.

62. Seonwook Park, Christoph Gebhardt, Roman Rädle, Anna Maria Feit, Hana Vrzakova, Niraj Ramesh Dayama, Hui-Shyong Yeo, Clemens N Klokmose, Aaron Quigley, and Antti Oulasvirta. AdaM: Adapting Multi-User Interfaces for Collaborative Environments in Real-Time. In ACM SIGCHI annual conference on human factors in computing systems, 184. Association for Computing Machinery, 4 2018.

63. Tomi Peltola, Mustafa Celikok, Pedram Daee, and Samuel Kaski. Modelling User's Theory of AI's Mind in Interactive Intelligent Systems. Submitted, 2018.

64. Tomi Peltola, Jussi Jokinen, and Samuel Kaski. Probabilistic Formulation of the Take The Best Heuristic. In CogSci 2018 Proceedings, 2214–2219. Cognitive Science Society, 2018.

65. J Pensar, J Kohonen, and Jukka Ilmari Corander. Exact Bayesian learning of Partition Directed Acyclic Graphs. Journal of Physics: Conference Series, 1036, 7 2018.

66. Alberto Pessia and Jukka Corander. Kpax3: Bayesian bi-clustering of large sequence datasets. Bioinformatics, 34(12): 2132–2133, 6 2018.

67. Juho Piironen, Markus Paasiniemi, and Aki Vehtari. Projective Inference in High-dimensional Problems: Prediction and Feature Selection. Submitted, 2018.

68. Matteo Pozza, Ashwin Rao, Hannu Flinck, and Sasu Tarkoma. Network-In-a-Box: A Survey about On-Demand Flexible Networks. Communications Surveys & Tutorials, 20(3): 2407–2428, 2 2018.

69. Kai Puolamäki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, and Tijl De Bie. Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach. In Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE 2018). IEEE, 2018.

70. Santeri Puranen, Maiju Pesonen, Johan Pensar, Ying Ying Xu, John A. Lees, Stephen D. Bentley, Nicholas J. Croucher, and Jukka Corander. SuperDCA for genome-wide epistasis analysis. Microbial Genomics, 4(6), 6 2018.

71. Mattia Racca and Ville Kyrki. Active Robot Learning for Temporal Task Models. In Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, HRI'18, volume Part F135041 of ACM/IEEE International Conference on Human-Robot Interaction, 123–131. The Association for Computing Machinery, 2018.

72. Mattia Racca and Ville Kyrki. Challenges of Transparency for Learning Robots. 2018. Explainable Robotic Systems Workshop, ACM/IEEE International Conference on Human Robot Interaction, HRI ’18, March 5th, 2018, Chicago, IL, USA; ACM/IEEE International Conference on Human Robot Interaction.

73. Joose Julius Rajamaki and Perttu Hamalainen. Continuous Control Monte Carlo Tree Search Informed by Multiple Experts. IEEE Transactions on Visualization and Computer Graphics, 6 2018.

74. Joose Rajamäki and Perttu Hämäläinen. Regularizing Sampled Differential Dynamic Programming. In 2018 Annual American Control Conference, ACC 2018, volume 2018-June, 2182–2189, United States, 8 2018. Institute of Electrical and Electronics Engineers Inc.

75. J. Rantonen, J. Karppinen, A. Vehtari, S. Luoto, E. Viikari-Juntura, M. Hupli, A. Malmivaara, and S. Taimela. Effectiveness of three interventions for secondary prevention of low back pain in the occupational health setting - A randomised controlled trial with a natural course control. BMC Public Health, 18(1), 5 2018.

76. Hamed Rezazadegan Tavakoli, Ali Borji, Rao Anwer, Esa Rahtu, and Juho Kannala. Bottom-Up Attention Guidance for Recurrent Image Recognition. In IEEE International Conference on Image Processing. IEEE, 2018.

