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Nikunj C. Oza: Publications Sorted by Date

Nikunj Oza's Publications

Sorted by DateClassified by Publication TypeClassified by Research Category

Sorted by Date

2010200920082007200620052004200320012000199919981997


2010

  • 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.
    Details     Download: [pdf] (3.2MB )  
  • Multi-label ASRS Dataset Classification Using Semi Supervised Subspace Clustering. Mohammad Salim Ahmed, Latifur Khan, Nikunj C. Oza, and Mandava Rajeswari. In Conference on Intelligent Data Understanding (CIDU-2010), October 2010.
    Details     Download: [pdf] (533.1kB )  
  • Fast and Flexible Multivariate Time Series Subsequence Search. Kanishka Bhaduri, Qiang Zhu, Nikunj C. Oza, and Ashok N. Srivastava. In IEEE International Conference on Data Mining (ICDM-2010), December 2010.
    Details     Download: [pdf] (437.7kB )  
  • Multiple Kernel Learning for Heterogeneous Anomaly Detection. Santanu Das, Bryan L. Matthews, Ashok N. Srivastava, and Nikunj C. Oza. In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2010), July 2010.
    Details     Download: [pdf] (934.4kB )  

2009

  • Discriminative Mixed-membership Models. Hanhuai Shan, Arindam Banerjee, and Nikunj Oza. In Proceedings of the IEEE International Conference on Data Mining (ICDM), 2009.
    Details     Download: [pdf] (164.8kB )  
  • 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.
    Details     Download: [pdf] (678.1kB )  
  • Ensemble Data Mining Methods. Nikunj C. Oza. In Encyclopedia of Data Warehousing and Mining, Second Edition, pp. 770–785, IGI-Global, 2009.
    Details     Download:

    (unavailable)

  • 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.
    Details     Download: [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.
    Details     Download: [pdf] (562.8kB )  
  • 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.
    Details     Download:

    (unavailable)

  • 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.
    Details     Download: [pdf] (1.2MB )  
  • 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.
    Details     Download: [pdf] (1.2MB )  

2008

  • 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.
    Details     Download: [pdf] (361.5kB )  
  • 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.
    Details     Download: [pdf] (130.9kB )  
  • 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.
    Details     Download: [pdf] (251.1kB )  
  • 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.
    Details     Download:

    (unavailable)

2007

  • 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.
    Details     Download: [pdf] (126.1kB )  
  • 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     Download: [pdf] (770.3kB )  
  • 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.
    Details     Download: [pdf] (549.5kB )  

2006

  • 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.
    Details     Download:

    (unavailable)

  • Ensemble Data Mining Methods. Nikunj C. Oza. In Encyclopedia of Data Warehousing and Mining, pp. 448–453, Idea Group Reference, 2006.
    Details     Download: [pdf] (220.4kB )  

2005

  • 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     Download:

    (unavailable)

  • 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
    Details     Download:

    (unavailable)

  • 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.
    Details     Download: [pdf] (511.7kB )  
  • 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     Download:

    (unavailable)

  • 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.
    Details     Download: [pdf] (3.6MB )  
  • 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.
    Details     Download: [pdf] (73.8kB )  

2004

  • 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.
    Details     Download: [pdf] (211.6kB )  
  • 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.
    Details     Download:

    (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.
    Details     Download:

    (unavailable)

2003

  • 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.
    Details     Download:

    (unavailable)

  • 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.
    Details     Download: [pdf] (257.7kB )  
  • 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.
    Details     Download:

    (unavailable)

  • Input Decimated Ensembles. K. Tumer and N. C. Oza. Pattern Analysis and Applications, 6(1):65–77, 2003.
    Details     Download: [pdf] (360.6kB )  

2001

  • 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.
    Details     Download: [pdf] (162.4kB )  
  • 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.
    Details     Download: [pdf] (181.5kB )  
  • 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.
    Details     Download: [pdf] (211.9kB )  
  • Online Ensemble Learning. Nikunj C. Oza. Ph.D. Thesis, The University of California, Berkeley, CA, 2001.
    Details     Download: [pdf] (659.7kB )  

2000

  • Online Ensemble Learning. Nikunj C. Oza. In Doctoral Consortium, 17th National Conference on Artificial Intelligence, pp. 1109, Austin, TX. USA, July 2000.
    Details     Download: [pdf] (58.0kB )  

1999

1998

1997

  • 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.
    Details     Download:

    (unavailable)


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