Nikunj C. Oza

51 papers A* 9A 3B 2C 1Journal 21Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Improving Variational Autoencoder using Random Fourier Transformation: An Aviation Safety Anomaly Detection Case-Study.
CoRR
Ata Akbari Asanjan, Milad Memarzadeh, Bryan L. Matthews, Nikunj C. Oza
2022 J jnl
Deep Transfer Learning on Satellite Imagery Improves Air Quality Estimates in Developing Nations.
CoRR
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
2022 — conf
Human Interfaces and Management of Information (HIMI) Challenges for "In-Time" Aviation Safety Management Systems (IASMS).
HCI (5)
Lawrence J. Prinzel, Paul Krois, Kyle K. Ellis, Nikunj C. Oza, Robert W. Mah, Chad L. Stephens, Misty D. Davies, Samantha I. Infeld
2022 J jnl
What You See Is What You Breathe? Estimating Air Pollution Spatial Variation Using Street-Level Imagery.
Remote. Sens.
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, Violet Lingenfelter, Nikunj C. Oza, Nishant Yadav, Majid Ezzati, Michael Brauer
2021 J jnl
ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier to Mine Exoplanets.
CoRR
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, Nikunj C. Oza
2020 J jnl
Better Boosting with Bandits for Online Learning.
CoRR
Nikolaos Nikolaou, Joseph C. Mellor, Nikunj C. Oza, Gavin Brown
2018 J jnl
Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework.
Remote. Sens.
Varun Mithal, Guruprasad Nayak, Ankush Khandelwal, Vipin Kumar, Ramakrishna R. Nemani, Nikunj C. Oza
2017 — conf
ASK-the-Expert: Active Learning Based Knowledge Discovery Using the Expert.
ECML/PKDD (3)
Kamalika Das, Ilya Avrekh, Bryan L. Matthews, Manali Sharma, Nikunj C. Oza
2017 A* conf
Finding Precursors to Anomalous Drop in Airspeed During a Flight's Takeoff.
KDD
Vijay Manikandan Janakiraman, Bryan L. Matthews, Nikunj C. Oza
2017 J jnl
RAPT: Rare Class Prediction in Absence of True Labels.
IEEE Trans. Knowl. Data Eng.
Varun Mithal, Guruprasad Nayak, Ankush Khandelwal, Vipin Kumar, Nikunj C. Oza, Ramakrishna R. Nemani
2016 — conf
Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation.
ECML/PKDD (3)
Manali Sharma, Kamalika Das, Mustafa Bilgic, Bryan L. Matthews, David Nielsen, Nikunj C. Oza
2016 A conf
Discovery of Precursors to Adverse Events using Time Series Data.
SDM
Vijay Manikandan Janakiraman, Bryan L. Matthews, Nikunj C. Oza
2016 A* conf
Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems.
KDD
Igor Melnyk, Arindam Banerjee, Bryan L. Matthews, Nikunj C. Oza
2016 J jnl
Semi-Markov Switching Vector Autoregressive Model-based Anomaly Detection in Aviation Systems.
CoRR
Igor Melnyk, Arindam Banerjee, Bryan L. Matthews, Nikunj C. Oza
2016 J jnl
Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems.
J. Aerosp. Inf. Syst.
Igor Melnyk, Bryan L. Matthews, Hamed Valizadegan, Arindam Banerjee, Nikunj C. Oza
2015 — conf
Large scale support vector regression for aviation safety.
IEEE BigData
Kamalika Das, Kanishka Bhaduri, Bryan L. Matthews, Nikunj C. Oza
2014 J jnl
Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms.
J. Aerosp. Inf. Syst.
Bryan L. Matthews, Santanu Das, Kanishka Bhaduri, Kamalika Das, Rodney Martin, Nikunj C. Oza
2013 J jnl
Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams.
IEEE Trans. Knowl. Data Eng.
Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Ashok Srivastava, Nikunj C. Oza
2013 J jnl
Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms.
J. Aerosp. Inf. Syst.
Bryan L. Matthews, Santanu Das, Kanishka Bhaduri, Kamalika Das, Rodney Martin, Nikunj C. Oza
2013 A* conf
EventCube: multi-dimensional search and mining of structured and text data.
KDD
Fangbo Tao, Kin Hou Lei, Jiawei Han, ChengXiang Zhai, Xiao Cheng, Marina Danilevsky, Nihit Desai, Bolin Ding, Jing Ge, Heng Ji, Rucha Kanade, Anne Kao, Qi Li, Yanen Li, Cindy Xide Lin, Jialu Liu, Nikunj C. Oza, Ashok N. Srivastava, Rodney Tjoelker, Chi Wang, Duo Zhang, Bo Zhao
2011 J jnl
Efficient Keyword-Based Search for Top-K Cells in Text Cube.
IEEE Trans. Knowl. Data Eng.
Bolin Ding, Bo Zhao, Cindy Xide Lin, Jiawei Han, ChengXiang Zhai, Ashok N. Srivastava, Nikunj C. Oza
2011 J jnl
Facing the reality of data stream classification: coping with scarcity of labeled data.
Knowl. Inf. Syst.
