| Obtaining well calibrated probabilities using bayesian binning MP Naeini, G Cooper, M Hauskrecht Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 1591 | 2015 |
| Value-function approximations for partially observable Markov decision processes M Hauskrecht Journal of Artificial Intelligence Research 13, 33-94, 2000 | 784 | 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 | 411 | 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 | 287 | 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 | 240 | 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 | 225 | 2012 |
| 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 | 222* | 2011 |
| 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 | 181 | 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 | 179 | 2013 |
| Incremental methods for computing bounds in partially observable Markov decision processes M Hauskrecht AAAI/IAAI, 734-739, 1997 | 117 | 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 | 104 | 2014 |
| Solving factored MDPs with continuous and discrete variables C Guestrin, M Hauskrecht, B Kveton UAI 4, 235-242, 2004 | 96 | 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 Twenty-Second International FLAIRS Conference, 2009 | 87 | 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 | 81 | 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 |
| Solving factored MDPs with hybrid state and action variables B Kveton, M Hauskrecht, C Guestrin Journal of Artificial Intelligence Research 27, 153-201, 2006 | 72 | 2006 |
| 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 | 70 | 2009 |
| Learning classification models from multiple experts H Valizadegan, Q Nguyen, M Hauskrecht Journal of biomedical informatics 46 (6), 1125-1135, 2013 | 69 | 2013 |
| 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 | 66 | 2016 |
Gregory CooperProfessor of Biomedical Informatics, University of PittsburghVerified email at pitt.edu
