Bret Nestor - RankMe

13 papers A* 1Journal 7Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Positive-Unlabelled Active Learning to Curate a Dataset for Orca Resident Interpretation. CoRR Bret Nestor, Bohan Yao, Jasmine Moore, Jasper Kanes
2025	J	`jnl`	Algorithmic Collective Action with Multiple Collectives. CoRR Claudio Battiloro, Pietro Greiner, Bret Nestor, Oumaima Amezgar, Francesca Dominici
2023	A*	`conf`	Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events. NeurIPS Matthew B. A. McDermott, Bret Nestor, Peniel N. Argaw, Isaac S. Kohane
2023	J	`jnl`	Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events. CoRR Matthew B. A. McDermott, Bret Nestor, Peniel N. Argaw, Isaac S. Kohane
2023	—	`—`	Satisfying Model Validity for Robust Clinical Machine Learning for Time-Series Bret Nestor
2021	—	`conf`	A comprehensive EHR timeseries pre-training benchmark. CHIL Matthew B. A. McDermott, Bret Nestor, Evan Kim, Wancong Zhang, Anna Goldenberg, Peter Szolovits, Marzyeh Ghassemi
2020	J	`jnl`	A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data. CoRR Matthew B. A. McDermott, Bret Nestor, Evan Kim, Wancong Zhang, Anna Goldenberg, Peter Szolovits, Marzyeh Ghassemi
2020	—	`conf`	Preparing a Clinical Support Model for Silent Mode in General Internal Medicine. MLHC Bret Nestor, Liam G. McCoy, Amol Verma, Chloé Pou-Prom, Joshua Murray, Sebnem Kuzulugil, David Dai, Muhammad Mamdani, Anna Goldenberg, Marzyeh Ghassemi
2019	—	`conf`	Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation. ML4H@NeurIPS Aparna Balagopalan, Jekaterina Novikova, Matthew B. A. McDermott, Bret Nestor, Tristan Naumann, Marzyeh Ghassemi
2019	J	`jnl`	Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation. CoRR Aparna Balagopalan, Jekaterina Novikova, Matthew B. A. McDermott, Bret Nestor, Tristan Naumann, Marzyeh Ghassemi
2019	—	`conf`	Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks. MLHC Bret Nestor, Matthew B. A. McDermott, Willie Boag, Gabriela Berner, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi
2019	J	`jnl`	Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks. CoRR Bret Nestor, Matthew B. A. McDermott, Willie Boag, Gabriela Berner, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi
2018	J	`jnl`	Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation. CoRR Bret Nestor, Matthew B. A. McDermott, Geeticka Chauhan, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi