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Nikunj C. Oza
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2020 – today
- 2022
- [j16]Esra Suel
, Meytar Sorek-Hamer
What You See Is What You Breathe? Estimating Air Pollution Spatial Variation Using Street-Level Imagery. Remote. Sens. 14(14): 3429 (2022) - [c28]Lawrence J. Prinzel, Paul Krois, Kyle K. Ellis, Nikunj C. Oza, Robert W. Mah, Chad L. Stephens, Misty D. Davies, Samantha I. Infeld:
Human Interfaces and Management of Information (HIMI) Challenges for "In-Time" Aviation Safety Management Systems (IASMS). HCI (5) 2022: 367-387 - [i4]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:
Deep Transfer Learning on Satellite Imagery Improves Air Quality Estimates in Developing Nations. CoRR abs/2202.08890 (2022) - 2021
- [i3]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:
ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier to Mine Exoplanets. CoRR abs/2111.10009 (2021) - 2020
- [i2]Nikolaos Nikolaou
Better Boosting with Bandits for Online Learning. CoRR abs/2001.06105 (2020)
2010 – 2019
- 2018
- [j15]Varun Mithal, Guruprasad Nayak
Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework. Remote. Sens. 10(1): 69 (2018) - 2017
- [j14]Varun Mithal, Guruprasad Nayak
RAPT: Rare Class Prediction in Absence of True Labels. IEEE Trans. Knowl. Data Eng. 29(11): 2484-2497 (2017) - [c27]Vijay Manikandan Janakiraman, Bryan L. Matthews, Nikunj C. Oza:
Finding Precursors to Anomalous Drop in Airspeed During a Flight's Takeoff. KDD 2017: 1843-1852 - [c26]Kamalika Das, Ilya Avrekh, Bryan L. Matthews, Manali Sharma, Nikunj C. Oza:
ASK-the-Expert: Active Learning Based Knowledge Discovery Using the Expert. ECML/PKDD (3) 2017: 395-399 - 2016
- [j13]Igor Melnyk, Bryan L. Matthews, Hamed Valizadegan, Arindam Banerjee, Nikunj C. Oza:
Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems. J. Aerosp. Inf. Syst. 13(4): 161-173 (2016) - [c25]Igor Melnyk, Arindam Banerjee, Bryan L. Matthews, Nikunj C. Oza:
Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems. KDD 2016: 1065-1074 - [c24]Manali Sharma, Kamalika Das, Mustafa Bilgic, Bryan L. Matthews, David Nielsen, Nikunj C. Oza:
Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation. ECML/PKDD (3) 2016: 209-225 - [c23]Vijay Manikandan Janakiraman, Bryan L. Matthews, Nikunj C. Oza:
Discovery of Precursors to Adverse Events using Time Series Data. SDM 2016: 639-647 - [i1]Igor Melnyk, Arindam Banerjee, Bryan L. Matthews, Nikunj C. Oza:
Semi-Markov Switching Vector Autoregressive Model-based Anomaly Detection in Aviation Systems. CoRR abs/1602.06550 (2016) - 2015
- [c22]Kamalika Das, Kanishka Bhaduri, Bryan L. Matthews, Nikunj C. Oza:
Large scale support vector regression for aviation safety. IEEE BigData 2015: 999-1006 - 2014
- [j12]Bryan L. Matthews, Santanu Das, Kanishka Bhaduri, Kamalika Das, Rodney Martin, Nikunj C. Oza:
Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms. J. Aerosp. Inf. Syst. 11(7): 482 (2014) - 2013
- [j11]Bryan L. Matthews, Santanu Das, Kanishka Bhaduri, Kamalika Das, Rodney Martin, Nikunj C. Oza:
Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms. J. Aerosp. Inf. Syst. 10(10): 467-475 (2013) - [j10]Mohammad M. Masud
Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams. IEEE Trans. Knowl. Data Eng. 25(7): 1484-1497 (2013) - [c21]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:
EventCube: multi-dimensional search and mining of structured and text data. KDD 2013: 1494-1497 - 2011
- [j9]Mohammad M. Masud
Facing the reality of data stream classification: coping with scarcity of labeled data. Knowl. Inf. Syst. 33(1): 213-244 (2011) - [j8]Bolin Ding, Bo Zhao, Cindy Xide Lin, Jiawei Han, Chengxiang Zhai, Ashok N. Srivastava, Nikunj C. Oza:
Efficient Keyword-Based Search for Top-K Cells in Text Cube. IEEE Trans. Knowl. Data Eng. 23(12): 1795-1810 (2011) - [c20]Mohammad Salim Ahmed, Latifur Khan, Nikunj C. Oza:
Pseudo-Label Generation for Multi-Label Text Classification. CIDU 2011: 60-75 - [c19]Santanu Das, Nikunj C. Oza:
Sparse Solutions for Single Class SVMs: A Bi-Criterion Approach. SDM 2011: 816-827 - 2010
