Planning
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Thursday, November 17, 2022 |
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09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
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›9:00 (1h)
Keynote
Speaker: Yun S. Song. Title: Improving Variant Effect Predictions using Language Models and Cross-Protein Transfer Learning
›10:30 (1h)
Keynote
Speaker: Charles-Henri Lecellier. Title: Machine learning to probe novel regulatory elements in the human genome
›11:30 (1h)
Keynote
Speaker: Diego Marcos. Title: Evaluating plant trait descriptions crawled from the Web.
›14:00 (1h)
Keynote
Speaker: Sophie Donnet. Title: Modeling collections of networks by stochastic block models. Application in ecology and sociology.
›15:00 (1h)
Keynote
Speaker: Tim Landgraf. Title: BeesBook: Machine learning for the analysis of honeybee social behavior
›16:30 (1h)
Keynote
Speaker: Daniele Silvestro. Title: Using artificial intelligence to predict future biodiversity trends and guide conservation efforts
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Session |
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Speech |
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Logistics |
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Break |
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Tour |
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