Nikunj Oza
Cited by
Cited by
Online bagging and boosting
NC Oza, SJ Russell
International Workshop on Artificial Intelligence and Statistics, 229-236, 2001
Classifier ensembles: Select real-world applications
NC Oza, K Tumer
Information fusion 9 (1), 4-20, 2008
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
Online ensemble learning
NC Oza, S Russell
University of California, Berkeley, 2001
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
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, 213-244, 2012
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
Input decimation ensembles: Decorrelation through dimensionality reduction
NC Oza, K Tumer
International Workshop on Multiple Classifier Systems, 238-247, 2001
Input decimated ensembles
K Tumer, NC Oza
Pattern Analysis & Applications 6, 65-77, 2003
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
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
Boosting with averaged weight vectors
NC Oza
International Workshop on Multiple Classifier Systems, 15-24, 2003
Decimated input ensembles for improved generalization
K Turner, NC Oza
IJCNN'99. International Joint Conference on Neural Networks. Proceedings …, 1999
Multiple classifier systems
NC Oza, R Polikar, J Kittler, F Roli
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
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
Aveboost2: Boosting for noisy data
NC Oza
International Workshop on Multiple Classifier Systems, 31-40, 2004
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
Outlook for exploiting artificial intelligence in the earth and environmental sciences
SA Boukabara, V Krasnopolsky, SG Penny, JQ Stewart, A McGovern, ...
Bulletin of the American Meteorological Society, 1-53, 2020
Semi-Markov switching vector autoregressive model-based anomaly detection in aviation systems
I Melnyk, A Banerjee, B Matthews, N Oza
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
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