LASSO-based feature selection for improved microbial and microbiome classification. - Owen Queen; Scott J. Emrich (BIBM, 2021)

Evaluating Explainability for Graph Neural Networks. - Chirag Agarwal; Owen Queen; Himabindu Lakkaraju; Marinka Zitnik (CoRR, 2022)

Adapting Protein Language Models for Explainable Fine-Grained Evolutionary Pattern Discovery. - Ashley Babjac; Owen Queen; Shawn-Patrick Barhorst; Kambiz Kalhor; Andrew D. Steen; Scott J. Emrich (BIBM, 2023)

Domain Adaptation for Time Series Under Feature and Label Shifts. - Huan He; Owen Queen; Teddy Koker; Consuelo Cuevas; Theodoros Tsiligkaridis; Marinka Zitnik (ICML, 2023)

Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency. - Owen Queen; Tom Hartvigsen; Teddy Koker; Huan He; Theodoros Tsiligkaridis; Marinka Zitnik (NeurIPS, 2023)

Deep Learning for Reference-Free Geolocation for Poplar Trees. - Cai W. John; Owen Queen; Wellington Muchero; Scott J. Emrich (CoRR, 2023)

Graph AI in Medicine. - Ruth Johnson; Michelle M. Li; Ayush Noori; Owen Queen; Marinka Zitnik (CoRR, 2023)

UniTS: A Unified Multi-Task Time Series Model. - Shanghua Gao; Teddy Koker; Owen Queen; Tom Hartvigsen; Theodoros Tsiligkaridis; Marinka Zitnik (NeurIPS, 2024)

UniTS: Building a Unified Time Series Model. - Shanghua Gao; Teddy Koker; Owen Queen; Thomas Hartvigsen; Theodoros Tsiligkaridis; Marinka Zitnik (CoRR, 2024)