Sep
27
9:00 AM09:00
Arto Klami: Markov Chain Monte Carlo on Monge Patches
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Filtering by: Spring 2021
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Sep
13
9:00 AM09:00
Lalli Myllyaho: Validation Methods For AI Systems
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Jun
10
12:00 PM12:00
May
31
9:00 AM09:00
Indre Zliobaite: How recommender systems relate to species distribution modeling
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May
24
9:00 AM09:00
Betul Guvenc: DIVERSE: Bayesian Data IntegratiVE Learning for Precise Drug ResponSE Prediction
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May
21
1:00 PM13:00
Industry and Society Webinar: AI for Sustainability – Smart Mobility
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May
20
10:00 AM10:00
NVAITC Webinar Series on AI Applications in Computational Sciences: Session 4 - AI to Drive a Low-carbon Energy Transition
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May
17
9:00 AM09:00
Alex Jung: Federated Multitask Learning in Big Data over Networks
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May
10
9:00 AM09:00
Jarno Vanhatalo: On statistical inference, prediction and data for ecological risk assessment in remote Arctic Marine areas
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May
6
11:00 AM11:00
NEW DATE: NVAITC Webinar Series on AI Applications in Computational Sciences: Session 2 - AI in Computational Fluid Dynamics
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Apr
20
10:00 AM10:00
NVAITC Webinar Series on AI Applications in Computational Sciences: Session 3 - AI in Materials Science
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Apr
19
9:00 AM09:00
Apr
12
9:00 AM09:00
Sara Tähtinen: Explainable AI in computer vision
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Mar
29
9:00 AM09:00
Denis Kotkov: Collecting and predicting relevance ratings of item-tag pairs
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Mar
22
9:00 AM09:00
Mar
16
9:00 AM09:00
Mar
15
9:00 AM09:00
Mikko Kemppainen: Automated Game Experience Personalization
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Mar
11
2:00 PM14:00
Deploying deep learning-based models in projects and real-world cases – challenges and solutions
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Mar
8
9:00 AM09:00
Harri Lähdesmäki: Deep and non-parametric methods for longitudinal data
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Mar
4
4:00 PM16:00
NVAITC Webinar Series on AI Applications in Computational Sciences: Session 1 - AI in Atmospheric Science
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Mar
3
8:00 AM08:00
Online seminar: What will become of your social networking services (SNS) after death?
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Mar
1
9:00 AM09:00
Feb
25
11:00 AM11:00
Feb
22
9:00 AM09:00
Juho Rousu: Machine Learning of Drug Combination Responses
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Feb
15
9:00 AM09:00
Simo Särkkä: GPU Computing for Large-Scale Learning in State Space Models
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Feb
8
9:00 AM09:00
Jaakko Peltonen: Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction
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Feb
1
9:00 AM09:00
Jörg Tiedemann: What's in a translation model? Analyzing neural seq2seq models and the representations they learn
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Jan
25
9:00 AM09:00
Jan
18
9:00 AM09:00
Tero Karras: Training Generative Adversarial Networks with Limited Data
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