McDermott, Matthew B.A.

8 publications

ICLR 2025 ACES: Automatic Cohort Extraction System for Event-Stream Datasets Justin Xu, Jack Gallifant, Alistair Johnson, Matthew B.A. McDermott

MLHC 2024 Event-Based Contrastive Learning for Medical Time Series Nassim Oufattole, Hyewon Jeong, Matthew B.A. McDermott, Aparna Balagopalan, Bryan Jangeesingh, Marzyeh Ghassemi, Collin Stultz

NeurIPSW 2024 MEDS-Torch: An ML Pipeline for Inductive Experiments for EHR Medical Foundation Models Nassim Oufattole, Teya Bergamaschi, Pawel Renc, Aleksia Kolo, Matthew B.A. McDermott, Collin Stultz

NeurIPSW 2023 Event-Based Contrastive Learning for Medical Time Series Hyewon Jeong, Nassim Oufattole, Aparna Balagopalan, Matthew B.A. McDermott, Payal Chandak, Marzyeh Ghassemi, Collin Stultz

NeurIPSW 2022 Structure-Inducing Pre-Training Matthew B.A. McDermott, Brendan Yap, Peter Szolovits, Marinka Zitnik

MLHC 2020 CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output Matthew B.A. McDermott, Tzu Ming Harry Hsu, Wei-Hung Weng, Marzyeh Ghassemi, Peter Szolovits

MLHC 2019 Feature Robustness in Non-Stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks Bret Nestor, Matthew B. A. McDermott, Willie Boag, Gabriela Berner, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi

AAAI 2018 Semi-Supervised Biomedical Translation with Cycle Wasserstein Regression GANs Matthew B. A. McDermott, Tom Yan, Tristan Naumann, Nathan Hunt, Harini Suresh, Peter Szolovits, Marzyeh Ghassemi