Niranjan Subrahmanya
Title
Cited by
Cited by
Year
Sparse multiple kernel learning for signal processing applications
N Subrahmanya, YC Shin
IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (5), 788-798, 2009
1152009
Generalized practical models of cylindrical plunge grinding processes
TJ Choi, N Subrahmanya, H Li, YC Shin
International journal of machine tools and manufacture 48 (1), 61-72, 2008
682008
Adaptive divided difference filtering for simultaneous state and parameter estimation
N Subrahmanya, YC Shin
Automatica 45 (7), 1686-1693, 2009
642009
Granger causality for time-series anomaly detection
H Qiu, Y Liu, NA Subrahmanya, W Li
2012 IEEE 12th international conference on data mining, 1074-1079, 2012
612012
Synergies Between Quantum Mechanics and Machine Learning in Reaction Prediction
P Sadowski, D Fooshee, N Subrahmanya, P Baldi
Journal of Chemical Information and Modeling, 2016
442016
Automated sensor selection and fusion for monitoring and diagnostics of plunge grinding
N Subrahmanya, YC Shin
Journal of manufacturing science and engineering 130 (3), 2008
362008
Cold Start Approach For Data Driven Fault Detection
M Grbovic, W Li, N Subrahmanya, A Usadi, S Vucetic
Industrial Informatics, IEEE Transactions on, 1-1, 2013
332013
Constructive training of recurrent neural networks using hybrid optimization
N Subrahmanya, YC Shin
Neurocomputing 73 (13-15), 2624-2631, 2010
282010
A Bayesian machine learning method for sensor selection and fusion with application to on-board fault diagnostics
N Subrahmanya, YC Shin, PH Meckl
Mechanical systems and signal processing 24 (1), 182-192, 2010
252010
Method for automatic control and positioning of autonomous downhole tools
K Kumaran, NA Subrahmanya, PB Entchev, RC Tolman, RMA Boza
US Patent 9,328,578, 2016
222016
A data-based framework for fault detection and diagnostics of non-linear systems with partial state measurement
N Subrahmanya, YC Shin
Engineering Applications of Artificial Intelligence 26 (1), 446-455, 2013
222013
A variational Bayesian framework for group feature selection
N Subrahmanya, YC Shin
International Journal of Machine Learning and Cybernetics 4 (6), 609-619, 2013
182013
Multi-scale Graphical Models for Spatio-Temporal Processes
F Janoos, H Denli, N Subrahmanya
Advances in Neural Information Processing Systems 27, 316-324, 2014
132014
Improving Keyword Spotting and Language Identification via Neural Architecture Search at Scale
PV Hanna Mazzawi, Xavi Gonzalvo, Aleks Kracun, Prashant Sridhar, Niranjan ...
Interspeech 2019, 2019
102019
Inner and outer recursive neural networks for chemoinformatics applications
G Urban, N Subrahmanya, P Baldi
Journal of chemical information and modeling 58 (2), 207-211, 2018
102018
Online subspace and sparse filtering for target tracking in reverberant environment
W Li, N Subrahmanya, F Xu
2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM …, 2012
62012
Model-Based Optimization of the OD Plunge Grinding Process via Generalized Intelligent Grinding Advisory System (GIGAS)”,
N Subrahmanya, T Choi, YC Shin
Transactions of the North American Manufacturing Research Institution 35 …, 2007
62007
Advanced Machine Learning Methods for Production Data Pattern Recognition
N Subrahmanya, P Xu, A El-Bakry, C Reynolds
SPE Intelligent Energy Conference & Exhibition, 2014
52014
Determining Interwell Communication
W Li, NA Subrahmanya, L Song, AK Usadi, K Kumaran, P Xu, ...
US Patent App. 13/646,363, 2013
42013
Enhanced production surveillance using probabilistic dynamic models
A Tewari, S de Waele, N Subrahmanya
International Journal of Prognostics and Health Management, 2018
32018
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