A robust speech rate estimation based on the activation profile from the selected acoustic unit dictionary. - Supriya Nagesh; Chiranjeevi Yarra; Om Deshmukh; Prasanta Kumar Ghosh (ICASSP, 2016)

A high resolution ENF based multi-stage classifier for location forensics of media recordings. - Pradyumna B. Suresha; Supriya Nagesh; Priyadarshini Savan Roshan; Aditya Gaonkar P.; G. Nisha Meenakshi; Prasanta Kumar Ghosh (NCC, 2017)

A Spatiotemporal Approach to Predicting Glaucoma Progression Using a CT-HMM. - Supriya Nagesh; Alexander Moreno; Hiroshi Ishikawa 005; Gadi Wollstein; Joel S. Schuman; James M. Rehg (MLHC, 2019)

Classification of Decompensated Heart Failure From Clinical and Home Ballistocardiography. - Varol Burak Aydemir; Supriya Nagesh; Md Mobashir Hasan Shandhi; Joanna Fan; Liviu Klein; Mozziyar Etemadi; James Alex Heller; Omer T. Inan; James M. Rehg (IEEE Trans. Biomed. Eng., 2020)

Transformers for prompt-level EMA non-response prediction. - Supriya Nagesh; Alexander Moreno; Stephanie Marita Carpenter; Jamie Yap; Soujanya Chatterjee; Steven Lloyd Lizotte; Neng Wan; Santosh Kumar 001; Cho Lam; David W. Wetter; Inbal Nahum-Shani; James M. Rehg (CoRR, 2021)

Kernel Deformed Exponential Families for Sparse Continuous Attention. - Alexander Moreno; Supriya Nagesh; Zhenke Wu; Walter H. Dempsey; James M. Rehg (CoRR, 2021)

Kernel Multimodal Continuous Attention. - Alexander Moreno; Zhenke Wu; Supriya Nagesh; Walter H. Dempsey; James M. Rehg (NeurIPS, 2022)

PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation. - Maxwell A. Xu; Alexander Moreno; Supriya Nagesh; Varol Burak Aydemir; David W. Wetter; Santosh Kumar 001; James M. Rehg (NeurIPS, 2022)

Explaining a machine learning decision to physicians via counterfactuals. - Supriya Nagesh; Nina Mishra; Yonatan Naamad; James M. Rehg; Mehul A. Shah; Alexei Wagner (CHIL, 2023)

Developing Transferable Deep Models for Mobile Health. - Supriya Nagesh (2023)

DOSSIER: Fact Checking in Electronic Health Records while Preserving Patient Privacy. - Haoran Zhang; Supriya Nagesh; Milind Shyani; Nina Mishra (MLHC, 2024)

Generating colloquial radiology reports with large language models. - Cynthia Crystal Tang; Supriya Nagesh; David Fussell; Justin Glavis-Bloom; Nina Mishra; Charles Li; Gillean Cortes; Robert Hill; Jasmine Zhao; Angellica Gordon; Joshua Wright; Hayden Troutt; et al. (J. Am. Medical Informatics Assoc., 2024)

Private Text Generation by Seeding Large Language Model Prompts. - Supriya Nagesh; Justin Y. Chen; Nina Mishra; Tal Wagner (CoRR, 2025)