Model Reduction of Shallow CNN Model for Reliable Deployment of Information Extraction from Medical Reports. - Abhishek Kumar Dubey; Alina Peluso; Jacob D. Hinkle; Devanshu Agarawal; Zilong Tan (CoRR, 2020)

Multiple-testing correction in metabolome-wide association studies. - Alina Peluso; Robert C. Glen; Timothy M. D. Ebbels (BMC Bioinform., 2021)

Medication Knowledge Graph Analysis Using the PageRank Algorithm. - S. M. Shamimul Hasan; Alina Peluso; Heidi A. Hanson; Anuj J. Kapadia (ICHI, 2023)

cpgQA: A Benchmark Dataset for Machine Reading Comprehension Tasks on Clinical Practice Guidelines and a Case Study Using Transfer Learning. - Maria Mahbub; Edmon Begoli; Susana B. Martins; Alina Peluso; Suzanne Tamang; Gregory D. Peterson (IEEE Access, 2023)

Geographical Insights into Suicide Mortality Through Spatial Machine Learning. - Viswadeep Lebakula; Swapna S. Gokhale; Anuj J. Kapadia; Jodie Trafton; Alina Peluso (IEEE Big Data, 2024)

Explaining Health Risk Behaviors in the U.S. with Social Deprivation at Local and Regional Levels. - Swapna S. Gokhale; Viswadeep Lebakula; Alina Peluso (COMPSAC, 2024)

Deep learning uncertainty quantification for clinical text classification. - Alina Peluso; Ioana Danciu; Hong-Jun Yoon; Jamaludin Mohd-Yusof; Tanmoy Bhattacharya 001; Adam Spannaus; Noah Schaefferkoetter; Eric B. Durbin; Xiao-Cheng Wu; Antoinette Stroup; Jennifer A. Doherty; Stephen M. Schwartz; et al. (J. Biomed. Informatics, 2024)

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium. - Amin Adibi; Xu Cao; Zongliang Ji; Jivat Neet Kaur; Winston Chen; Elizabeth Healey; Brighton Nuwagira; Wenqian Ye; Geoffrey Woollard; Maxwell A. Xu; Hejie Cui; Johnny Xi; et al. (CoRR, 2025)