Selected Articles

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Nikunj C. Oza, Ensemble Data Mining Methods, Encyclopedia of Data Warehousing and Mining, April 2005.
Ashok Srivastava, Nikunj C. Oza, and Julienne Stroeve, Virtual Sensors: Using Data Mining to Efficiently Estimate Remote Sensing Spectra, IEEE Transactions on Geosciences and Remote Sensing, Special Issue on Advances in Techniques for Analysis of Remotely Sensed Data, 43(3), pp. 590-600, 2005.
Ashok Srivastava, Nikunj C. Oza, and Julienne Stroeve, Virtual Sensors: Using Data Mining to Efficiently Estimate Spectra, International Geoscience and Remote Sensing Symposium, 2004.
Nikunj C. Oza, AveBoost2: Boosting for Noisy Data, Fifth International Workshop on Multiple Classifier Systems, Cagliari, Italy. 2004.
Ashok Srivastava, Julienne C. Stroeve, and Nikunj C. Oza, Using Kernel Methods to Detect Clouds, Snow, Ice and other Geophysical Processes, Transactions of the American Geophysical Union, 84(46), Fall Meeting Supplement, Abstract C12A08-65, 2003.
Nikunj C. Oza, Boosting with Averaged Weight Vectors , Fourth International Workshop on Multiple Classifier Systems, Guildford, UK. 2003.
Nikunj C. Oza, Kagan Tumer, Irem Y. Tumer, and Edward M. Huff, Classification of Aircraft Maneuvers for Fault Detection ,  Fourth International Workshop on Multiple Classifier Systems, Guildford, UK. 2003.
Kagan Tumer and Nikunj C. Oza, Input Decimated Ensembles , Pattern Analysis and Applications, 6(1):65-77, 2003.
Nikunj C. Oza, Online Ensemble Learning , Ph.D. thesis, University of California, Berkeley, 2001.
 
Nikunj C. Oza and Stuart Russell, Experimental Comparisons of Online and Batch Versions of Bagging and Boosting , The Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, California. 2001.
 
Nikunj C. Oza and Kagan Tumer, Input Decimation Ensembles: Decorrelation through Dimensionality Reduction, Second International Workshop on Multiple Classifier Systems, Cambridge, UK. 2001.
 
Nikunj C. Oza and Stuart Russell, Online Bagging and Boosting , Eighth International Workshop on Artificial Intelligence and Statistics, Key West, Florida. 2001.
 
Nikunj C. Oza, Online Ensemble Learning, Proceedings of the 17th National Conference on Artificial Intelligence, Doctoral Consortium, Austin, TX. 2000.
 
Nikunj C. Oza and Kagan Tumer, Dimensionality Reduction through Classifier Ensembles , Technical Report NASA-ARC-IC-1999-126.
 
Nikunj C. Oza, Probabilistic Models of Driver Behavior, Spatial Cognition Conference, Berkeley, CA. 1999.
 
Kagan Tumer and Nikunj C. Oza, Decimated Input Ensembles for Improved Generalization , International Joint Conference on Neural Networks, Washington, D.C. 1999, Recipient: Best Presentation Award.
 
Nikunj C. Oza, Probabilistic Models of Driver Behavior , M.S. report, UC Berkeley, 1998.
 
Alex Cuthbert, Christopher Stecker, Inna Aleksandrovsky, Sheryl Ehrlich, Nikunj Oza, and Paula Rogers, Instructional Effects on Spatial and Temporal Memory for Videotaped Events in a Large-scale Environment, Nineteenth Annual Conference of the Cognitive Science Society, Stanford, CA. 1997.
 
Jeffrey Forbes, Nikunj Oza, Ronald Parr, Stuart Russell, Feasibility Study of Fully Automated Vehicles Using Decision-Theoretic Control, California PATH Research Report UCB-ITS-PRR-97-18.