| 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 | 208 | 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 | 159 | 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 | 156 | 2013 |
| 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 | 95 | 2011 |
| Multivariate time series classification with temporal abstractions L Batal, L Sacchi, R Bellazzi, M Hauskrecht Proceedings of the 22nd International Florida Artificial Intelligence …, 2009 | 86 | 2009 |
| Conditional outlier detection for clinical alerting M Hauskrecht, M Valko, I Batal, G Clermont, S Visweswaran, GF Cooper AMIA annual symposium proceedings 2010, 286, 2010 | 61 | 2010 |
| 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 | 59 | 2009 |
| 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 | 58 | 2016 |
| Outlier-based detection of unusual patient-management actions: an ICU study M Hauskrecht, I Batal, C Hong, Q Nguyen, GF Cooper, S Visweswaran, ... Journal of biomedical informatics 64, 211-221, 2016 | 52 | 2016 |
| A temporal abstraction framework for classifying clinical temporal data I Batal, L Sacchi, R Bellazzi, M Hauskrecht AMIA Annual Symposium Proceedings 2009, 29, 2009 | 45 | 2009 |
| Boosting KNN text classification accuracy by using supervised term weighting schemes I Batal, M Hauskrecht Proceedings of the 18th ACM conference on Information and knowledge …, 2009 | 43 | 2009 |
| Constructing classification features using minimal predictive patterns I Batal, M Hauskrecht Proceedings of the 19th ACM international conference on Information and …, 2010 | 28 | 2010 |
| An efficient probabilistic framework for multi-dimensional classification I Batal, C Hong, M Hauskrecht Proceedings of the 22nd ACM international conference on Information …, 2013 | 21 | 2013 |
| A generalized mixture framework for multi-label classification C Hong, I Batal, M Hauskrecht Proceedings of the 2015 SIAM International Conference on Data Mining, 712-720, 2015 | 16 | 2015 |
| A mixtures-of-trees framework for multi-label classification C Hong, I Batal, M Hauskrecht Proceedings of the 23rd ACM International Conference on Conference on …, 2014 | 15 | 2014 |
| Mining clinical data using minimal predictive rules I Batal, M Hauskrecht AMIA Annual Symposium Proceedings 2010, 31, 2010 | 15 | 2010 |
| A bayesian scoring technique for mining predictive and non-spurious rules I Batal, G Cooper, M Hauskrecht Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012 | 14 | 2012 |
| A concise representation of association rules using minimal predictive rules I Batal, M Hauskrecht Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010 | 14 | 2010 |
| Systems and methods for estimating a time of an engine event BA Matthews, JJ Bizub, I Batal, FW Wheeler US Patent 10,054,043, 2018 | 11 | 2018 |
| System and method for locating an engine event I Batal, JJ Bizub, BA Matthews US Patent 9,593,631, 2017 | 9 | 2017 |
Milos HauskrechtProfessor of Computer Science, University of PittsburghBestätigte E-Mail-Adresse bei pitt.edu
