Ashok N. Srivastava

Publication Activity (10 Years)

Years Active: 1995-2019
Publications (10 Years): 3

Top Topics

Future Directions

Relevant Literature

Top Venues

J. Aerosp. Inf. Syst.

Publications

Aude Marzuoli, Emmanuel Boidot, Eric Feron, Ashok N. Srivastava
Implementing and Validating Air Passenger-Centric Metrics Using Mobile Phone Data. J. Aerosp. Inf. Syst. 16 (4) (2019)
Ashok N. Srivastava
AIAA Journal of Aerospace Information Systems 2016 Year-End Review. J. Aerosp. Inf. Syst. 14 (1) (2017)
Ashok N. Srivastava
2015 Year-End Review. J. Aerosp. Inf. Syst. 13 (1) (2016)
Ashok N. Srivastava
Year-End Review. J. Aerosp. Inf. Syst. 12 (1) (2015)
Lishuai Li, Santanu Das, R. John Hansman, Rafael Palacios, Ashok N. Srivastava
Analysis of Flight Data Using Clustering Techniques for Detecting Abnormal Operations. J. Aerosp. Inf. Syst. 12 (9) (2015)
Ashok N. Srivastava
Building the Journal of Aerospace Information Systems: A Successful First Year. J. Aerosp. Inf. Syst. 11 (1) (2014)
Ashok N. Srivastava, Johann Schumann
Software health management: a necessity for safety critical systems. Innov. Syst. Softw. Eng. 9 (4) (2013)
Ashok N. Srivastava, Nitesh V. Chawla
Special Issue on CIDU '11. Stat. Anal. Data Min. 6 (3) (2013)
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)
Santanu Das, Soumalya Sarkar, Asok Ray, Ashok N. Srivastava, Donald L. Simon
Anomaly detection in flight recorder data: A dynamic data-driven approach. ACC (2013)
Johann Schumann, Timmy Mbaya, Ole J. Mengshoel, Knot Pipatsrisawat, Ashok N. Srivastava, Arthur Choi, Adnan Darwiche
Software health management with Bayesian networks. Innov. Syst. Softw. Eng. 9 (4) (2013)
Kamalika Das, Ashok N. Srivastava
Sparse inverse kernel Gaussian Process regression. Stat. Anal. Data Min. 6 (3) (2013)
Ashok N. Srivastava
Announcing the Journal of Aerospace Information Systems. J. Aerosp. Inf. Syst. 10 (1) (2013)
Laurent El Ghaoui, Vu Pham, Guan-Cheng Li, Viet-An Duong, Ashok N. Srivastava, Kanishka Bhaduri
Understanding large text corpora via sparse machine learning. Stat. Anal. Data Min. 6 (3) (2013)
Nitesh V. Chawla, Ashok N. Srivastava
Foreword. CIDU (2012)
Ashok N. Srivastava
Greener aviation with virtual sensors: a case study. Data Min. Knowl. Discov. 24 (2) (2012)
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) (2011)
Kamalika Das, Ashok N. Srivastava
Sparse Inverse Gaussian Process Regression with Application to Climate Network Discovery. CIDU (2011)
Laurent El Ghaoui, Guan-Cheng Li, Viet-An Duong, Vu Pham, Ashok N. Srivastava, Kanishka Bhaduri
Sparse Machine Learning Methods for Understanding Large Text Corpora. CIDU (2011)
Maxime Gariel, Ashok N. Srivastava, Eric Feron
Trajectory Clustering and an Application to Airspace Monitoring. IEEE Trans. Intell. Transp. Syst. 12 (4) (2011)
Kanishka Bhaduri, Mark D. Stefanski, Ashok N. Srivastava
Privacy-Preserving Outlier Detection Through Random Nonlinear Data Distortion. IEEE Trans. Syst. Man Cybern. Part B 41 (1) (2011)
Ashok N. Srivastava, Nitesh V. Chawla
Special issue on the best papers of the Conference on Intelligent Data Understanding (CIDU 2010). Stat. Anal. Data Min. 4 (4) (2011)
Johann Schumann, Ole J. Mengshoel, Ashok N. Srivastava, Adnan Darwiche
Towards software health management with bayesian networks. FoSER (2010)
Cristina Milesi, Arindam Samanta, Hirofumi Hashimoto, K. Krishna Kumar, Sangram Ganguly, Prasad S. Thenkabail, Ashok N. Srivastava, Ramakrishna R. Nemani, Ranga B. Myneni
Decadal Variations in NDVI and Food Production in India. Remote. Sens. 2 (3) (2010)
Maxime Gariel, Ashok N. Srivastava, Eric Feron
Trajectory Clustering and an Application to Airspace Monitoring CoRR (2010)
Kamalika Das, Ashok N. Srivastava
Block-GP: Scalable Gaussian Process Regression for Multimodal Data. ICDM (2010)
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)
Johann Schumann, Ashok N. Srivastava, Ole J. Mengshoel
Who Guards the Guardians? - Toward V&V of Health Management Software - (Short Paper). RV (2010)
Kanishka Bhaduri, Qiang Zhu, Nikunj C. Oza, Ashok N. Srivastava
Fast and Flexible Multivariate Time Series Subsequence Search. ICDM (2010)
Suratna Budalakoti, Ashok N. Srivastava, Matthew Eric Otey
Anomaly Detection and Diagnosis Algorithms for Discrete Symbol Sequences with Applications to Airline Safety. IEEE Trans. Syst. Man Cybern. Part C 39 (1) (2009)
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) (2009)
Santanu Das, Kanishka Bhaduri, Nikunj C. Oza, Ashok N. Srivastava
?-Anomica: A Fast Support Vector Based Novelty Detection Technique. ICDM (2009)
Ashok N. Srivastava
Data mining at NASA: from theory to applications. KDD (2009)
Kanishka Bhaduri, Ashok N. Srivastava
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks. ICDM (2009)
Ashok N. Srivastava, Santanu Das
Detection and Prognostics on Low-Dimensional Systems. IEEE Trans. Syst. Man Cybern. Part C 39 (1) (2009)
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) (2005)
Ashok N. Srivastava
Data Mining: Concepts, Models, Methods, and Algorithms. J. Comput. Inf. Sci. Eng. 5 (4) (2005)
Ashok N. Srivastava, Johann Schumann, Bernd Fischer
An ensemble approach to building Mercer Kernels with prior information. SMC (2005)
Nikunj C. Oza, Ashok N. Srivastava, Julienne C. Stroeve
Improvements in virtual sensors: using spatial information to estimate remote sensing spectra. IGARSS (2005)
Ashok N. Srivastava
Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data. SDM (2004)
Ashok N. Srivastava, Renjeng Su, Andreas S. Weigend
Data Mining for Features Using Scale-Sensitive Gated Experts. IEEE Trans. Pattern Anal. Mach. Intell. 21 (12) (1999)
Andreas S. Weigend, Ashok N. Srivastava
Predicting conditional probability distributions: a connectionist approach. Int. J. Neural Syst. 6 (2) (1995)
Andreas S. Weigend, Morgan Mangeas, Ashok N. Srivastava
Nonlinear gated experts for time series: discovering regimes and avoiding overfitting. Int. J. Neural Syst. 6 (4) (1995)