Devika Subramanian
Affiliations: | 1989-1995 | Cornell University, Ithaca, NY, United States | |
| 1995- | Rice University, Houston, TX |
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"Devika Subramanian"Children
Sign in to add trainee| Scott C. Benson | research assistant | Cornell (Chemistry Tree) | |
| Todd W. Neller | research assistant | Cornell | |
| Scott Stoller | research assistant | Cornell | |
| Stephanie Weirich | research assistant | 1996 | Rice University |
| Johnny Chen | grad student | 1999 | Rice University |
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Publications
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| Chattopadhyay A, Hassanzadeh P, Subramanian D. (2020) Data-driven predictions of a multiscale Lorenz 96 chaotic system using machine-learning methods: reservoir computing, artificial neural network, and long short-term memory network Nonlinear Processes in Geophysics. 27: 373-389 |
| Broom BM, Do KA, Subramanian D. (2012) Model averaging strategies for structure learning in Bayesian networks with limited data Bmc Bioinformatics. 13 |
| Parikh A, Huang E, Dinh C, et al. (2010) New components of the Dictyostelium PKA pathway revealed by Bayesian analysis of expression data. Bmc Bioinformatics. 11: 163 |
| De Vico Fallani F, Baluch F, Astolfi L, et al. (2010) Structural organization of functional networks from eeg signals during motor learning tasks International Journal of Bifurcation and Chaos. 20: 905-912 |
| Koch M, Broom BM, Subramanian D. (2009) Learning robust cell signalling models from high throughput proteomic data International Journal of Bioinformatics Research and Applications. 5: 241-253 |
| Subramanian D, Greiner R, Pearl J. (1997) Relevance of relevance Artificial Intelligence. 97: 1-5 |
| Gunter CA, Ngair T, Subramanian D. (1997) The common order-theoretic structure of version spaces and ATMSs Artificial Intelligence. 95: 357-407 |
| Russell SJ, Subramanian D. (1994) Provably bounded-optimal agents Journal of Artificial Intelligence Research. 2: 575-609 |