- [c18]Mohammad Salim Ahmed, Latifur Khan, Nikunj C. Oza, Mandava Rajeswari:
Multi-label ASRS Dataset Classification Using Semi Supervised Subspace Clustering. CIDU 2010: 285-299 - [c17]Kanishka Bhaduri, Qiang Zhu, Nikunj C. Oza, Ashok N. Srivastava:
Fast and Flexible Multivariate Time Series Subsequence Search. ICDM 2010: 48-57 - [c16]Santanu Das, Bryan L. Matthews, Ashok N. Srivastava, Nikunj C. Oza:
Multiple kernel learning for heterogeneous anomaly detection: algorithm and aviation safety case study. KDD 2010: 47-56
2000 – 2009
- 2009
- [j7]Mark Schwabacher, Nikunj C. Oza, Bryan L. Matthews:
Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring. J. Aerosp. Comput. Inf. Commun. 6(7): 464-482 (2009) - [j6]Duo Zhang, ChengXiang Zhai, Jiawei Han, Ashok N. Srivastava, Nikunj C. Oza:
Topic modeling for OLAP on multidimensional text databases: topic cube and its applications. Stat. Anal. Data Min. 2(5-6): 378-395 (2009) - [j5]Nikunj C. Oza, J. Patrick Castle, John C. Stutz:
Classification of Aeronautics System Health and Safety Documents. IEEE Trans. Syst. Man Cybern. Part C 39(6): 670-680 (2009) - [c15]Santanu Das, Kanishka Bhaduri, Nikunj C. Oza, Ashok N. Srivastava:
?-Anomica: A Fast Support Vector Based Novelty Detection Technique. ICDM 2009: 101-109 - [c14]Hanhuai Shan, Arindam Banerjee, Nikunj C. Oza:
Discriminative Mixed-Membership Models. ICDM 2009: 466-475 - [c13]Aleksandar Lazarevic, Nisheeth Srivastava, Ashutosh Tiwari, Josh Isom, Nikunj C. Oza, Jaideep Srivastava
Theoretically Optimal Distributed Anomaly Detection. ICDM Workshops 2009: 515-520 - [r1]Nikunj C. Oza:
Ensemble Data Mining Methods. Encyclopedia of Data Warehousing and Mining 2009: 770-776 - 2008
- [j4]Nikunj C. Oza, Kagan Tumer:
Applications of ensemble methods. Inf. Fusion 9(1): 2-3 (2008) - [j3]Nikunj C. Oza, Kagan Tumer:
Classifier ensembles: Select real-world applications. Inf. Fusion 9(1): 4-20 (2008) - [c12]Robert A. Morris, Nikunj C. Oza, Leslie Keely, Elif Kürklü, Anthony Strawa:
Learning to Improve Earth Observation Flight Planning. AAAI 2008: 1712-1717 - [c11]Robert A. Morris, Nikunj C. Oza, Leslie Keely, Elif Kürklü:
Learning to Improve Earth Observation Flight Planning. AAAI Spring Symposium: Semantic Scientific Knowledge Integration 2008: 57-62 - 2005
- [j2]Ashok N. Srivastava, Nikunj C. Oza, Julienne C. Stroeve:
Virtual sensors: using data mining techniques to efficiently estimate remote sensing spectra. IEEE Trans. Geosci. Remote. Sens. 43(3): 590-600 (2005) - [c10]Nikunj C. Oza, Ashok N. Srivastava, Julienne C. Stroeve:
Improvements in virtual sensors: using spatial information to estimate remote sensing spectra. IGARSS 2005: 5606-5609 - [c9]Nikunj C. Oza:
Online bagging and boosting. SMC 2005: 2340-2345 - [e1]Nikunj C. Oza, Robi Polikar, Josef Kittler, Fabio Roli:
Multiple Classifier Systems, 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings. Lecture Notes in Computer Science 3541, Springer 2005, ISBN 3-540-26306-3 [contents] - 2004
- [c8]Nikunj C. Oza:
AveBoost2: Boosting for Noisy Data. Multiple Classifier Systems 2004: 31-40 - 2003
- [j1]Kagan Tumer, Nikunj C. Oza:
Input decimated ensembles. Pattern Anal. Appl. 6(1): 65-77 (2003) - [c7]Nikunj C. Oza:
Boosting with Averaged Weight Vectors. Multiple Classifier Systems 2003: 15-24 - [c6]Nikunj C. Oza, Kagan Tumer, Irem Y. Tumer, Edward M. Huff:
Classification of Aircraft Maneuvers for Fault Detection. Multiple Classifier Systems 2003: 375-384 - 2001
- [c5]Nikunj C. Oza, Stuart Russell:
Online Bagging and Boosting. AISTATS 2001: 229-236 - [c4]Nikunj C. Oza, Stuart Russell:
Experimental comparisons of online and batch versions of bagging and boosting. KDD 2001: 359-364 - [c3]Nikunj C. Oza, Kagan Tumer:
Input Decimation Ensembles: Decorrelation through Dimensionality Reduction. Multiple Classifier Systems 2001: 238-247 - 2000
- [c2]Nikunj C. Oza:
Online Ensemble Learning. AAAI/IAAI 2000: 1109
1990 – 1999
- 1999
- [c1]Kagan Turner, Nikunj C. Oza:
Decimated input ensembles for improved generalization. IJCNN 1999: 3069-3074
Coauthor Index
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