Nikunj Oza's Publications
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Book
- 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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(unavailable)
Journal Article
- Classification of Aeronautics System Health and Safety Documents. Nikunj
C. Oza, J. Patrick Castle, and John Stutz. IEEE Transactions on Systems, Man, and Cybernetics, Part C, 39(6):670–680,
2009.
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[pdf]
(678.1kB
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- Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring. Mark Schwabacher, Nikunj
C. Oza, and Bryan Matthews. AIAA Journal of Aerospace Computing, Information, and Communication (to appear), 6(7):464–482,
2009.
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[pdf]
(1.2MB
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- Topic Modeling for OLAP on Multidimensional Text Databases: Topic Cube and its Applications. Duo Zhang, ChenXiang Zhai,
Jiawei Han, Nikunj C. Oza, and Ashok
Srivastava. Statistical Analysis and Data Mining, Special Issue on the Best Papers of SDM'09 (to appear), 2(5-6):378–395,
2009.
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[pdf]
(1.2MB
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- 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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[pdf]
(251.1kB
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- 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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[pdf]
(3.6MB
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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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[pdf]
(360.6kB
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Book Chapter
- Ensemble Data Mining Methods. Nikunj C. Oza. In Encyclopedia of
Data Warehousing and Mining, Second Edition, pp. 770–785, IGI-Global, 2009.
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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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[pdf]
(220.4kB
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Refereed Conference
- Propulsion Health Monitoring of a Turbing Engine Disk using Spin Test Data. Ali Abdul-Aziz, Mark Woike, Nikunj Oza,
Bryan Matthews, and George Baaklini. In Smart Structures and Materials and Nondestructive Evaluation and Health Monitoring:
17th Annual International Symposium, March 2010.
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[pdf]
(3.2MB
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- Discriminative Mixed-membership Models. Hanhuai Shan, Arindam Banerjee, and Nikunj
Oza. In Proceedings of the IEEE International Conference on Data Mining (ICDM), 2009.
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(164.8kB
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- nu-Anomica: A Fast Support Vector Based Anomaly Detection Technique. Santanu Das, Kanishka Bhaduri, Nikunj Oza, and
Ashok Srivastava. In Proceedings of the IEEE International Conference
on Data Mining (ICDM), 2009.
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[pdf]
(246.9kB
)
- Theoretically Optimal Distributed Anomaly Detection. Aleksander Lazarevic, Nisheeth Srivastava, Ashutosh Tewari, Josh
Isom, Nikunj Oza, and Jaideep Srivastava. In Proceedings of the
IEEE International Conference on Data Mining (ICDM), Workshop on Mining on Mining Multiple Information Sources., 2009.
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[pdf]
(562.8kB
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- Learning to Improve Earth Observation Flight Planning. Robert M. Morris, Nikunj C. Oza, Leslie Keely, Elif Kurklu,
and Anthony Strawa. In 20th Conference on Innovative Applications of Artificial Intelligence (IAAI-08), July 2008.
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(361.5kB
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- Machine Learning for Earth Observation Flight Planning Optimization. Elif Kurklu, Robert M. Morris, and Nikunj
C. Oza. In AAAI Spring Symposium Series, Workshop on Semantic Scientific Knowledge Integration, March 2008.
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(130.9kB
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- Learning Points of Interest for Observation Flight Planning Optimization. Robert M. Morris, Nikunj C. Oza, and Elif
Kurklu. In 9th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS08), February
2008.
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- 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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(126.1kB
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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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(511.7kB
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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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[pdf]
(73.8kB
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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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[pdf]
(211.6kB
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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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(unavailable)
- 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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[pdf]
(257.7kB
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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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- 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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(162.4kB
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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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(181.5kB
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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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(211.9kB
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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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(171.8kB
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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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Workshop/Symposium
- Detecting Anomalies in Multivariate Data Sets with Switching Sequences and Continuous Streams. Santanu Das, Bryan Matthews,
Kanishka Bhaduri, Nikunj Oza, and Ashok Srivastava. In Understanding
Multiple Kernel Learning Methods, Workshop at the Twenty-Third Annual Conference on Neural Information Processing Systems
(NIPS 2009), 2009.
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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.
Details
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(unavailable)
- 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.
Details
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(unavailable)
- 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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- 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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[pdf]
(58.0kB
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Other Conference
- Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring. Mark Schwabacher, Nikunj C. Oza,
and Bryan Matthews. In AIAA Infotech@Aerospace Conference, 2007.
Details
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[pdf]
(770.3kB
)
Other
Unspecified
- 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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[pdf]
(549.5kB
)
- 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.
Details
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[pdf]
(306.6kB
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