Milos Hauskrecht

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	Wszystkie	Od 2020
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h-indeks	38	25
i10-indeks	97	60

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Gregory CooperProfessor of Biomedical Informatics, University of PittsburghZweryfikowany adres z pitt.edu
Iyad BatalResearch Scientist, MicrosoftZweryfikowany adres z microsoft.com
Shyam VisweswaranProfessor of Biomedical Informatics, University of PittsburghZweryfikowany adres z pitt.edu
Gilles ClermontProfessor of Critical Care Medicine, University of PittsburghZweryfikowany adres z pitt.edu
Michal ValkoChief Models Officer @ Stealth Startup, Inria & MVA - Ex: Llama at Meta; Gemini and BYOL @ DeepmindZweryfikowany adres z meta.com
Branislav KvetonAdobe ResearchZweryfikowany adres z adobe.com
Zitao LiuJinan University, Guangzhou, ChinaZweryfikowany adres z jnu.edu.cn
Tomas SingliarMicrosoft (Azure ML). Formerly Amazon, Boeing ResearchZweryfikowany adres z microsoft.com
Siqi LiuUniversity of PittsburghZweryfikowany adres z cs.pitt.edu
Craig BoutilierPrincipal Scientist, GoogleZweryfikowany adres z google.com
Thomas DeanBrown UniversityZweryfikowany adres z brown.edu
Hamish FraserBrown UniversityZweryfikowany adres z brown.edu
Carlos GuestrinProfessor, Stanford UniversityZweryfikowany adres z stanford.edu
Adam WrightProfessor of Biomedical Informatics, Vanderbilt University Medical CenterZweryfikowany adres z vumc.org
Riccardo BellazziProfessor of Bioengineering and Medical Informatics, University of PaviaZweryfikowany adres z unipv.it
Eli UpfalComputer Science Professor, Brown UniversityZweryfikowany adres z brown.edu

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Milos Hauskrecht

Professor of Computer Science, University of Pittsburgh

Zweryfikowany adres z pitt.edu - Strona główna

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


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Obtaining well calibrated probabilities using bayesian binning MP Naeini, G Cooper, M Hauskrecht Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015	1717	2015
Value-function approximations for partially observable Markov decision processes M Hauskrecht Journal of Artificial Intelligence Research 13, 33-94, 2000	800	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	97	2004
Planning and control in stochastic domains with imperfect information M Hauskrecht Massachusetts Institute of Technology, 1997	93	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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