2 papers
cs.LG2026
Multiclass Local Calibration with the Jensen-Shannon Distance
Cesare Barbera, Lorenzo Perini, Giovanni De Toni +2
Developing trustworthy Machine Learning (ML) models requires their predicted probabilities to be well-calibrated, meaning they should reflect true-class frequencies. Among calibrat…
q-bio.BM2024
ProtScan: Modeling and Prediction of RNA-Protein Interactions
Gianluca Corrado, Michael Uhl, Rolf Backofen +2
CLIP-seq methods are valuable techniques to experimentally determine transcriptome-wide binding sites of RNA-binding proteins. Despite the constant improvement of such techniques (…