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Roy H. Perlis
ORCID
Publication Activity (10 Years)
Years Active: 2015-2024
Publications (10 Years): 9
Top Topics
Gene Expression
Topic Models
Hierarchical Bayesian Model
Cross Disciplinary
Top Venues
CoRR
AISTATS
IEEE ACM Trans. Comput. Biol. Bioinform.
CHI
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Publications
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Abhishek Sharma
,
Catherine Zeng
,
Sanjana Narayanan
,
Sonali Parbhoo
,
Roy H. Perlis
,
Finale Doshi-Velez
Task-Relevant Feature Selection with Prediction Focused Mixture Models.
Trans. Mach. Learn. Res.
2024 (2024)
Maia Jacobs
,
Jeffrey He
,
Melanie F. Pradier
,
Barbara Lam
,
Andrew C. Ahn
,
Thomas H. McCoy
,
Roy H. Perlis
,
Finale Doshi-Velez
,
Krzysztof Z. Gajos
Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens.
CHI
(2021)
Melanie F. Pradier
,
Javier Zazo
,
Sonali Parbhoo
,
Roy H. Perlis
,
Maurizio Zazzi
,
Finale Doshi-Velez
Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise as much as Possible.
CoRR
(2021)
Tianyi Zhang
,
Thomas H. McCoy
,
Roy H. Perlis
,
Finale Doshi-Velez
,
Elena L. Glassman
Interactive Cohort Analysis and Hypothesis Discovery by Exploring Temporal Patterns in Population-Level Health Records.
VAHC
(2021)
Maia Jacobs
,
Jeffrey He
,
Melanie F. Pradier
,
Barbara Lam
,
Andrew C. Ahn
,
Thomas H. McCoy
,
Roy H. Perlis
,
Finale Doshi-Velez
,
Krzysztof Z. Gajos
Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens.
CoRR
(2021)
Matthew B. A. McDermott
,
Jennifer Wang
,
Wen-Ning Zhao
,
Steven Sheridan
,
Peter Szolovits
,
Isaac S. Kohane
,
Stephen J. Haggarty
,
Roy H. Perlis
Deep Learning Benchmarks on L1000 Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
17 (6) (2020)
Michael C. Hughes
,
Gabriel Hope
,
Leah Weiner
,
Thomas H. McCoy Jr.
,
Roy H. Perlis
,
Erik B. Sudderth
,
Finale Doshi-Velez
Semi-Supervised Prediction-Constrained Topic Models.
AISTATS
(2018)
Michael C. Hughes
,
Leah Weiner
,
Gabriel Hope
,
Thomas H. McCoy Jr.
,
Roy H. Perlis
,
Erik B. Sudderth
,
Finale Doshi-Velez
Prediction-Constrained Training for Semi-Supervised Mixture and Topic Models.
CoRR
(2017)
Michael C. Hughes
,
Gabriel Hope
,
Leah Weiner
,
Thomas H. McCoy Jr.
,
Roy H. Perlis
,
Erik B. Sudderth
,
Finale Doshi-Velez
Prediction-Constrained Topic Models for Antidepressant Recommendation.
CoRR
(2017)
Thomas H. McCoy Jr.
,
Victor M. Castro
,
Roy H. Perlis
Stratification of Risk for Fall Resulting in Hospital Readmission through Medication Side Effects Profiles.
AMIA
(2015)