77. Emily J. Richardson, Rodrigo Bacigalupe, Ewan M. Harrison, Lucy A. Weinert, Samantha Lycett, Manouk Vrieling, Kirsty Robb, Paul A. Hoskisson, Matthew T. G. Holden, Edward J. Feil, Gavin K. Paterson, Steven Y. C. Tong, Adebayo Shittu, Willem van Wamel, David M. Aanensen, Julian Parkhill, Sharon J. Peacock, Jukka Corander, Mark Holmes, and J. Ross Fitzgerald. Gene exchange drives the ecological success of a multi-host bacterial pathogen. Nature Ecology & Evolution, 2(9): 1468–1478, 9 2018.

78. Lassi Roininen, Sari Lasanen, Mikko Orispää, and Simo Särkkä. Sparse Approximations of Fractional Matérn Fields. Scandinavian Journal of Statistics, 1 2018.

79. Shaghayegh Roohi, Jari Takatalo, Christian Guckelsberger, and Perttu Hämäläinen. Review of intrinsic motivation in simulation-based game testing. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 4 2018.

80. Kavous Salehzadeh Niksirat, Sayan Sarcar, Huatong Sun, Effie LC Law, Torkil Clemmensen, Jeffrey Bardzell, Antti Oulasvirta, Chaklam Silpasuwanchai, Ann Light, and Xiangshi Ren. Approaching Engagement towards Human-Engaged Computing. 4 2018. ACM SIGCHI Annual Conference on Human Factors in Computing Systems.

81. Mikko Salminen, Simo Järvelä, Antti Ruonala, Janne Timonen, Kristiina Mannermaa, Niklas Ravaja, and Giulio Jacucci. Bio-adaptive Social VR to Evoke Affective Interdependence - DYNECOM. In 23rd International Conference on Intelligent User Interfaces, 73–77. ACM, 3 2018.

82. Sayan Sarcar, Jussi P.P. Jokinen, Antti Oulasvirta, Zhenxin Wang, Chaklam Silpasuwanchai, and Xiangshi Ren. Ability-based optimization of touchscreen interactions. IEEE Pervasive Computing, 17(1): 15–26, 1 2018.

83. Sayan Sarcar, Cosmin Munteanu, Jussi Jokinen, Antti Oulasvirta, Neil Charness, Mark Dunlop, and Xiangshi Ren. Designing interactions for the ageing populations. 4 2018. ACM SIGCHI Annual Conference on Human Factors in Computing Systems.

84. Simo Sarkka, Mauricio A. Alvarez, and Neil D. Lawrence. Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems. IEEE Transactions on Automatic Control, 1 2018.

85. Angelika Schmidt, Francesco Marabita, Narsis A. Kiani, Catharina C. Gross, Henrik J. Johansson, Szabolcs Éliás, Sini Rautio, Matilda Eriksson, Sunjay Jude Fernandes, Gilad Silberberg, Ubaid Ullah, Urvashi Bhatia, Harri Lähdesmäki, Janne Lehtiö, David Gomez-Cabrero, Heinz Wiendl, Riitta Lahesmaa, and Jesper Tegnér. Time-resolved transcriptome and proteome landscape of human regulatory T cell (Treg) differentiation reveals novel regulators of FOXP3. BMC Biology, 16(1): 1–35, 5 2018.

86. Baris Serim, Ken Pfeuffer, Hans Gellersen, and Giulio Jacucci. Visual Attention-Based Access: Granting Access Based on Users' Joint Attention on Shared Workspaces. Proceedings of ACM on interactive, mobile, wearable and ubiquitous technologies, 2(3), 9 2018.

87. Shikha Sharma, Markku Suomalainen, and Ville Kyrki. Compliant Manipulation of Free-Floating Objects. In Proceedings of the 2018 IEEE International Conference on Robotics and Automation, ICRA 2018, IEEE International Conference on Robotics and Automation, 865–872, United States, 5 2018. Institute of Electrical and Electronics Engineers Inc.

88. Zheyang Shen, Markus Heinonen, and Samuel Kaski. Harmonizable mixture kernels with variational Fourier features. 10 2018.

89. Seppo Sierla, Ville Kyrki, Pekka Aarnio, and Valeriy Vyatkin. Automatic assembly planning based on digital product descriptions. Computers in Industry, 97: 34–46, 5 2018.

