| Online bagging and boosting NC Oza 2005 IEEE international conference on systems, man and cybernetics 3, 2340-2345, 2005 | 952 | 2005 |
| Classifier ensembles: Select real-world applications NC Oza, K Tumer Information fusion 9 (1), 4-20, 2008 | 335 | 2008 |
| Online ensemble learning NC Oza, S Russell University of California, Berkeley, 2001 | 251 | 2001 |
| Experimental comparisons of online and batch versions of bagging and boosting NC Oza, S Russell Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001 | 246 | 2001 |
| Multiple kernel learning for heterogeneous anomaly detection: algorithm and aviation safety case study S Das, BL Matthews, AN Srivastava, NC Oza Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 195 | 2010 |
| Classification and adaptive novel class detection of feature-evolving data streams MM Masud, Q Chen, L Khan, CC Aggarwal, J Gao, J Han, A Srivastava, ... IEEE Transactions on Knowledge and Data Engineering 25 (7), 1484-1497, 2012 | 129 | 2012 |
| Facing the reality of data stream classification: coping with scarcity of labeled data MM Masud, C Woolam, J Gao, L Khan, J Han, KW Hamlen, NC Oza Knowledge and information systems 33 (1), 213-244, 2012 | 125 | 2012 |
| Input decimation ensembles: Decorrelation through dimensionality reduction NC Oza, K Tumer International Workshop on Multiple Classifier Systems, 238-247, 2001 | 121 | 2001 |
| Input decimated ensembles K Tumer, NC Oza Pattern Analysis & Applications 6 (1), 65-77, 2003 | 105 | 2003 |
| Boosting with averaged weight vectors NC Oza International Workshop on Multiple Classifier Systems, 15-24, 2003 | 72 | 2003 |
| Decimated input ensembles for improved generalization K Turner, NC Oza IJCNN'99. International Joint Conference on Neural Networks. Proceedings …, 1999 | 66 | 1999 |
| Discovering anomalous aviation safety events using scalable data mining algorithms B Matthews, S Das, K Bhaduri, K Das, R Martin, N Oza Journal of Aerospace Information Systems 10 (10), 467-475, 2013 | 55 | 2013 |
| Topic modeling for OLAP on multidimensional text databases: topic cube and its applications D Zhang, CX Zhai, J Han, A Srivastava, N Oza Statistical Analysis and Data Mining: The ASA Data Science Journal 2 (5‐6 …, 2009 | 55 | 2009 |
| Aveboost2: Boosting for noisy data NC Oza International Workshop on Multiple Classifier Systems, 31-40, 2004 | 53 | 2004 |
| Unsupervised anomaly detection for liquid-fueled rocket propulsion health monitoring M Schwabacher, N Oza, B Matthews Journal of aerospace computing, information, and communication 6 (7), 464-482, 2009 | 49 | 2009 |
| Classification of aeronautics system health and safety documents N Oza, JP Castle, J Stutz IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2009 | 46 | 2009 |
| Virtual sensors: Using data mining techniques to efficiently estimate remote sensing spectra AN Srivastava, NC Oza, J Stroeve IEEE Transactions on Geoscience and Remote Sensing 43 (3), 590-600, 2005 | 46 | 2005 |
| Multiple classifier systems NC Oza, R Polikar, J Kittler, F Roli | 44 | 2005 |
| EventCube: multi-dimensional search and mining of structured and text data F Tao, KH Lei, J Han, CX Zhai, X Cheng, M Danilevsky, N Desai, B Ding, ... Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 34 | 2013 |
| Dimensionality reduction through classifier ensembles NC Oza, K Tumer Technical Report, 1999 | 32 | 1999 |
