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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]