Devika Subramanian

Publication Activity (10 Years)

Years Active: 1986-2022
Publications (10 Years): 13

Top Topics

Distributed Representations

Biological Entities

Mechanical Turk

Top Venues

J. Biomed. Informatics

J. Am. Medical Informatics Assoc.

Publications

YiFan Wu, Justin Mower, Xiruo Ding, Oliver Li, Devika Subramanian, Trevor Cohen
Predicting Drug Blood-Brain Barrier Penetration with Adverse Event Report Embeddings. AMIA (2022)
Xiruo Ding, Justin Mower, Devika Subramanian, Trevor Cohen
Augmenting aer2vec: Enriching distributed representations of adverse event report data with orthographic and lexical information. J. Biomed. Informatics 119 (2021)
Tongtong Huang, Yan Chu, Shayan Shams, Yejin Kim, Ananth V. Annapragada, Devika Subramanian, Ioannis A. Kakadiaris, Assaf Gottlieb, Xiaoqian Jiang
Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates. J. Biomed. Informatics 119 (2021)
Justin Mower, Trevor A. Cohen, Devika Subramanian
Complementing Observational Signal with Distributed Representations for Drug Side-effect Prediction. AMIA (2019)
Jake Portanova, Nathan Murray, Justin Mower, Devika Subramanian, Trevor A. Cohen
aer2vec: Distributed Representations of Adverse Event Reporting System Data as a Means to Identify Drug/Side-Effect Associations. AMIA (2019)
Ashesh Chattopadhyay, Pedram Hassanzadeh, Krishna V. Palem, Devika Subramanian
Data-driven prediction of a multi-scale Lorenz 96 chaotic system using a hierarchy of deep learning methods: Reservoir computing, ANN, and RNN-LSTM. CoRR (2019)
Hannah A. Burkhardt, Devika Subramanian, Justin Mower, Trevor A. Cohen
Predicting Adverse Drug-Drug Interactions with Neural Embedding of Semantic Predications. AMIA (2019)
Zhouhan Chen, Devika Subramanian
An Unsupervised Approach to Detect Spam Campaigns that Use Botnets on Twitter. CoRR (2018)
Justin Mower, Devika Subramanian, Trevor Cohen
Learning predictive models of drug side-effect relationships from distributed representations of literature-derived semantic predications. J. Am. Medical Informatics Assoc. 25 (10) (2018)
Balu Bhasuran, Devika Subramanian, Jeyakumar Natarajan
Text mining and network analysis to find functional associations of genes in high altitude diseases. Comput. Biol. Chem. 75 (2018)
Zhouhan Chen, Rima S. Tanash, Richard Stoll, Devika Subramanian
Hunting Malicious Bots on Twitter: An Unsupervised Approach. SocInfo (2) (2017)
Justin Mower, Devika Subramanian, Ning Shang, Trevor Cohen
Classification-by-Analogy: Using Vector Representations of Implicit Relationships to Identify Plausibly Causal Drug/Side-effect Relationships. AMIA (2016)
Rima S. Tanash, Zhouhan Chen, Tanmay Thakur, Dan S. Wallach, Devika Subramanian
Known Unknowns: An Analysis of Twitter Censorship in Turkey. WPES@CCS (2015)
Todd W. Neller, Marc Lanctot, Devika Subramanian, Stephanie E. August
Model AI Assignments 2013. EAAI (2013)
Bradley M. Broom, Kim-Anh Do, Devika Subramanian
Model averaging strategies for structure learning in Bayesian networks with limited data. BMC Bioinform. 13 (S-13) (2012)
Jorge R. Herskovic, Devika Subramanian, Trevor Cohen, Pamela A. Bozzo-Silva, Charles F. Bearden, Elmer V. Bernstam
Graph-based signal integration for high-throughput phenotyping. BMC Bioinform. 13 (S-13) (2012)
Jorge R. Herskovic, Trevor Cohen, Devika Subramanian, M. Sriram Iyengar, Jack W. Smith, Elmer V. Bernstam
MEDRank: Using graph-based concept ranking to index biomedical texts. Int. J. Medical Informatics 80 (6) (2011)
James Winkler, Leonardo Dueñas-Osorio, Robert Stein, Devika Subramanian
Performance assessment of topologically diverse power systems subjected to hurricane events. Reliab. Eng. Syst. Saf. 95 (4) (2010)
Eric Horvitz, Lise Getoor, Carlos Guestrin, James A. Hendler, Joseph A. Konstan, Devika Subramanian, Michael P. Wellman, Henry A. Kautz
AI Theory and Practice: A Discussion on Hard Challenges and Opportunities Ahead. AI Mag. 31 (3) (2010)
Anup Parikh, Eryong Huang, Christopher Dinh, Blaz Zupan, Adam Kuspa, Devika Subramanian, Gad Shaulsky
PKA pathway revealed by Bayesian analysis of expression data. BMC Bioinform. 11 (2010)
Fabrizio de Vico Fallani, Farhan Baluch, Laura Astolfi, Devika Subramanian, George Zouridakis, Fabio Babiloni
Structural Organization of Functional Networks from EEG Signals during Motor Learning Tasks. Int. J. Bifurc. Chaos 20 (3) (2010)
Mitchell Koch, Bradley M. Broom, Devika Subramanian
Learning robust cell signalling models from high throughput proteomic data. Int. J. Bioinform. Res. Appl. 5 (3) (2009)
