Abhishek Srivastav
Abhishek Srivastav
Machine Learning Researcher, GE Global Research, SF Bay Area
Verified email at ge.com - Homepage
Title
Cited by
Cited by
Year
Baseline building energy modeling and localized uncertainty quantification using Gaussian mixture models
A Srivastav, A Tewari, B Dong
Energy and Buildings 65, 438-447, 2013
442013
Multi-sensor information fusion for fault detection in aircraft gas turbine engines
S Sarkar, S Sarkar, K Mukherjee, A Ray, A Srivastav
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2013
362013
Maximally bijective discretization for data-driven modeling of complex systems
S Sarkar, A Srivastav, M Shashanka
American Control Conference (ACC), 2013, 2674-2679, 2013
322013
Void fraction measurement in two-phase flow processes via symbolic dynamic filtering of ultrasonic signals
S Chakraborty, E Keller, J Talley, A Srivastav, A Ray, S Kim
Measurement science and technology 20 (2), 023001, 2009
282009
A composite discretization scheme for symbolic identification of complex systems
S Sarkar, A Srivastav
Signal Processing 125, 156-170, 2016
242016
Integrated energy performance modeling for a retail store building
B Dong, M Gorbounov, S Yuan, T Wu, A Srivastav, T Bailey, Z O’Neill
Building Simulation 6 (3), 283-295, 2013
222013
Information fusion for object & situation assessment in sensor networks
A Srivastav, Y Wen, E Hendrick, I Chattopadhyay, A Ray, S Phoha
American Control Conference (ACC), 2011, 1274-1279, 2011
192011
Depth estimation in Markov models of time-series data via spectral analysis
DK Jha, A Srivastav, K Mukherjee, A Ray
American Control Conference (ACC), 2015, 5812-5817, 2015
152015
Symbolic Analysis-based Reduced Order Markov Modeling of Time Series Data
DK Jha, N Virani, J Reimann, A Srivastav, A Ray
Signal Processing 149, 68-81, 2018
142018
Understanding phase transition in communication networks to enable robust and resilient control
S Sarkar, K Mukherjee, A Srivastav, A Ray
American Control Conference, 2009. ACC'09., 1549-1554, 2009
122009
Temporal Learning in Video Data Using Deep Learning and Gaussian Processes
DK Jha, A Srivastav, A Ray
International Journal of Prognostics and Health Management 7, 2016
112016
Statistical mechanics-inspired modeling of heterogeneous packet transmission in communication networks
S Sarkar, K Mukherjee, A Ray, A Srivastav, TA Wettergren
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2012
112012
Adaptive sensor activity scheduling in distributed sensor networks: A statistical mechanics approach
A Srivastav, A Ray, S Phoha
International Journal of Distributed Sensor Networks 5 (3), 242-261, 2009
112009
Estimating the size of temporal memory for symbolic analysis of time-series data
A Srivastav
American Control Conference, 2014
102014
Semantic sensor fusion for fault diagnosis in aircraft gas turbine engines
S Sarkar, DS Singh, A Srivastav, A Ray
American Control Conference (ACC), 2011, 220-225, 2011
102011
Symbolic dynamic filtering for image analysis: theory and experimental validation
A Subbu, A Srivastav, A Ray, E Keller
Signal, image and video processing 4 (3), 319-329, 2010
102010
An information-theoretic measure for anomaly detection in complex dynamical systems
A Srivastav, A Ray, S Gupta
Mechanical Systems and Signal Processing 23 (2), 358-371, 2009
102009
Distributed decision propagation in mobile agent networks
S Sarkar, K Mukherjee, A Srivastav, A Ray
49th IEEE Conference on Decision and Control (CDC), 633-638, 2010
82010
Critical phenomena and finite-size scaling in communication networks?
S Sarkar, K Mukherjee, A Srivastav, A Ray
American Control Conference (ACC), 2010, 271-276, 2010
82010
AUTOMATED FUNCTIONAL TESTS FOR DIAGNOSTICS AND CONTROL
S BENGEA, V ADETOLA, M KRUCINSKI, S SARKAR, A SRIVASTAV, ...
US Patent App. US2015/049,675, 2016
52016
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