4 papers
Beyond Defensive Reporting: Machine Learning for Active Anti-Money Laundering Control in Insurance
Dara Goldar, Geir Kjetil Ferkingstad Sandve, Martin Jullum
Money laundering through insurance claims poses a threat to insurers both through fraudulent payouts and reputational and regulatory risk. Despite this, little research has examine…
Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data
Robert Frank, Michael Widrich, Rahmad Akbar +4
Generative machine learning models offer a powerful framework for therapeutic design by efficiently exploring large spaces of biological sequences enriched for desirable properties…
inMOTIFin: a lightweight end-to-end simulation software for regulatory sequences
Katalin Ferenc, Lorenzo Martini, Ieva Rauluseviciute +2
The accurate development, assessment, interpretation, and benchmarking of bioinformatics frameworks for analyzing transcriptional regulatory grammars rely on controlled simulations…
CAVACHON: a hierarchical variational autoencoder to integrate multi-modal single-cell data
Ping-Han Hsieh, Ru-Xiu Hsiao, Katalin Ferenc +6
Paired single-cell sequencing technologies enable the simultaneous measurement of complementary modalities of molecular data at single-cell resolution. Along with the advances in t…