90. Eero Siivola, Aki Vehtari, Javier Gonzalez, Jarno Petteri Vanhatalo, and Michael Andersen. Correcting Boundary Over-Exploration Deficiencies In Bayesian Optimization With Virtual Derivative Sign Observations. In IEEE 28th International Workshop on Machine Learning for Signal Processing, volume 28, 2018.

91. Tomi Silander, Janne Lauri Antero Leppä-Aho, Elias Benjamin Jääsaari, and Teemu Teppo Roos. Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures. volume 84 of Proceedings of Machine Learning Research, 948–957. PMLR, United States, 2018.

92. Aleksi Sipola, Pekka Marttinen, and Jukka Corander. Bacmeta: simulator for genomic evolution in bacterial metapopulations. Bioinformatics, 34(13): 2308–2310, 7 2018.

93. Annemieke Smet, Koji Yahara, Mirko Rossi, Alfred Tay, Steffen Backert, Ensser Armin, James G. Fox, Bram Flahou, Richard Ducatelle, Freddy Haesebrouck, and Jukka Corander. Macroevolution of gastric Helicobacter species unveils interspecies admixture and time of divergence. ISME Journal, 12(10): 2518–2531, 6 2018.

94. Peter Smit, Siva Gangireddy, Seppo Enarvi, Sami Virpioja, and Mikko Kurimo. Character-based units for Unlimited Vocabulary Continuous Speech Recognition. In Automatic Speech Recognition and Understanding (ASRU), IEEE Workshop on, 149–154. IEEE, 2018.

95. Peter Smit, Siva Gangireddy, Seppo Enarvi, Sami Virpioja, and Mikko Kurimo. Aalto system for the 2017 Arabic multi-genre broadcast challenge. In Automatic Speech Recognition and Understanding (ASRU), IEEE Workshop on, 338–345. IEEE, 2018.

96. Arno Solin, Santiago Cortés Reina, Esa Rahtu, and Juho Kannala. PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation. In 2018 IEEE Winter Conference on Applications of Computer Vision (WACV 2018), IEEE Winter Conference on Applications of Computer Vision, 616–625. IEEE, 2018.

97. Arno Solin, Manon Kok, Niklas Wahlstrom, Thomas B. Schon, and Simo Sarkka. Modeling and Interpolation of the Ambient Magnetic Field by Gaussian Processes. IEEE Transactions on Robotics, 6 2018.

98. Jeff Sperinde, Weidong Huang, Aki Vehtari, Ahmed Chenna, Pirkko Liisa Kellokumpu-Lehtinen, John Winslow, Petri Bono, Yolanda S. Lie, Christos J. Petropoulos, Jodi Weidler, and Heikki Joensuu. P95HER2 methionine 611 carboxy-terminal fragment is predictive of trastuzumab adjuvant treatment benefit in the fin her trial. Clinical Cancer Research, 24(13): 3046–3052, 7 2018.

99. Iiris Sundin, Tomi Peltola, Luana Micallef, Homayun Afrabandpey, Marta Soare, Muntasir Mamun Majumder, Pedram Daee, Chen He, Baris Serim, Aki Havulinna, Caroline Heckman, Giulio Jacucci, Pekka Marttinen, and Samuel Kaski. Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge. Bioinformatics, 34(13): 395–403, 7 2018.

100. Markku Suomalainen, Janne Koivumäki, Santeri Lampinen, Ville Kyrki, and Jouni Mattila. Learning from demonstration for hydraulic manipulators. In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, United States, 6 2018. Institute of Electrical and Electronics Engineers Inc.

101. Kashyap Todi, Jussi Jokinen, Kris Luyten, and Antti Oulasvirta. Familiarisation: Restructuring layouts with visual learning models. In IUI 2018 - Proceedings of the 23rd International Conference on Intelligent User Interfaces, volume Part F135193, 547–558. Association for Computing Machinery, 3 2018.

