Decimated input ensembles for improved generalization. - Kagan Turner; Nikunj C. Oza (IJCNN, 1999)

Online Ensemble Learning. - Nikunj C. Oza (AAAI/IAAI, 2000)

Online Bagging and Boosting. - Nikunj C. Oza; Stuart Russell 001 (AISTATS, 2001)

Experimental comparisons of online and batch versions of bagging and boosting. - Nikunj C. Oza; Stuart Russell 001 (KDD, 2001)

Input Decimation Ensembles: Decorrelation through Dimensionality Reduction. - Nikunj C. Oza; Kagan Tumer (Multiple Classifier Systems, 2001)

Boosting with Averaged Weight Vectors. - Nikunj C. Oza (Multiple Classifier Systems, 2003)

Classification of Aircraft Maneuvers for Fault Detection. - Nikunj C. Oza; Kagan Tumer; Irem Y. Tumer; Edward M. Huff (Multiple Classifier Systems, 2003)

Input decimated ensembles. - Kagan Tumer; Nikunj C. Oza (Pattern Anal. Appl., 2003)

AveBoost2: Boosting for Noisy Data. - Nikunj C. Oza (Multiple Classifier Systems, 2004)

Improvements in virtual sensors: using spatial information to estimate remote sensing spectra. - Nikunj C. Oza; Ashok N. Srivastava; Julienne C. Stroeve (IGARSS, 2005)

Online bagging and boosting. - Nikunj C. Oza (SMC, 2005)

Virtual sensors: using data mining techniques to efficiently estimate remote sensing spectra. - Ashok N. Srivastava; Nikunj C. Oza; Julienne C. Stroeve (IEEE Trans. Geosci. Remote. Sens., 2005)

Learning to Improve Earth Observation Flight Planning. - Robert A. Morris 001; Nikunj C. Oza; Leslie Keely; Elif Kürklü; Anthony Strawa (AAAI, 2008)

Learning to Improve Earth Observation Flight Planning. - Robert A. Morris 001; Nikunj C. Oza; Leslie Keely; Elif Kürklü (AAAI Spring Symposium: Semantic Scientific Knowledge Integration, 2008)

Applications of ensemble methods. - Nikunj C. Oza; Kagan Tumer (Inf. Fusion, 2008)

Classifier ensembles: Select real-world applications. - Nikunj C. Oza; Kagan Tumer (Inf. Fusion, 2008)

?-Anomica: A Fast Support Vector Based Novelty Detection Technique. - Santanu Das; Kanishka Bhaduri; Nikunj C. Oza; Ashok N. Srivastava (ICDM, 2009)

Theoretically Optimal Distributed Anomaly Detection. - Aleksandar Lazarevic; Nisheeth Srivastava; Ashutosh Tiwari; Josh Isom; Nikunj C. Oza; Jaideep Srivastava (ICDM Workshops, 2009)

Discriminative Mixed-Membership Models. - Hanhuai Shan; Arindam Banerjee 001; Nikunj C. Oza (ICDM, 2009)

Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring. - Mark Schwabacher; Nikunj C. Oza; Bryan L. Matthews (J. Aerosp. Comput. Inf. Commun., 2009)

Topic modeling for OLAP on multidimensional text databases: topic cube and its applications. - Duo Zhang 001; ChengXiang Zhai; Jiawei Han 001; Ashok N. Srivastava; Nikunj C. Oza (Stat. Anal. Data Min., 2009)

Classification of Aeronautics System Health and Safety Documents. - Nikunj C. Oza; J. Patrick Castle; John C. Stutz (IEEE Trans. Syst. Man Cybern. Part C, 2009)

Ensemble Data Mining Methods. - Nikunj C. Oza (Encyclopedia of Data Warehousing and Mining, 2009)

Multi-label ASRS Dataset Classification Using Semi Supervised Subspace Clustering. - Mohammad Salim Ahmed; Latifur Khan; Nikunj C. Oza; Mandava Rajeswari (CIDU, 2010)

Fast and Flexible Multivariate Time Series Subsequence Search. - Kanishka Bhaduri; Qiang Zhu 002; Nikunj C. Oza; Ashok N. Srivastava (ICDM, 2010)

Multiple kernel learning for heterogeneous anomaly detection: algorithm and aviation safety case study. - Santanu Das; Bryan L. Matthews; Ashok N. Srivastava; Nikunj C. Oza (KDD, 2010)

Pseudo-Label Generation for Multi-Label Text Classification. - Mohammad Salim Ahmed; Latifur Khan; Nikunj C. Oza (CIDU, 2011)

Sparse Solutions for Single Class SVMs: A Bi-Criterion Approach. - Santanu Das; Nikunj C. Oza (SDM, 2011)

Facing the reality of data stream classification: coping with scarcity of labeled data. - Mohammad M. Masud 001; Clay Woolam; Jing Gao 004; Latifur Khan; Jiawei Han 001; Kevin W. Hamlen; Nikunj C. Oza (Knowl. Inf. Syst., 2011)

