Milos Hauskrecht

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Gregory CooperProfessor of Biomedical Informatics, University of PittsburghVerifisert e-postadresse på pitt.edu
Iyad BatalResearch Scientist, MicrosoftVerifisert e-postadresse på microsoft.com
Shyam VisweswaranProfessor of Biomedical Informatics, University of PittsburghVerifisert e-postadresse på pitt.edu
Gilles ClermontProfessor of Critical Care Medicine, University of PittsburghVerifisert e-postadresse på pitt.edu
Michal ValkoChief Models Officer @ Stealth Startup, Inria & MVA - Ex: Llama at Meta; Gemini and BYOL @ DeepmindVerifisert e-postadresse på meta.com
Branislav KvetonAdobe ResearchVerifisert e-postadresse på adobe.com
Zitao LiuJinan University, Guangzhou, ChinaVerifisert e-postadresse på jnu.edu.cn
Tomas SingliarMicrosoft (Azure ML). Formerly Amazon, Boeing ResearchVerifisert e-postadresse på microsoft.com
Siqi LiuUniversity of PittsburghVerifisert e-postadresse på cs.pitt.edu
Craig BoutilierPrincipal Scientist, GoogleVerifisert e-postadresse på google.com
Thomas DeanBrown UniversityVerifisert e-postadresse på brown.edu
Hamish FraserBrown UniversityVerifisert e-postadresse på brown.edu
Carlos GuestrinProfessor, Stanford UniversityVerifisert e-postadresse på stanford.edu
Adam WrightProfessor of Biomedical Informatics, Vanderbilt University Medical CenterVerifisert e-postadresse på vumc.org
Riccardo BellazziProfessor of Bioengineering and Medical Informatics, University of PaviaVerifisert e-postadresse på unipv.it
Eli UpfalComputer Science Professor, Brown UniversityVerifisert e-postadresse på brown.edu

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Milos Hauskrecht

Professor of Computer Science, University of Pittsburgh

Verifisert e-postadresse på pitt.edu - Startside

Machine Learning Clinical data analysis Time-series models Markov Decision Processes Outlier detection


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Obtaining well calibrated probabilities using bayesian binning MP Naeini, G Cooper, M Hauskrecht Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015	1730	2015
Value-function approximations for partially observable Markov decision processes M Hauskrecht Journal of Artificial Intelligence Research 13, 33-94, 2000	802	2000
Hierarchical solution of Markov decision processes using macro-actions M Hauskrecht, N Meuleau, LP Kaelbling, TL Dean, C Boutilier arXiv preprint arXiv:1301.7381, 2013	418	2013
Solving very large weakly coupled Markov decision processes N Meuleau, M Hauskrecht, KE Kim, L Peshkin, LP Kaelbling, TL Dean, ... AAAI/IAAI 8, 2, 1998	289	1998
Planning treatment of ischemic heart disease with partially observable Markov decision processes M Hauskrecht, H Fraser Artificial intelligence in medicine 18 (3), 221-244, 2000	239	2000
Mining recent temporal patterns for event detection in multivariate time series data I Batal, D Fradkin, J Harrison, F Moerchen, M Hauskrecht Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	231	2012
A temporal pattern mining approach for classifying electronic health record data I Batal, H Valizadegan, GF Cooper, M Hauskrecht ACM Transactions on Intelligent Systems and Technology (TIST) 4 (4), 1-22, 2013	188	2013
Outlier detection for patient monitoring and alerting M Hauskrecht, I Batal, M Valko, S Visweswaran, GF Cooper, G Clermont Journal of biomedical informatics 46 (1), 47-55, 2013	184	2013
Incremental methods for computing bounds in partially observable Markov decision processes M Hauskrecht AAAI/IAAI, 734-739, 1997	119	1997
Learning classification models with soft-label information Q Nguyen, H Valizadegan, M Hauskrecht Journal of the American Medical Informatics Association 21 (3), 501-508, 2014	107	2014
A pattern mining approach for classifying multivariate temporal data I Batal, H Valizadegan, GF Cooper, M Hauskrecht 2011 IEEE International Conference on Bioinformatics and Biomedicine, 358-365, 2011	100	2011
Solving factored MDPs with continuous and discrete variables C Guestrin, M Hauskrecht, B Kveton UAI 4, 235-242, 2004	98	2004
Planning and control in stochastic domains with imperfect information M Hauskrecht Massachusetts Institute of Technology, 1997	94	1997
Multivariate Time Series Classification with Temporal Abstractions. I Batal, L Sacchi, R Bellazzi, M Hauskrecht FLAIRS, 2009	88	2009
Noisy-or component analysis and its application to link analysis T Šingliar, M Hauskrecht The Journal of Machine Learning Research 7, 2189-2213, 2006	80	2006
Linear program approximations for factored continuous-state Markov decision processes M Hauskrecht, B Kveton Advances in Neural Information Processing Systems 16, 2003	77	2003
A supervised time series feature extraction technique using dct and dwt I Batal, M Hauskrecht 2009 international conference on machine learning and applications, 735-739, 2009	72	2009
Learning classification models from multiple experts H Valizadegan, Q Nguyen, M Hauskrecht Journal of biomedical informatics 46 (6), 1125-1135, 2013	71	2013
Solving factored MDPs with hybrid state and action variables B Kveton, M Hauskrecht, C Guestrin Journal of Artificial Intelligence Research 27, 153-201, 2006	71	2006
An efficient pattern mining approach for event detection in multivariate temporal data I Batal, GF Cooper, D Fradkin, J Harrison, F Moerchen, M Hauskrecht Knowledge and information systems 46, 115-150, 2016	68	2016

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