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Devika Subramanian

Showing results (11-20 of 30) with videos related to

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International Journal of Bioinformatics Research and Applications|June 16, 2009
Learning robust cell signalling models from high throughput proteomic dataMitchell Koch, Bradley M Broom, Devika Subramanian
Social Science Quarterly|July 22, 2010
Who evacuates when hurricanes approach? The role of risk, information, and locationRobert M Stein, Leonardo Dueñas-Osorio, Devika Subramanian
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 9, 2017
Classification-by-Analogy: Using Vector Representations of Implicit Relationships to Identify Plausibly Causal Drug/Side-effect RelationshipsJustin Mower, Devika Subramanian, Ning Shang, et al.
Journal of Biomedical Informatics|June 10, 2021
Augmenting aer2vec: Enriching distributed representations of adverse event report data with orthographic and lexical informationXiruo Ding, Justin Mower, Devika Subramanian, et al.
Scientific American|October 2, 2018
This Way OutLeonardo Dueñas-Osorio, Devika Subramanian, Robert M Stein
BMC Bioinformatics|January 17, 2013
Model averaging strategies for structure learning in Bayesian networks with limited dataBradley M Broom, Kim-Anh Do, Devika Subramanian
Circulation. Heart Failure|May 13, 2011
New predictive models of heart failure mortality using time-series measurements and ensemble modelsDevika Subramanian, Venkataraman Subramanian, Anita Deswal, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|April 21, 2020
Predicting Adverse Drug-Drug Interactions with Neural Embedding of Semantic PredicationsHannah A Burkhardt, Devika Subramanian, Justin Mower, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|April 21, 2020
<i>aer2vec</i>: Distributed Representations of Adverse Event Reporting System Data as a Means to Identify Drug/Side-Effect AssociationsJake Portanova, Nathan Murray, Justin Mower, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|February 15, 2021
Domain-driven models yield better predictions at lower cost than reservoir computers in Lorenz systemsRyan Pyle, Nikola Jovanovic, Devika Subramanian, et al.
Pageof 3

Showing results (11-20 of 30) with videos related to

Sort By:
Pageof 3
International Journal of Bioinformatics Research and Applications|June 16, 2009
Learning robust cell signalling models from high throughput proteomic dataMitchell Koch, Bradley M Broom, Devika Subramanian
Social Science Quarterly|July 22, 2010
Who evacuates when hurricanes approach? The role of risk, information, and locationRobert M Stein, Leonardo Dueñas-Osorio, Devika Subramanian
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 9, 2017
Classification-by-Analogy: Using Vector Representations of Implicit Relationships to Identify Plausibly Causal Drug/Side-effect RelationshipsJustin Mower, Devika Subramanian, Ning Shang, et al.
Journal of Biomedical Informatics|June 10, 2021
Augmenting aer2vec: Enriching distributed representations of adverse event report data with orthographic and lexical informationXiruo Ding, Justin Mower, Devika Subramanian, et al.
Scientific American|October 2, 2018
This Way OutLeonardo Dueñas-Osorio, Devika Subramanian, Robert M Stein
BMC Bioinformatics|January 17, 2013
Model averaging strategies for structure learning in Bayesian networks with limited dataBradley M Broom, Kim-Anh Do, Devika Subramanian
Circulation. Heart Failure|May 13, 2011
New predictive models of heart failure mortality using time-series measurements and ensemble modelsDevika Subramanian, Venkataraman Subramanian, Anita Deswal, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|April 21, 2020
Predicting Adverse Drug-Drug Interactions with Neural Embedding of Semantic PredicationsHannah A Burkhardt, Devika Subramanian, Justin Mower, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|April 21, 2020
<i>aer2vec</i>: Distributed Representations of Adverse Event Reporting System Data as a Means to Identify Drug/Side-Effect AssociationsJake Portanova, Nathan Murray, Justin Mower, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|February 15, 2021
Domain-driven models yield better predictions at lower cost than reservoir computers in Lorenz systemsRyan Pyle, Nikola Jovanovic, Devika Subramanian, et al.
Pageof 3