Nikunj Oza
Title
Cited by
Cited by
Year
Online bagging and boosting
NC Oza, SJ Russell
International Workshop on Artificial Intelligence and Statistics, 229-236, 2001
10082001
Classifier ensembles: Select real-world applications
NC Oza, K Tumer
Information fusion 9 (1), 4-20, 2008
3592008
Experimental comparisons of online and batch versions of bagging and boosting
NC Oza, S Russell
Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001
2572001
Online ensemble learning
NC Oza, S Russell
University of California, Berkeley, 2001
2542001
Multiple kernel learning for heterogeneous anomaly detection: algorithm and aviation safety case study
S Das, BL Matthews, AN Srivastava, NC Oza
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
2022010
Classification and adaptive novel class detection of feature-evolving data streams
MM Masud, Q Chen, L Khan, CC Aggarwal, J Gao, J Han, A Srivastava, ...
IEEE Transactions on Knowledge and Data Engineering 25 (7), 1484-1497, 2012
1362012
Facing the reality of data stream classification: coping with scarcity of labeled data
MM Masud, C Woolam, J Gao, L Khan, J Han, KW Hamlen, NC Oza
Knowledge and information systems 33 (1), 213-244, 2012
1332012
Input decimation ensembles: Decorrelation through dimensionality reduction
NC Oza, K Tumer
International Workshop on Multiple Classifier Systems, 238-247, 2001
1222001
Input decimated ensembles
K Tumer, NC Oza
Pattern Analysis & Applications 6 (1), 65-77, 2003
1052003
Boosting with averaged weight vectors
NC Oza
International Workshop on Multiple Classifier Systems, 15-24, 2003
722003
Decimated input ensembles for improved generalization
K Turner, NC Oza
IJCNN'99. International Joint Conference on Neural Networks. Proceedings …, 1999
681999
Topic modeling for OLAP on multidimensional text databases: topic cube and its applications
D Zhang, CX Zhai, J Han, A Srivastava, N Oza
Statistical Analysis and Data Mining: The ASA Data Science Journal 2 (5‐6 …, 2009
582009
Discovering anomalous aviation safety events using scalable data mining algorithms
B Matthews, S Das, K Bhaduri, K Das, R Martin, N Oza
Journal of Aerospace Information Systems 10 (10), 467-475, 2013
572013
Aveboost2: Boosting for noisy data
NC Oza
International Workshop on Multiple Classifier Systems, 31-40, 2004
542004
Unsupervised anomaly detection for liquid-fueled rocket propulsion health monitoring
M Schwabacher, N Oza, B Matthews
Journal of aerospace computing, information, and communication 6 (7), 464-482, 2009
532009
Multiple classifier systems
NC Oza, R Polikar, J Kittler, F Roli
512005
Virtual sensors: Using data mining techniques to efficiently estimate remote sensing spectra
AN Srivastava, NC Oza, J Stroeve
IEEE Transactions on Geoscience and Remote Sensing 43 (3), 590-600, 2005
492005
Classification of aeronautics system health and safety documents
N Oza, JP Castle, J Stutz
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2009
472009
Eventcube: multi-dimensional search and mining of structured and text data
F Tao, KH Lei, J Han, CX Zhai, X Cheng, M Danilevsky, N Desai, B Ding, ...
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
352013
Dimensionality reduction through classifier ensembles
NC Oza, K Tumer
Technical Report, 1999
321999
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