- Online Ensemble Learning Nikunj C. Oza
- Smart Structures and Materials & Nondestructive Evaluation and Health Monitoring; 17th Annual International symposium, 7-11 March 2010; San Diego, California USA
- Probabilistic Models of Driver Behavior Nikunj C. Oza
- MANUSCRIPT SUBMISSION FOR IEEE TRANSACTIONS ON GEOSCIENCES AND REMOTE SENSING 1 Virtual Sensors: Using Data Mining Techniques to
- Fast and Flexible Multivariate Time Series Subsequence Search Kanishka Bhaduri
- Ensemble Data Mining Methods Nikunj C. Oza, Ph.D., NASA Ames Research Center, USA
- JOURNAL OF AEROSPACE COMPUTING, INFORMATION, AND COMMUNICATION Vol. 6, July 2009
- Decimated Input Ensembles for Improved Generalization Kagan Tumer, NASA Ames Research Center, Caelum Research, Mo ett Field, CA
- Learning Points of Interest for Observation Flight Planning Optimization: A Preliminary Report
- Classification of Aeronautics System Health and Safety Documents
- Machine Learning for Earth Observation Flight Planning Optimization Elif Kurklu1,2
- -Anomica: A Fast Support Vector based Novelty Detection Technique Santanu Das, Kanishka Bhaduri, Nikunj C. Oza and Ashok N. Srivastava
- Topic Modeling for OLAP on Multidimensional Text Databases: Topic Cube and its Applications
- MULTI-LABEL ASRS DATASET CLASSIFICATION USING SEMI-SUPERVISED SUBSPACE CLUSTERING
- Multiple Kernel Learning for Heterogeneous Anomaly Detection: Algorithm and Aviation Safety Case Study
- Theoretically optimal distributed anomaly detection Aleksandar Lazarevic, Nisheeth Srivastava, Ashutosh Tiwari, Josh Isom
- Learning to Improve Earth Observation Flight Planning Robert A. Morris2
- Distribution Statement A: Approved for public release; distribution is unlimited *This effort was supported by the Liquid Propulsion portion of NASA's Integrated System Health Management project within the Exploration
- Online Bagging and Boosting Nikunj C. Oza
- Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring
- Classifier Ensembles: Select Real-World Applications
- Online Ensemble Learning Nikunj Chandrakant Oza
- Improvements in Virtual Sensors: Using Spatial Information to Estimate Remote Sensing Spectra