102. Janetta Top, Jan C. Sinnige, Ellen C. Brouwer, Guido Werner, Jukka Corander, Juliette A. Severin, Rogier Jansen, E. Bathoorn, Marc J. M. Bonten, John W. A. Rossen, and Rob J. L. Willems. Identification of a Novel Genomic Island Associated with vanD-Type Vancomycin Resistance in Six Dutch Vancomycin-Resistant Enterococcus faecium Isolates. Antimicrobial Agents and Chemotherapy, 62(3), 3 2018.

103. Hande Topa and Antti Honkela. GPrank: An R package for detecting dynamic elements from genome-wide time series. BMC Bioinformatics, 19(1): 1–6, 10 2018.

104. Filip Tronarp, Angel Garcia Fernandez, and Simo Särkkä. Iterative Filtering and Smoothing In Non-Linear and Non-Gaussian Systems Using Conditional Moments. IEEE Signal Processing Letters, 25(3): 408–412, 1 2018.

105. M. Viviani, J. Warnecke, M. J. Käpylä, P. J. Käpylä, N. Olspert, E. M. Cole-Kodikara, J. J. Lehtinen, and A. Brandenburg. Transition from axi- to nonaxisymmetric dynamo modes in spherical convection models of solar-like stars. Astronomy & Astrophysics, 616, 8 2018.

106. John Williamson, Antti Oulasvirta, Otmar Hilliges, and Per Ola Kristensson. Computational Interaction: Theory and Practice. 4 2018. ACM SIGCHI Annual Conference on Human Factors in Computing Systems.

107. Dianlei Xu, Yong Li, Xinlei Chen, Jianbo Li, Pan Hui, Sheng Chen, and Jon Crowcroft. A Survey of Opportunistic Offloading. Communications Surveys & Tutorials, 20(3): 2198–2236, 2 2018.

108. Yingying Xu, Santeri Puranen, Jukka Corander, and Yoshiyuki Kabashima. Inverse finite-size scaling for high-dimensional significance analysis. Physical Review E, 97(6): 1–9, 6 2018.

109. Cagatay Yildiz, Markus Heinonen, Jukka Intosalmi, Henrik Mannerström, and Harri Lähdesmäki. Learning Stochastic Differential Equations With Gaussian Processes Without Gradient Matching. In IEEE International Workshop on Machine Learning for Signal Processing. IEEE, 2018.

110. Zheng Zhao, Simo Särkkä, and Ali Bahrami Rad. Spectro-Temporal ECG Analysis for Atrial Fibrillation Detection. In 2018 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2018, IEEE International Workshop on Machine Learning for Signal Processing, United States, 2018. Institute of Electrical and Electronics Engineers Inc.

111. Pengyuan Zhou, Wenxiao Zhang, Tristan Braud, Pan Hui, and Jussi Kangasharju. ARVE: Augmented Reality Applications in Vehicle to Edge Networks. In MECOMM '18 Proceedings of the Workshop on Mobile Edge Communications: Co-located with ACM SIGCOMM 2018, 25–30, 8 2018.

112. Tarmo Äijö, Richard Bonneau, and Harri Lähdesmäki. Generative models for quantification of DNA modifications, 37–50. Methods in Molecular Biology. Humana Press Inc, 1 2018.

FCAI PUBLICATIONS 1.1.–30.4.2018

1. Lauri Ahonen, Benjamin Ultan Cowley, Arto Hellas, and Kai Puolamäki. Biosignals reflect pair-dynamics in collaborative work: EDA and ECG study of pair-programming in a classroom environment. Scientific Reports, 8(1), 2018.

2. Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Matthieu Molinier, and Jorma Laaksonen. Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification. ISPRS Journal of Photogrammetry and Remote Sensing, 138: 74–85, 2018.

3. Brian J. Arnold, Michael U. Gutmann, Yonatan H. Grad, Samuel K. Sheppard, Jukka Corander, Marc Lipsitch, and William P. Hanage. Weak Epistasis May Drive Adaptation in Recombining Bacteria. Genetics, 208(3): 1247–1260, 2018.

