Niranjan Subrahmanya
Cited by
Cited by
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
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
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
Adaptive divided difference filtering for simultaneous state and parameter estimation
N Subrahmanya, YC Shin
Automatica 45 (7), 1686-1693, 2009
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
Streaming keyword spotting on mobile devices
O Rybakov, N Kononenko, N Subrahmanya, M Visontai, S Laurenzo
arXiv preprint arXiv:2005.06720, 2020
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
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
Training keyword spotting models on non-iid data with federated learning
A Hard, K Partridge, C Nguyen, N Subrahmanya, A Shah, P Zhu, ...
arXiv preprint arXiv:2005.10406, 2020
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
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
Constructive training of recurrent neural networks using hybrid optimization
N Subrahmanya, YC Shin
Neurocomputing 73 (13-15), 2624-2631, 2010
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
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
Multi-scale Graphical Models for Spatio-Temporal Processes
F Janoos, H Denli, N Subrahmanya
Advances in Neural Information Processing Systems 27, 316-324, 2014
A variational Bayesian framework for group feature selection
N Subrahmanya, YC Shin
International Journal of Machine Learning and Cybernetics 4, 609-619, 2013
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
Geophysical inversion with convolutional neural networks
H Denli, NA Subrahmanya
US Patent 10,996,372, 2021
Advanced machine learning methods for production data pattern recognition
N Subrahmanya, P Xu, A El-Bakry, C Reynolds
SPE Intelligent Energy Conference & Exhibition, 2014
Learning to detect keyword parts and whole by smoothed max pooling
HJ Park, P Violette, N Subrahmanya
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
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