Michael C. Hughes

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Referințe bibliografice	1831	1627
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Finale Doshi-VelezProfessor, HarvardAdresă de e-mail confirmată pe seas.harvard.edu
Erik B. SudderthProfessor of Computer Science, UC IrvineAdresă de e-mail confirmată pe uci.edu
Dr. Marzyeh GhassemiAssistant Professor, EECS.CSAIL/IMES, MITAdresă de e-mail confirmată pe mit.edu
Mike WuStanford UniversityAdresă de e-mail confirmată pe cs.stanford.edu
Tristan NaumannPrincipal Researcher, Microsoft Research Health FuturesAdresă de e-mail confirmată pe microsoft.com
Thomas H McCoyMassachusetts General Hospital / Harvard Medical SchoolAdresă de e-mail confirmată pe mgh.harvard.edu
Andrew RossPhD student, Harvard UniversityAdresă de e-mail confirmată pe g.harvard.edu
Sonali ParbhooAssistant Professor, Imperial College LondonAdresă de e-mail confirmată pe imperial.ac.uk
Roy PerlisMassachusetts General HospitalAdresă de e-mail confirmată pe mgh.harvard.edu
Matthew B. A. McDermottPostdoctoral Researcher, Harvard Medical School, Department of Biomedical InformaticsAdresă de e-mail confirmată pe hms.harvard.edu
Emily B. FoxStanford UniversityAdresă de e-mail confirmată pe stanford.edu
Gabriel HopePhD Student, University of California, IrvineAdresă de e-mail confirmată pe uci.edu
Zhe HuangTufts University, Department of Computer ScienceAdresă de e-mail confirmată pe tufts.edu
Melanie F. PradierMicrosoft ResearchAdresă de e-mail confirmată pe microsoft.com
Shuchin AeronAssociate Professor, ECE, Tufts UniversityAdresă de e-mail confirmată pe ece.tufts.edu
Eric MillerTufts UniversityAdresă de e-mail confirmată pe tufts.edu
Soha HassounProfessor & Past Chair. Department of Computer Science, Tufts UniversityAdresă de e-mail confirmată pe cs.tufts.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyAdresă de e-mail confirmată pe cs.berkeley.edu
Peter SzolovitsProfessor of Computer Science and Engineering, MITAdresă de e-mail confirmată pe mit.edu
William T. StephensonGraduate Student, Massachusetts Institute of TechnologyAdresă de e-mail confirmată pe mit.edu

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Michael C. Hughes

Assistant Professor of Computer Science, Tufts University

Adresă de e-mail confirmată pe michaelchughes.com - Pagina de pornire

Machine Learning Clinical Informatics


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations AS Ross, MC Hughes, F Doshi-Velez International Joint Conference on Artificial Intelligence, 2017	467	2017
Beyond sparsity: Tree regularization of deep models for interpretability M Wu, MC Hughes, S Parbhoo, M Zazzi, V Roth, F Doshi-Velez Thirty-Second AAAI Conference on Artificial Intelligence, 2018	243	2018
MIMIC-Extract: A data extraction, preprocessing, and representation pipeline for MIMIC-III S Wang, MBA McDermott, G Chauhan, M Ghassemi, MC Hughes, ... Proceedings of the ACM Conference on Health, Inference, and Learning, 222-235, 2020	123	2020
Memoized Online Variational Inference for Dirichlet Process Mixture Models MC Hughes, EB Sudderth Advances in Neural Information Processing Systems, 1133-1141, 2013	120	2013
Joint modeling of multiple time series via the beta process with application to motion capture segmentation EB Fox, MC Hughes, EB Sudderth, MI Jordan	117	2014
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks B Nestor, M McDermott, W Boag, G Berner, T Naumann, MC Hughes, ... Proceedings of the 4th Machine Learning for Healthcare Conference, 2019	103	2019
The role of machine learning in clinical research: transforming the future of evidence generation EH Weissler, T Naumann, T Andersson, R Ranganath, O Elemento, Y Luo, ... Trials, 2021	65	2021
Predicting intervention onset in the ICU with switching state space models M Ghassemi, M Wu, MC Hughes, P Szolovits, F Doshi-Velez AMIA Summits on Translational Science Proceedings 2017, 82, 2017	65	2017
Effective split-merge monte carlo methods for nonparametric models of sequential data MC Hughes, EB Fox, EB Sudderth Advances in Neural Information Processing Systems, 1295-1303, 2012	51	2012
Reliable and Scalable Variational Inference for the Hierarchical Dirichlet Process. MC Hughes, DI Kim, EB Sudderth AISTATS, 2015	46	2015
POPCORN: Partially Observed Prediction COnstrained ReiNforcement Learning J Futoma, MC Hughes, F Doshi-Velez The 23rd International Conference on Artificial Intelligence and Statistics …, 2020	39	2020
Semi-Supervised Prediction-Constrained Topic Models MC Hughes, G Hope, L Weiner, TH McCoy Jr, RH Perlis, E Sudderth, ... International Conference on Artificial Intelligence and Statistics, 1067-1076, 2018	31	2018
The Nonparametric Metadata Dependent Relational Model DI Kim, MC Hughes, EB Sudderth The 29th International Conference on Machine Learning (ICML 2012), 2012	31	2012
Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation B Nestor, M McDermott, G Chauhan, T Naumann, MC Hughes, ... arXiv preprint arXiv:1811.12583, 2018	30	2018
Regional tree regularization for interpretability in deep neural networks M Wu, S Parbhoo, M Hughes, R Kindle, L Celi, M Zazzi, V Roth, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6413-6421, 2020	24	2020
Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models MC Hughes, WT Stephenson, EB Sudderth Advances in Neural Information Processing Systems, 2015	24	2015
Nonparametric Discovery of Activity Patterns from Video Collections MC Hughes, EB Sudderth The Eighth IEEE Computer Society Workshop on Perceptual Organization in …, 2012	22	2012
Predicting treatment dropout after antidepressant initiation MF Pradier, TH McCoy Jr, M Hughes, RH Perlis, F Doshi-Velez Translational Psychiatry 10 (1), 1-8, 2020	21	2020
Bnpy: Reliable and scalable variational inference for Bayesian nonparametric models MC Hughes, EB Sudderth NIPS Probabilistic Programimming Workshop, 2014	19	2014
Fast Learning of Clusters and Topics via Sparse Posteriors MC Hughes, EB Sudderth arXiv preprint arXiv:1609.07521, 2016	16	2016

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