# Ashok N. Srivastava

According to our database

Collaborative distances:

^{1}, Ashok N. Srivastava authored at least 40 papers between 1995 and 2017.Collaborative distances:

## Timeline

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#### On csauthors.net:

## Bibliography

2017

AIAA Journal of Aerospace Information Systems 2016 Year-End Review.

J. Aerospace Inf. Sys., 2017

2016

*Journal of Aerospace Information Systems*2015 Year-End Review.

J. Aerospace Inf. Sys., 2016

2015

*Journal of Aerospace Information Systems*Year-End Review.

J. Aerospace Inf. Sys., 2015

Analysis of Flight Data Using Clustering Techniques for Detecting Abnormal Operations.

J. Aerospace Inf. Sys., 2015

2014

Building the Journal of Aerospace Information Systems: A Successful First Year.

J. Aerospace Inf. Sys., 2014

2013

Special Issue on CIDU '11.

Statistical Analysis and Data Mining, 2013

Understanding large text corpora via sparse machine learning.

Statistical Analysis and Data Mining, 2013

Sparse inverse kernel Gaussian Process regression.

Statistical Analysis and Data Mining, 2013

Announcing the Journal of Aerospace Information Systems.

J. Aerospace Inf. Sys., 2013

Software health management: a necessity for safety critical systems.

ISSE, 2013

Software health management with Bayesian networks.

ISSE, 2013

EventCube: multi-dimensional search and mining of structured and text data.

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Anomaly detection in flight recorder data: A dynamic data-driven approach.

Proceedings of the American Control Conference, 2013

2012

Greener aviation with virtual sensors: a case study.

Data Min. Knowl. Discov., 2012

Foreword.

Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

2011

Privacy-Preserving Outlier Detection Through Random Nonlinear Data Distortion.

IEEE Trans. Systems, Man, and Cybernetics, Part B, 2011

Efficient Keyword-Based Search for Top-K Cells in Text Cube.

IEEE Trans. Knowl. Data Eng., 2011

Trajectory Clustering and an Application to Airspace Monitoring.

IEEE Trans. Intelligent Transportation Systems, 2011

Special issue on the best papers of the Conference on Intelligent Data Understanding (CIDU 2010).

Statistical Analysis and Data Mining, 2011

Sparse Machine Learning Methods for Understanding Large Text Corpora.

Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

Sparse Inverse Gaussian Process Regression with Application to Climate Network Discovery.

Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

2010

Decadal Variations in NDVI and Food Production in India.

Remote Sensing, 2010

Towards software health management with bayesian networks.

Proceedings of the Workshop on Future of Software Engineering Research, 2010

Who Guards the Guardians? - Toward V&V of Health Management Software - (Short Paper).

Proceedings of the Runtime Verification - First International Conference, 2010

Multiple kernel learning for heterogeneous anomaly detection: algorithm and aviation safety case study.

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Block-GP: Scalable Gaussian Process Regression for Multimodal Data.

Proceedings of the ICDM 2010, 2010

Fast and Flexible Multivariate Time Series Subsequence Search.

Proceedings of the ICDM 2010, 2010

2009

Detection and Prognostics on Low-Dimensional Systems.

IEEE Trans. Systems, Man, and Cybernetics, Part C, 2009

Anomaly Detection and Diagnosis Algorithms for Discrete Symbol Sequences with Applications to Airline Safety.

IEEE Trans. Systems, Man, and Cybernetics, Part C, 2009

Topic modeling for OLAP on multidimensional text databases: topic cube and its applications.

Statistical Analysis and Data Mining, 2009

Data mining at NASA: from theory to applications.

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

?-Anomica: A Fast Support Vector Based Novelty Detection Technique.

Proceedings of the ICDM 2009, 2009

A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks.

Proceedings of the ICDM 2009, 2009

2005

Virtual sensors: using data mining techniques to efficiently estimate remote sensing spectra.

IEEE Trans. Geoscience and Remote Sensing, 2005

An ensemble approach to building Mercer Kernels with prior information.

Proceedings of the IEEE International Conference on Systems, 2005

Improvements in virtual sensors: using spatial information to estimate remote sensing spectra.

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

2004

Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data.

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

1999

Data Mining for Features Using Scale-Sensitive Gated Experts.

IEEE Trans. Pattern Anal. Mach. Intell., 1999

1995

Predicting conditional probability distributions: a connectionist approach.

Int. J. Neural Syst., 1995

Nonlinear gated experts for time series: discovering regimes and avoiding overfitting.

Int. J. Neural Syst., 1995