4. Oswald Barral, Ilkka Kosunen, and Giulio Jacucci. No Need to Laugh Out Loud: Predicting Humor Appraisal of Comic Strips Based on Physiological Signals in a Realistic Environment. ACM Transactions on Computer - Human Interaction, 24(6), 2018.

5. Pedram Daee, Tomi Peltola, Aki Vehtari, and Samuel Kaski. User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction. Association for Computing Machinery (ACM), 305–310, 2018.

6. Bram Flahou, Mirko Rossi, Jaco Bakker, Jan A. M. Langermans, Edwin Heuvelman, Jay V. Solnick, Miriam E. Martin, Jani O'Rourke, Le Duc Ngoan, Nguyen Xuan Hoa, Masahiko Nakamura, Anders Overby, Hidenori Matsui, Hiroyoshi Ota, Takehisa Matsumoto, Dennis L. Foss, Laurice A. Kopta, Oladipo Omotosho, Maria Pia Franciosini, Patrizia Casagrande Proietti, Aizhen Guo, Han Liu, Gabriela Borilova, Ana Paula Bracarense, Sara K. Linden, Sofie De Bruyckere, Guangzhi Zhang, Chloe De Witte, Annemieke Smet, Frank Pasmans, Richard Ducatelle, Jukka Corander, and Freddy Haesebrouck. Evidence for a primate origin of zoonotic Helicobacter suis colonizing domesticated pigs. ISME Journal, 12(1): 77–86, 2018.

7. Michael U. Gutmann, Ritabrata Dutta, Samuel Kaski, and Jukka Corander. Likelihood-free inference via classification. Statistics and Computing, 28(2): 411–425, 2018.

8. Michael U. Gutmann. Introduction to Probabilistic Modelling. 2018.

9. Tuomas Mikael Heikkilä and Teemu Teppo Roos. Quantitative Methods for the Analysis of Medieval Calendars. Digital Scholarship in the Humanities: DSH, in press, 2018.

10. Markus Heinonen, Cagatay Yildiz, Henrik Mannerström, Jukka Intosalmi, and Harri Lähdesmäki. Learning unknown ODE models with Gaussian processes. 2018.

11. Antti Honkela, Mrinal Das, Arttu Nieminen, Onur Dikmen, and Samuel Kaski. Efficient differentially private learning improves drug sensitivity prediction. Biology Direct, 13(1): 1–12, 2018.

12. Pan Hui, Yang Chen, Hu Jiao, Z. Hao, and Yu Xiao. Measurement and Analysis of the Swarm Social Network with Tens of Millions of Nodes. IEEE Access, 6: 4547–4559, 2018.

13. Emmi Jokinen, Markus Heinonen, and Harri Lähdesmäki. mGPfusion: Predicting protein stability changes with Gaussian process kernel learning and data fusion. Bioinformatics, 2018.

14. Niina Lietzén, Lu Cheng, Robert Moulder, Heli Siljander, Essi Laajala, Taina Härkönen, Aleksandr Peet, Aki Vehtari, Vallo Tillmann, Mikael Knip, Harri Lähdesmäki, and Riitta Lahesmaa. Characterization and non-parametric modeling of the developing serum proteome during infancy and early childhood. Scientific Reports, 8(1): 1–13, 2018.

15. Jian Liu, Duan Li, Yong Li, and N. Asokan. Secure Deduplication of Encrypted Data: Refined Model and New Constructions. Topics in Cryptology – CT-RSA 2018: 374–393, 2018.

16. Brandon Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, and Petri Myllymäki. Empirical Hardness of Finding Optimal Bayesian Network Structures: Algorithm Selection and Runtime Prediction. MachineLearning, 107(1): 247–283, 2018.

17. Elsa Marques, Tomi Peltola, Samuel Kaski, and Juha Klefström. Phenotype-driven identification of epithelial signalling clusters. Scientific Reports, 8(1): 1–13, 2018.

