| Learning to rank by optimizing ndcg measure H Valizadegan, R Jin, R Zhang, J Mao Advances in neural information processing systems 22, 2009 | 262 | 2009 |
| 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 | 176 | 2013 |
| Generalized maximum margin clustering and unsupervised kernel learning H Valizadegan, R Jin Advances in neural information processing systems 19, 2006 | 151 | 2006 |
| 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 | 99 | 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 | 98 | 2011 |
| Semi-supervised boosting for multi-class classification H Valizadegan, R Jin, AK Jain Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008 | 84 | 2008 |
| Learning classification models from multiple experts H Valizadegan, Q Nguyen, M Hauskrecht Journal of biomedical informatics 46 (6), 1125-1135, 2013 | 69 | 2013 |
| Vector autoregressive model-based anomaly detection in aviation systems I Melnyk, B Matthews, H Valizadegan, A Banerjee, N Oza Journal of Aerospace Information Systems 13 (4), 161-173, 2016 | 54 | 2016 |
| Ranking refinement and its application to information retrieval R Jin, H Valizadegan, H Li Proceedings of the 17th international conference on World Wide Web, 397-406, 2008 | 53 | 2008 |
| Learning classification with auxiliary probabilistic information Q Nguyen, H Valizadegan, M Hauskrecht 2011 IEEE 11th international conference on data mining, 477-486, 2011 | 47 | 2011 |
| ExoMiner: A highly accurate and explainable deep learning classifier that validates 301 new exoplanets H Valizadegan, MJS Martinho, LS Wilkens, JM Jenkins, JC Smith, ... The Astrophysical Journal 926 (2), 120, 2022 | 44 | 2022 |
| Kernel based detection of mislabeled training examples H Valizadegan, PN Tan Proceedings of the 2007 SIAM International Conference on Data Mining, 309-319, 2007 | 42 | 2007 |
| Fake hands: spoofing hand geometry systems H Chen, H Valizadegan, C Jackson, S Soltysiak, AK Jain Biometric Consortium, 2005 | 31 | 2005 |
| Conditional anomaly detection with soft harmonic functions M Valko, B Kveton, H Valizadegan, GF Cooper, M Hauskrecht 2011 IEEE 11th international conference on data mining, 735-743, 2011 | 30 | 2011 |
| Sample-efficient learning with auxiliary class-label information Q Nguyen, H Valizadegan, A Seybert, M Hauskrecht AMIA Annual Symposium Proceedings 2011, 1004, 2011 | 28 | 2011 |
| Learning to trade off between exploration and exploitation in multiclass bandit prediction H Valizadegan, R Jin, S Wang Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 22 | 2011 |
| A potential-based framework for online multi-class learning with partial feedback S Wang, R Jin, H Valizadegan Proceedings of the Thirteenth International Conference on Artificial …, 2010 | 20 | 2010 |
| System and method for learning a ranking model that optimizes a ranking evaluation metric for ranking search results of a search query R Jin, J Mao, H Valizadegan, R Zhang US Patent App. 12/415,939, 2010 | 19 | 2010 |
| Vascular patterning as integrative readout of complex molecular and physiological signaling by VESsel GENeration analysis M Lagatuz, RJ Vyas, M Predovic, S Lim, N Jacobs, M Martinho, ... Journal of vascular research 58 (4), 207-230, 2021 | 16 | 2021 |
| A probabilistic substructure-based approach for graph classification HDK Moonesinghe, H Valizadegan, S Fodeh, PN Tan 19th IEEE International Conference on Tools with Artificial Intelligence …, 2007 | 12 | 2007 |
Milos HauskrechtProfessor of Computer Science, University of PittsburghVerified email at pitt.edu
