78 citations · 169 across the 10 of their papers we have counts for
3 papers · 1 filter
Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling
Anuj Pal, Raunak Kumar, Dhruvi Solanki +3
Antimicrobial peptides (AMPs) often act against multiple pathogen classes, making multi-label activity prediction a more realistic screening target than binary antimicrobial classi…
Pathology-Aware Multi-View Contrastive Learning for Patient-Independent ECG Reconstruction
Youssef Youssef, Jitin Singla
Reconstructing a 12-lead electrocardiogram (ECG) from a reduced lead set is an ill-posed inverse problem due to anatomical variability. Standard deep learning methods often ignore…
On Learning with LAD
C. A. Jothishwaran, Biplav Srivastava, Jitin Singla +1
The logical analysis of data, LAD, is a technique that yields two-class classifiers based on Boolean functions having disjunctive normal form (DNF) representation. Although LAD alg…