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Nikunj C. Oza: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Nikunj C. Oza
    Online Ensemble Learning. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:1109- [Conf]
  2. Nikunj C. Oza, Stuart J. Russell
    Experimental comparisons of online and batch versions of bagging and boosting. [Citation Graph (0, 0)][DBLP]
    KDD, 2001, pp:359-364 [Conf]
  3. Nikunj C. Oza
    Boosting with Averaged Weight Vectors. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2003, pp:15-24 [Conf]
  4. Nikunj C. Oza
    AveBoost2: Boosting for Noisy Data. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2004, pp:31-40 [Conf]
  5. Nikunj C. Oza, Kagan Tumer
    Input Decimation Ensembles: Decorrelation through Dimensionality Reduction. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2001, pp:238-247 [Conf]
  6. Nikunj C. Oza, Kagan Tumer, Irem Y. Tumer, Edward M. Huff
    Classification of Aircraft Maneuvers for Fault Detection. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2003, pp:375-384 [Conf]
  7. Kagan Tumer, Nikunj C. Oza
    Input decimated ensembles. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2003, v:6, n:1, pp:65-77 [Journal]

  8. Learning to Improve Earth Observation Flight Planning. [Citation Graph (, )][DBLP]

  9. ?-Anomica: A Fast Support Vector Based Novelty Detection Technique. [Citation Graph (, )][DBLP]

  10. Discriminative Mixed-Membership Models. [Citation Graph (, )][DBLP]

  11. Theoretically Optimal Distributed Anomaly Detection. [Citation Graph (, )][DBLP]

  12. Multiple kernel learning for heterogeneous anomaly detection: algorithm and aviation safety case study. [Citation Graph (, )][DBLP]

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