Michael Buckley, John Nordlinger, Devika Subramanian
Socially relevant computing. SIGCSE (2008)
Keith D. Cooper, Alexander Grosul, Timothy J. Harvey, Steven W. Reeves, Devika Subramanian, Linda Torczon, Todd Waterman
Exploring the structure of the space of compilation sequences using randomized search algorithms. J. Supercomput. 36 (2) (2006)
Keith D. Cooper, Alexander Grosul, Timothy J. Harvey, Steven W. Reeves, Devika Subramanian, Linda Torczon, Todd Waterman
ACME: adaptive compilation made efficient. LCTES (2005)
Devika Subramanian, Richard Stoll
Events, Patterns and Analysis: forecasting conflict in the 21st century. DG.O (2004)
L. Almagor, Keith D. Cooper, Alexander Grosul, Timothy J. Harvey, Steven W. Reeves, Devika Subramanian, Linda Torczon, Todd Waterman
Finding effective compilation sequences. LCTES (2004)
Cristian Coarfa, Demetrios D. Demopoulos, Alfonso San Miguel Aguirre, Devika Subramanian, Moshe Y. Vardi
Random 3-SAT: The Plot Thickens. Constraints An Int. J. 8 (3) (2003)
Keith D. Cooper, Devika Subramanian, Linda Torczon
Adaptive Optimizing Compilers for the 21st Century. J. Supercomput. 23 (1) (2002)
Richard Thrapp, Christian Westbrook, Devika Subramanian
Robust Localization Algorithms for an Autonomous Campus Tour Guide. ICRA (2001)
Cristian Coarfa, Demetrios D. Demopoulos, Alfonso San Miguel Aguirre, Devika Subramanian, Moshe Y. Vardi
Random 3-SAT: The Plot Thickens. CP (2000)
Keith D. Cooper, Philip J. Schielke, Devika Subramanian
Optimizing for Reduced Code Space using Genetic Algorithms. Workshop on Languages, Compilers, and Tools for Embedded Systems (1999)
Johnny Chen, Peter Druschel, Devika Subramanian
A New Approach to Routing with Dynamic Metrics. INFOCOM (1999)
Johnny Chen, Peter Druschel, Devika Subramanian
An Efficient Multipath Forwarding Method. INFOCOM (1998)
Daniela Rus, Devika Subramanian
Information Retrieval, Information Structure, and Information Agents. Intelligent Hypertext (1997)
Daniela Rus, Devika Subramanian
Customizing Information Capture and Access. ACM Trans. Inf. Syst. 15 (1) (1997)
Devika Subramanian, Peter Druschel, Johnny Chen
Ants and Reinforcement Learning: A Case Study in Routing in Dynamic Networks. IJCAI (2) (1997)
Carl A. Gunter, Teow-Hin Ngair, Devika Subramanian
The Common Order-Theoretic Structure of Version Spaces and ATMSs. Artif. Intell. 95 (2) (1997)
Devika Subramanian, Russell Greiner, Judea Pearl
The Relevance of Relevance (Editorial). Artif. Intell. 97 (1-2) (1997)
Carl A. Gunter, Teow-Hin Ngair, Devika Subramanian
Sets as Anti-Chains. ASIAN (1996)
Stuart J. Russell, Devika Subramanian
Provably Bounded-Optimal Agents. J. Artif. Intell. Res. 2 (1995)
Devika Subramanian
Shifting Vocabulary Bias in Speedup Learning. Mach. Learn. 20 (1-2) (1995)
Daniela Rus, Devika Subramanian
Customizing Multimedia Information Access. ACM Comput. Surv. 27 (4) (1995)
Stuart J. Russell, Devika Subramanian
Provably Bounded-Optimal Agents CoRR (1995)
Daniel N. Hennessy, Vanathi Gopalakrishnan, Bruce G. Buchanan, John M. Rosenberg, Devika Subramanian
Induction of Rules for Biological Macromolecular Crystallization. ISMB (1994)
Vanathi Gopalakrishnan, Daniel N. Hennessy, Bruce G. Buchanan, Devika Subramanian
The Crystallographer's Assistant. AAAI (1994)
Diana F. Gordon, Devika Subramanian
A Multistrategy Learning Scheme for Agent Knowledge Acquisition. Informatica (Slovenia) 17 (4) (1993)
Daniela Rus, Devika Subramanian
Multi-media RISSC Informatics: Retrieval of Information with Simple Structural Components (Part I: The Architecture). CIKM (1993)
Stuart J. Russell, Devika Subramanian, Ronald Parr
Provably Bounded Optimal Agents. IJCAI (1993)
Devika Subramanian
Conceptual Design and Artificial Intelligence. IJCAI (1993)
Devika Subramanian, Scott Hunter
Measuring Utility and the Design of Provably Good EBL Algorithms. ML (1992)
Carl A. Gunter, Teow-Hin Ngair, Prakash Panangaden, Devika Subramanian
The Common Order-Theoretic Structure of Version Spaces and ATMS's. AAAI (1991)
Devika Subramanian, Ronen Feldman
The Utility of EBL in Recursive Domain Theories. AAAI (1990)
Devika Subramanian, John Woodfill
Making Situation Calculus Indexical. KR (1989)
Devika Subramanian
Representational Issues in Machine Learning. ML (1989)
Devika Subramanian
A Theory of Justified Reformulations. ML (1989)
Devika Subramanian, Michael R. Genesereth
The Relevance of Irrelevance. IJCAI (1987)
Devika Subramanian, Joan Feigenbaum
Factorization in Experiment Generation. AAAI (1986)