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stat.ML2025
Interpretability of Graph Neural Networks to Assess Effects of Global Change Drivers on Ecological Networks
Emre Anakok, Pierre Barbillon, Colin Fontaine +1
Pollinators play a crucial role for plant reproduction, either in natural ecosystem or in human-modified landscape. Global change drivers,including climate change or land use modif…
stat.ML2024
HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural Network for Efficient Drug Cardiosafety Assessment
Inass Soukarieh, Gerhard Hessler, Hervé Minoux +6
Mathematical modeling in systems toxicology enables a comprehensive understanding of the effects of pharmaceutical substances on cardiac health. However, the complexity of these mo…
stat.ML2024
Bipartite Graph Variational Auto-Encoder with Fair Latent Representation to Account for Sampling Bias in Ecological Networks
Emre Anakok, Pierre Barbillon, Colin Fontaine +1
Citizen science monitoring programs can generate large amounts of valuable data, but are often affected by sampling bias. We focus on a citizen science initiative that records plan…