Efficient Keyword-Based Search for Top-K Cells in Text Cube. - Bolin Ding; Bo Zhao 001; Cindy Xide Lin; Jiawei Han 001; Chengxiang Zhai; Ashok N. Srivastava; Nikunj C. Oza (IEEE Trans. Knowl. Data Eng., 2011)

EventCube: multi-dimensional search and mining of structured and text data. - Fangbo Tao; Kin Hou Lei; Jiawei Han 001; Chengxiang Zhai; Xiao Cheng; Marina Danilevsky; Nihit Desai; Bolin Ding; Jing Ge; Heng Ji 001; Rucha Kanade; Anne Kao; et al. (KDD, 2013)

Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams. - Mohammad M. Masud 001; Qing Chen; Latifur Khan; Charu C. Aggarwal; Jing Gao 004; Jiawei Han 001; Ashok Srivastava; Nikunj C. Oza (IEEE Trans. Knowl. Data Eng., 2013)

Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms. - Bryan L. Matthews; Santanu Das; Kanishka Bhaduri; Kamalika Das; Rodney Martin; Nikunj C. Oza (J. Aerosp. Inf. Syst., 2014)

Large scale support vector regression for aviation safety. - Kamalika Das; Kanishka Bhaduri; Bryan L. Matthews; Nikunj C. Oza (IEEE BigData, 2015)

Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems. - Igor Melnyk; Arindam Banerjee 001; Bryan L. Matthews; Nikunj C. Oza (KDD, 2016)

Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation. - Manali Sharma; Kamalika Das; Mustafa Bilgic 001; Bryan L. Matthews; David Nielsen; Nikunj C. Oza (ECML/PKDD (3), 2016)

Discovery of Precursors to Adverse Events using Time Series Data. - Vijay Manikandan Janakiraman; Bryan L. Matthews; Nikunj C. Oza (SDM, 2016)

Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems. - Igor Melnyk; Bryan L. Matthews; Hamed Valizadegan; Arindam Banerjee 001; Nikunj C. Oza (J. Aerosp. Inf. Syst., 2016)

Finding Precursors to Anomalous Drop in Airspeed During a Flight's Takeoff. - Vijay Manikandan Janakiraman; Bryan L. Matthews; Nikunj C. Oza (KDD, 2017)

ASK-the-Expert: Active Learning Based Knowledge Discovery Using the Expert. - Kamalika Das; Ilya Avrekh; Bryan L. Matthews; Manali Sharma; Nikunj C. Oza (ECML/PKDD (3), 2017)

RAPT: Rare Class Prediction in Absence of True Labels. - Varun Mithal; Guruprasad Nayak; Ankush Khandelwal; Vipin Kumar 001; Nikunj C. Oza; Ramakrishna R. Nemani (IEEE Trans. Knowl. Data Eng., 2017)

Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework. - Varun Mithal; Guruprasad Nayak; Ankush Khandelwal; Vipin Kumar 001; Ramakrishna R. Nemani; Nikunj C. Oza (Remote. Sens., 2018)

Better Boosting with Bandits for Online Learning. - Nikolaos Nikolaou; Joseph C. Mellor; Nikunj C. Oza; Gavin Brown 001 (CoRR, 2020)

ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier to Mine Exoplanets. - Hamed Valizadegan; Miguel J. S. Martinho; Laurent S. Wilkens; Jon M. Jenkins; Jeffrey Smith; Douglas A. Caldwell; Joseph D. Twicken; Pedro C. Gerum; Nikash Walia; Kaylie Hausknecht; Noa Y. Lubin; Stephen T. Bryson; et al. (CoRR, 2021)

Human Interfaces and Management of Information (HIMI) Challenges for "In-Time" Aviation Safety Management Systems (IASMS). - Lawrence J. Prinzel; Paul Krois; Kyle K. Ellis; Nikunj C. Oza; Robert W. Mah; Chad L. Stephens; Misty D. Davies; Samantha I. Infeld (HCI (5), 2022)

Deep Transfer Learning on Satellite Imagery Improves Air Quality Estimates in Developing Nations. - Nishant Yadav; Meytar Sorek-Hamer; Michael Von Pohle; Ata Akbari Asanjan; Adwait Sahasrabhojanee; Esra Suel; Raphael Arku; Violet Lingenfelter; Michael Brauer; Majid Ezzati; Nikunj C. Oza; Auroop R. Ganguly (CoRR, 2022)

What You See Is What You Breathe? Estimating Air Pollution Spatial Variation Using Street-Level Imagery. - Esra Suel; Meytar Sorek-Hamer; Izabela Moise; Michael Von Pohle; Adwait Sahasrabhojanee; Ata Akbari Asanjan; Raphael Arku; Abosede S. Alli; Benjamin Barratt; Sierra N. Clark; Ariane Middel; Emily Deardorff; et al. (Remote. Sens., 2022)