Nikunj Oza's Publications

• Sorted by Date • Classified by Publication Type • Classified by Research Category •

Classified by Research Category

• Ensemble Learning • Remote Sensing • Fault Detection • Planning and Data Mining • Unspecified •

Ensemble Learning

• Key Real-World Applications of Classifier Ensembles. Nikunj C. Oza and Kagan Tumer. Information Fusion, Special Issue on Applications of Ensemble Methods, 9(1):4–20, 2008.
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• Ensemble Data Mining Methods. Nikunj C. Oza. In Encyclopedia of Data Warehousing and Mining, pp. 448–453, Idea Group Reference, 2006.
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• Sixth International Workshop on Multiple Classifier Systems, Nikunj C. Oza, Robi Polikar, Josef Kittler, and Fabio Roli, editors. Springer-Verlag, Heidelberg, 2005.
  Available from the publisher's website.
  ISBN 3-540-26306-3
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• Online Bagging and Boosting. Nikunj C. Oza. In International Conference on Systems, Man, and Cybernetics, Special Session on Ensemble Methods for Extreme Environments, pp. 2340–2345, Institute for Electrical and Electronics Engineers, New Jersey, October 2005.
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• AveBoost2: Boosting for Noisy Data. Nikunj C. Oza. In Fifth International Workshop on Multiple Classifier Systems, pp. 31–40, Springer-Verlag, Cagliari, Italy, June 2004.
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• Boosting with Averaged Weight Vectors. Nikunj C. Oza. In Fourth International Workshop on Multiple Classifier Systems, pp. 15–24, Springer-Verlag, Guildford, UK, June 2003.
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• Classification of Aircraft Maneuvers for Fault Detection. Nikunj C. Oza, Irem Y. Tumer, Kagan Tumer, and Edward Huff. In Proceedings of the Fourth International Workshop on Multiple Classifier Systems, pp. 375–384, Springer=Verlag, Surrey, UK, June 2003.
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• Input Decimated Ensembles. K. Tumer and N. C. Oza. Pattern Analysis and Applications, 6(1):65–77, 2003.
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• Experimental Comparisons of Online and Batch Versions of Bagging and Boosting. Nikunj C. Oza and Stuart Russell. In The Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 359–364, Morgan Kaufmann, San Francisco, California. USA, August 2001.
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• Input Decimated Ensembles: Decorrelation through Dimensionality Reduction. Nikunj C. Oza and Kagan Tumer. In Proceedings of the Second International Workshop on Multiple Classifier Systems, pp. 238–249, Springe-Verlagr, Cambridge, UK, June 2001.
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• Online Bagging and Boosting. Nikunj C. Oza and Stuart Russell. In Eighth International Workshop on Artificial Intelligence and Statistics, pp. 105–112, Morgan Kaufmann, Key West, Florida. USA, January 2001.
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• Online Ensemble Learning. Nikunj C. Oza. Ph.D. Thesis, The University of California, Berkeley, CA, 2001.
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• Online Ensemble Learning. Nikunj C. Oza. In Doctoral Consortium, 17th National Conference on Artificial Intelligence, pp. 1109, Austin, TX. USA, July 2000.
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• Decimated Input Ensembles for Improved Generalization. Kagan Tumer and Nikunj C. Oza. In Proceedings of the International Joint Conference on Neural Networks, Washington, D.C., July 1999.
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Remote Sensing

• Virtual Sensors: Using Data Mining to Efficiently Estimate Spectra. Ashok N. Srivastava, Nikunj C. Oza, and Julienne Stroeve. IEEE Transactions on Geosciences and Remote Sensing, Special Issue on Advances in Techniques for Analysis of Remotely Sensed Data, 43(3):590–600, 2005.
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• Improvements in Virtual Sensors: Using Spatial Information to Estimate Remote Sensing Spectra. Nikunj C. Oza, Ashok N. Srivastava, and Julienne Stroeve. In Proceedings of the International Geoscience and Remote Sensing Symposium, Institute for Electrical and Electronics Engineers, New Jersey, July 2005.
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• Virtual Sensors: Using Data Mining to Efficiently Estimate Spectra. Ashok N. Srivastava, Nikunj C. Oza, and Julienne Stroeve. In Proceedings of the International Geoscience and Remote Sensing Symposium, IEEE, Anchorage, Alaska, USA, September 2004.
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• Knowledge Driven Image Mining with Mixture Density Mercer Kernels. Ashok N. Srivastava and Nikunj C. Oza. In ESA-EUSC 2004: Workshop on the Theory and Applications of Knowledge Driven Image Information Mining with focus on Earth Observation, pp. , Madrid, Spain, October 2004.
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• Using Kernel Methods to Detect Clouds, Snow, Ice and other Geophysical Processes. Ashok Srivastava, Julienne C. Stroeve, and Nikunj C. Oza. In Transactions of the American Geophysical Union, Fall Meeting Supplement, pp. C12A08–65, , , June 2003.
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Fault Detection

• Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring. Mark Schwabacher, Nikunj C. Oza, and Bryan Matthews. In AIAA Infotech@Aerospace Conference, 2007.
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• Comparison of Unsupervised Anomaly Detection Methods for Systems Health Management Using Space Shuttle Main Engine Data. Rodney A. Martin, Mark Schwabacher, Nikunj C. Oza, and Ashok N. Srivastava. In JANNAF Propulsion Meeting, 2007.
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• Machine Learning for Detecting and Locating Damage in a Rotating Gear (Winner: Arch T. Colwell Technical Merit Award (one of 5 papers chosen from among 3300 published at SAE conferences in 2005). Upender K. Kaul and Nikunj C. Oza. In World Aerospace Congress, Dallas, TX. USA, October 2005.
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• Machine Learning for Fault Detection in a Rotating Gear. Nikunj C. Oza and Upender K. Kaul. In World Aerospace Congress, Dallas, TX. USA, October 2005.
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Planning and Data Mining

• Learning Points of Interest for Observation Flight Planning Optimization: A Preliminary Report. Elif Kurklu, Robert M. Morris, and Nikunj C. Oza. In Workshop on AI Planning and Learning, International Conference on Automated Planning and Scheduling (ICAPS), September 2007.
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Unspecified

• Diagnostic Technology Evaluation Report For On-Board Crew Launch Vehicle. Sandra Hayden, Nikunj Oza, Robert Mah, Ryan Mackey, Sriram Narasimhan, Gabor Karsai, Scott Poll, Somnath Deb, and Mark Shirley. Technical Report NASA-TM-2006-214552, National Aeronautics and Space Administration, 2006.
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• Dimensionality Reduction through Classifier Ensembles. Nikunj C. Oza and Kagan Tumer. Technical Report NASA-ARC-IC-1999-124, National Aeronautics and Space Administration, 1999.
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• Probabilistic Models of Driver Behavior, Nikunj C. Oza, Master's Thesis
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• Instructional Effects on Spatial and Temporal Memory for Videotaped Events in a Large-scale Environment. Alex Cuthbert, Christopher Stecker, Inna Aleksandrovsky, Sheryl Ehrlich, Nikunj Oza, and Paula Rogers. In Nineteenth Annual Conference of the Cognitive Science Society, Stanford, CA. USA, July 1997.
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