Mohammad M. Masud, Clay Woolam, Jing Gao, Latifur Khan, Jiawei Han, Kevin W. Hamlen, Nikunj C. Oza
2011 — conf
Pseudo-Label Generation for Multi-Label Text Classification.
CIDU
Mohammad Salim Ahmed, Latifur Khan, Nikunj C. Oza
2011 A conf
Sparse Solutions for Single Class SVMs: A Bi-Criterion Approach.
SDM
Santanu Das, Nikunj C. Oza
2010 A* conf
Fast and Flexible Multivariate Time Series Subsequence Search.
ICDM
Kanishka Bhaduri, Qiang Zhu, Nikunj C. Oza, Ashok N. Srivastava
2010 — conf
Multi-label ASRS Dataset Classification Using Semi Supervised Subspace Clustering.
CIDU
Mohammad Salim Ahmed, Latifur Khan, Nikunj C. Oza, Mandava Rajeswari
2010 A* conf
Multiple kernel learning for heterogeneous anomaly detection: algorithm and aviation safety case study.
KDD
Santanu Das, Bryan L. Matthews, Ashok N. Srivastava, Nikunj C. Oza
2009 A* conf
?-Anomica: A Fast Support Vector Based Novelty Detection Technique.
ICDM
Santanu Das, Kanishka Bhaduri, Nikunj C. Oza, Ashok N. Srivastava
2009 J jnl
Classification of Aeronautics System Health and Safety Documents.
IEEE Trans. Syst. Man Cybern. Part C
Nikunj C. Oza, J. Patrick Castle, John C. Stutz
2009 A* conf
Discriminative Mixed-Membership Models.
ICDM
Hanhuai Shan, Arindam Banerjee, Nikunj C. Oza
2009 — ch.
Ensemble Data Mining Methods.
Encyclopedia of Data Warehousing and Mining
Nikunj C. Oza
2009 — conf
Theoretically Optimal Distributed Anomaly Detection.
ICDM Workshops
Aleksandar Lazarevic, Nisheeth Srivastava, Ashutosh Tiwari, Josh Isom, Nikunj C. Oza, Jaideep Srivastava
2009 J jnl
Topic modeling for OLAP on multidimensional text databases: topic cube and its applications.
Stat. Anal. Data Min.
Duo Zhang, ChengXiang Zhai, Jiawei Han, Ashok N. Srivastava, Nikunj C. Oza
2009 J jnl
Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring.
J. Aerosp. Comput. Inf. Commun.
Mark Schwabacher, Nikunj C. Oza, Bryan L. Matthews
2008 J jnl
Applications of ensemble methods.
Inf. Fusion
Nikunj C. Oza, Kagan Tumer
2008 J jnl
Classifier ensembles: Select real-world applications.
Inf. Fusion
Nikunj C. Oza, Kagan Tumer
2008 A* conf
Learning to Improve Earth Observation Flight Planning.
AAAI
Robert A. Morris, Nikunj C. Oza, Leslie Keely, Elif Kürklü, Anthony Strawa
2008 — conf
Learning to Improve Earth Observation Flight Planning.
AAAI Spring Symposium: Semantic Scientific Knowledge Integration
Robert A. Morris, Nikunj C. Oza, Leslie Keely, Elif Kürklü
2005 C conf
Improvements in virtual sensors: using spatial information to estimate remote sensing spectra.
IGARSS
Nikunj C. Oza, Ashok N. Srivastava, Julienne C. Stroeve
2005 — ed.
Multiple Classifier Systems, 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings
Multiple Classifier Systems
Nikunj C. Oza, Robi Polikar, Josef Kittler, Fabio Roli
2005 B conf
Online bagging and boosting.
SMC
Nikunj C. Oza
2005 J jnl
Virtual sensors: using data mining techniques to efficiently estimate remote sensing spectra.
IEEE Trans. Geosci. Remote. Sens.
Ashok N. Srivastava, Nikunj C. Oza, Julienne C. Stroeve
2004 — conf
AveBoost2: Boosting for Noisy Data.
Multiple Classifier Systems
Nikunj C. Oza
2003 — conf
Boosting with Averaged Weight Vectors.
Multiple Classifier Systems
Nikunj C. Oza
2003 — conf
Classification of Aircraft Maneuvers for Fault Detection.
Multiple Classifier Systems
Nikunj C. Oza, Kagan Tumer, Irem Y. Tumer, Edward M. Huff
2003 J jnl
Input decimated ensembles.
Pattern Anal. Appl.
Kagan Tumer, Nikunj C. Oza
2001 A* conf
Experimental comparisons of online and batch versions of bagging and boosting.
KDD
Nikunj C. Oza, Stuart Russell
2001 — conf
Input Decimation Ensembles: Decorrelation through Dimensionality Reduction.
Multiple Classifier Systems
Nikunj C. Oza, Kagan Tumer
2001 A conf
Online Bagging and Boosting.
AISTATS
Nikunj C. Oza, Stuart Russell
2000 — conf
Online Ensemble Learning.
AAAI/IAAI
Nikunj C. Oza
1999 B conf
Decimated input ensembles for improved generalization.
IJCNN
Kagan Turner, Nikunj C. Oza