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Niranjan Subrahmanya, Ph.D. - Publications

Affiliations: 
2009 Mechanical Engineering Purdue University, West Lafayette, IN, United States 
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11 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2018 Urban G, Subrahmanya N, Baldi P. Inner and Outer Recursive Neural Networks for Chemoinformatics Applications. Journal of Chemical Information and Modeling. PMID 29320180 DOI: 10.1021/Acs.Jcim.7B00384  0.334
2016 Sadowski P, Fooshee DR, Subrahmanya N, Baldi P. On the Synergies Between Quantum Mechanics and Machine Learning in Reaction Prediction. Journal of Chemical Information and Modeling. PMID 27749058 DOI: 10.1021/Acs.Jcim.6B00351  0.316
2013 Subrahmanya N, Shin YC. 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. DOI: 10.1016/J.Engappai.2012.09.004  0.493
2013 Subrahmanya N, Shin YC. A variational Bayesian framework for group feature selection International Journal of Machine Learning and Cybernetics. 4: 609-619. DOI: 10.1007/S13042-012-0121-9  0.527
2012 Kameswaran S, Subrahmanya N. Multi-fidelity models for model predictive control Computer Aided Chemical Engineering. 31: 1627-1631. DOI: 10.1016/B978-0-444-59506-5.50156-5  0.382
2010 Subrahmanya N, Shin YC. Sparse multiple kernel learning for signal processing applications. Ieee Transactions On Pattern Analysis and Machine Intelligence. 32: 788-98. PMID 20299705 DOI: 10.1109/Tpami.2009.98  0.531
2010 Subrahmanya N, Shin YC, Meckl PH. 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. DOI: 10.1016/J.Ymssp.2009.06.010  0.534
2010 Subrahmanya N, Shin YC. Constructive training of recurrent neural networks using hybrid optimization Neurocomputing. 73: 2624-2631. DOI: 10.1016/J.Neucom.2010.05.012  0.469
2009 Subrahmanya N, Shin YC. Adaptive divided difference filtering for simultaneous state and parameter estimation Automatica. 45: 1686-1693. DOI: 10.1016/J.Automatica.2009.02.029  0.472
2008 Subrahmanya N, Shin YC. 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. DOI: 10.1115/1.2927439  0.508
2008 Choi TJ, Subrahmanya N, Li H, Shin YC. Generalized practical models of cylindrical plunge grinding processes International Journal of Machine Tools and Manufacture. 48: 61-72. DOI: 10.1016/J.Ijmachtools.2007.07.010  0.528
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