Niranjan Subrahmanya, Ph.D.
Affiliations: | 2009 | Mechanical Engineering | Purdue University, West Lafayette, IN, United States |
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"Niranjan Subrahmanya"Parents
Sign in to add mentorYung C. Shin | grad student | 2009 | Purdue | |
(Data-based process monitoring, fault detection and diagnostics.) |
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Publications
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Urban G, Subrahmanya N, Baldi P. (2018) Inner and Outer Recursive Neural Networks for Chemoinformatics Applications. Journal of Chemical Information and Modeling |
Sadowski P, Fooshee DR, Subrahmanya N, et al. (2016) On the Synergies Between Quantum Mechanics and Machine Learning in Reaction Prediction. Journal of Chemical Information and Modeling |
Subrahmanya N, Shin YC. (2013) A data-based framework for fault detection and diagnostics of non-linear systems with partial state measurement Engineering Applications of Artificial Intelligence. 26: 446-455 |
Subrahmanya N, Shin YC. (2013) A variational Bayesian framework for group feature selection International Journal of Machine Learning and Cybernetics. 4: 609-619 |
Kameswaran S, Subrahmanya N. (2012) Multi-fidelity models for model predictive control Computer Aided Chemical Engineering. 31: 1627-1631 |
Subrahmanya N, Shin YC. (2010) Sparse multiple kernel learning for signal processing applications. Ieee Transactions On Pattern Analysis and Machine Intelligence. 32: 788-98 |
Subrahmanya N, Shin YC, Meckl PH. (2010) A Bayesian machine learning method for sensor selection and fusion with application to on-board fault diagnostics Mechanical Systems and Signal Processing. 24: 182-192 |
Subrahmanya N, Shin YC. (2010) Constructive training of recurrent neural networks using hybrid optimization Neurocomputing. 73: 2624-2631 |
Subrahmanya N, Shin YC. (2009) Adaptive divided difference filtering for simultaneous state and parameter estimation Automatica. 45: 1686-1693 |
Subrahmanya N, Shin YC. (2008) Automated sensor selection and fusion for monitoring and diagnostics of plunge grinding Journal of Manufacturing Science and Engineering, Transactions of the Asme. 130: 0310141-03101411 |