Sebastien Boyer

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 5

Top Topics

Transfer Learning

Predicting Protein

Independent Variables

Top Venues

Publications

Arturo Fiorellini-Bernardis, Sebastien Boyer, Christoph Brunken, Bakary Diallo, Karim Beguir, Nicolás López Carranza, Oliver Bent
Protein binding affinity prediction under multiple substitutions applying eGNNs on Residue and Atomic graphs combined with Language model information: eGRAL. CoRR (2024)
Sebastien Boyer, Sam Money-Kyrle, Oliver Bent
Predicting protein stability changes under multiple amino acid substitutions using equivariant graph neural networks. CoRR (2023)
Steven Schulz, Sebastien Boyer, Matteo Smerlak, Simona Cocco, Rémi Monasson, Clément Nizak, Olivier Rivoire
Parameters and determinants of responses to selection in antibody libraries. PLoS Comput. Biol. 17 (3) (2021)
Yuanzhe Chen, Qing Chen, Mingqian Zhao, Sebastien Boyer, Kalyan Veeramachaneni, Huamin Qu
DropoutSeer: Visualizing learning patterns in Massive Open Online Courses for dropout reasoning and prediction. VAST (2016)
Sebastien Boyer, Kalyan Veeramachaneni
Robust Predictive Models on MOOCs : Transferring Knowledge across Courses. EDM (2016)
Sebastien Boyer, Ben U. Gelman, Benjamin Schreck, Kalyan Veeramachaneni
Data science foundry for MOOCs. DSAA (2015)
Sebastien Boyer, Kalyan Veeramachaneni
Transfer Learning for Predictive Models in Massive Open Online Courses. AIED (2015)