18. Guillaume Méric, Alan McNally, Alberto Pessia, Evangelos Mourkas, Ben Pascoe, Leonardos Mageiros, Minna Emilia Vehkala, Jukka Ilmari Corander, and Samuel K. Shepard. Convergent amino acid signatures in polyphyletic Campylobacter jejuni subpopulations suggest human niche tropism. Genome Biology and Evolution, 10(3): 763–774, 2018.

19. Zhonghong Ou, Meina Song, Zhen Huan Hwang, Antti Ylä-Jääski, Ren Wang, Yong Cui, and Pan Hui. Is cloud storage ready? Performance comparison of representative IP-based storage systems. Journal of Systems and Software, 138: 206–221, 2018.

20. Andrew Paverd, Sandeep Tamrakar, Hoang Long Nguyen, Praveen Pendyala, Thien Duc Nguyen, Elizabeth Stobert, Tommi Gröndahl, N. Asokan, and Ahmad-Reza Sadeghi. OmniShare: Encrypted Cloud Storage for the Multi-Device Era. IEEE Internet Computing, 2018.

21. Alberto Pessia and Jukka Ilmari Corander. Kpax3: Bayesian bi-clustering of large sequence datasets. Bioinformatics, 2018.

22. Juho Piironen and Aki Vehtari. Iterative Supervised Principal Components. Proceedings of Machine Learning Research(PMLR) 84: 106–114, 2018.

23. Lidia Pivovarova, Arto Olavi Klami, and Roman Yangarber. Entity-oriented polarity detection in business news. Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, in press 2018.

24. Olli Pekka Rinta-Koski, Simo Särkkä, Jaakko Hollmén, Markus Leskinen, and Sture Andersson. Gaussian process classification for prediction of in-hospital mortality among preterm infants. Neurocomputing, 2018.

25. Rakshith Shetty, Hamed Rezazadegan Tavakoli, and Jorma Laaksonen. Image and Video Captioning with Augmented Neural Architectures. IEEE Multimedia, 2018.

26. Jussi Tarvainen, Jorma Laaksonen, and Tapio Takala. Film mood and its quantitative determinants in different types of scenes. IEEE Transactions on Affective Computing, 2018.

27. Juho Timonen, Henrik Mannerström, Harri Lähdesmäki, and Jukka Intosalmi. A probabilistic framework for molecular network structure inference by means of mechanistic modeling. IEEE-ACM Transactions on Computational Biology and Bioinformatics, 2018.

28. Jukka Mikael Toivanen, Matti Juhani Järvisalo, Olli Markus Alm, Dan Ventura, Martti Tapani Vainio, and Hannu Tauno Tapani Toivonen. Towards Transformational Creation of Novel Songs. Connection Science, 2018.

29. Aurora Elizabeth Tulilaulu, Matti Nelimarkka, Joonas Paalasmaa, Daniel Johnson, Dan Ventura, Petri Juhani Myllys, and Hannu Tauno Tapani Toivonen. Data Musicalization. ACM Transactions on Multimedia Computing Communications and Applications, 14(2): 47:1–47:27, 2018.

30. Ullah Ubaid Ullah, Syed Bilal Ahmad Andrabi, Subhash Kumar Tripathi, Obaiah Dirasantha, Kartiek Kanduri, Sini Rautio, Catharina C. Gross, Sari Lehtimäki, Kanchan Bala, Johanna Tuomisto, Urvashi Bhatia, Deepankar Chakroborty, Laura L. Elo, Harri Lähdesmäki, Heinz Wiendl, Omid Rasool, and Riitta Lahesmaa. Transcriptional Repressor HIC1 Contributes to Suppressive Function of Human Induced Regulatory T Cells. Cell Reports, 22(8): 2094–2106, 2018.

31. Christian Vaas, Mika Juuti, N. Asokan, and Ivan Martinovic. Get in Line: Ongoing Co-Presence Verification of a Vehicle Formation Based on Driving Trajectories. IEEE, 4 2018.

32. Ping Xiao, Hannu Tauno Tapani Toivonen, Oskar Gross, et al. Conceptual Representations for Computational Concept Creation. ACM Computing Surveys, 2018.