Nikunj C. Oza

According to our database1, Nikunj C. Oza
  • authored at least 44 papers between 1999 and 2018.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2018
Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework.
Remote Sensing, 2018

2017
RAPT: Rare Class Prediction in Absence of True Labels.
IEEE Trans. Knowl. Data Eng., 2017

ASK-the-Expert: Active Learning Based Knowledge Discovery Using the Expert.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Finding Precursors to Anomalous Drop in Airspeed During a Flight's Takeoff.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems.
J. Aerospace Inf. Sys., 2016

Semi-Markov Switching Vector Autoregressive Model-based Anomaly Detection in Aviation Systems.
CoRR, 2016

Discovery of Precursors to Adverse Events using Time Series Data.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
Large scale support vector regression for aviation safety.
Proceedings of the 2015 IEEE International Conference on Big Data, 2015

2014
Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms.
J. Aerospace Inf. Sys., 2014

2013
Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams.
IEEE Trans. Knowl. Data Eng., 2013

Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms.
J. Aerospace Inf. Sys., 2013

EventCube: multi-dimensional search and mining of structured and text data.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2011
Efficient Keyword-Based Search for Top-K Cells in Text Cube.
IEEE Trans. Knowl. Data Eng., 2011

Facing the reality of data stream classification: coping with scarcity of labeled data.
Knowl. Inf. Syst., 2011

Sparse Solutions for Single Class SVMs: A Bi-Criterion Approach.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Pseudo-Label Generation for Multi-Label Text Classification.
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

2010
Multiple kernel learning for heterogeneous anomaly detection: algorithm and aviation safety case study.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Fast and Flexible Multivariate Time Series Subsequence Search.
Proceedings of the ICDM 2010, 2010

Multi-label ASRS Dataset Classification Using Semi Supervised Subspace Clustering.
Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010

2009
Ensemble Data Mining Methods.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Classification of Aeronautics System Health and Safety Documents.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2009

Topic modeling for OLAP on multidimensional text databases: topic cube and its applications.
Statistical Analysis and Data Mining, 2009

Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring.
JACIC, 2009

Discriminative Mixed-Membership Models.
Proceedings of the ICDM 2009, 2009

Theoretically Optimal Distributed Anomaly Detection.
Proceedings of the ICDM Workshops 2009, 2009

?-Anomica: A Fast Support Vector Based Novelty Detection Technique.
Proceedings of the ICDM 2009, 2009

2008
Classifier ensembles: Select real-world applications.
Information Fusion, 2008

Applications of ensemble methods.
Information Fusion, 2008

Learning to Improve Earth Observation Flight Planning.
Proceedings of the Semantic Scientific Knowledge Integration, 2008

Learning to Improve Earth Observation Flight Planning.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2005
Virtual sensors: using data mining techniques to efficiently estimate remote sensing spectra.
IEEE Trans. Geoscience and Remote Sensing, 2005

Online bagging and boosting.
Proceedings of the IEEE International Conference on Systems, 2005

Improvements in virtual sensors: using spatial information to estimate remote sensing spectra.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

2004
AveBoost2: Boosting for Noisy Data.
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

2003
Input decimated ensembles.
Pattern Anal. Appl., 2003

Classification of Aircraft Maneuvers for Fault Detection.
Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003

Boosting with Averaged Weight Vectors.
Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003

2001
Input Decimation Ensembles: Decorrelation through Dimensionality Reduction.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

Experimental comparisons of online and batch versions of bagging and boosting.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Online Bagging and Boosting.
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

2000
Online Ensemble Learning.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999
Decimated input ensembles for improved generalization.
Proceedings of the International Joint Conference Neural Networks, 1999


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