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2020 – today
- 2024
[i4]Sheng Cheng, Zbigniew Starosolski, Devika Subramanian:
Self-Supervised Learning for Building Robust Pediatric Chest X-ray Classification Models. CoRR abs/2409.00231 (2024)- 2022
- [c33]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 - 2021
- [j23]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: 103818 (2021) - [j22]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: 103833 (2021)
2010 – 2019
- 2019
- [c32]Hannah A. Burkhardt, Devika Subramanian, Justin Mower, Trevor A. Cohen:
Predicting Adverse Drug-Drug Interactions with Neural Embedding of Semantic Predications. AMIA 2019 - [c31]Justin Mower, Trevor A. Cohen, Devika Subramanian:
Complementing Observational Signal with Distributed Representations for Drug Side-effect Prediction. AMIA 2019 - [c30]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 - [i3]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 abs/1906.08829 (2019) - 2018
- [j21]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: 101-110 (2018) - [j20]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): 1339-1350 (2018) - [i2]Zhouhan Chen, Devika Subramanian:
An Unsupervised Approach to Detect Spam Campaigns that Use Botnets on Twitter. CoRR abs/1804.05232 (2018) - 2017
- [c29]Zhouhan Chen, Rima S. Tanash, Richard Stoll, Devika Subramanian:
Hunting Malicious Bots on Twitter: An Unsupervised Approach. SocInfo (2) 2017: 501-510 - 2016
- [c28]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 - 2015
- [c27]Rima S. Tanash, Zhouhan Chen, Tanmay Thakur, Dan S. Wallach, Devika Subramanian:
Known Unknowns: An Analysis of Twitter Censorship in Turkey. WPES@CCS 2015: 11-20 - 2013
- [c26]Todd W. Neller, Marc Lanctot, Devika Subramanian, Stephanie E. August:
Model AI Assignments 2013. EAAI 2013 - 2012
- [j19]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): S10 (2012) - [j18]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): S2 (2012) - 2011
- [j17]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): 431-441 (2011) - 2010
- [j16]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): 103-114 (2010) - [j15]Anup Parikh, Eryong Huang, Christopher Dinh, Blaz Zupan, Adam Kuspa, Devika Subramanian, Gad Shaulsky:
New components of the Dictyostelium PKA pathway revealed by Bayesian analysis of expression data. BMC Bioinform. 11: 163 (2010) - [j14]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): 905-912 (2010) - [j13]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): 323-336 (2010)
2000 – 2009
- 2009
- [j12]Mitchell Koch, Bradley M. Broom, Devika Subramanian:
Learning robust cell signalling models from high throughput proteomic data. Int. J. Bioinform. Res. Appl. 5(3): 241-253 (2009) - 2008
- [c25]Michael Buckley, John Nordlinger, Devika Subramanian:
Socially relevant computing. SIGCSE 2008: 347-351 - 2006
- [j11]B. M. Broom, T. J. McDonnell, Devika Subramanian:
Predicting altered pathways using extendable scaffolds. Int. J. Bioinform. Res. Appl. 2(1): 3-18 (2006) - [j10]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): 135-151 (2006) - 2005
- [c24]Keith D. Cooper, Alexander Grosul, Timothy J. Harvey, Steven W. Reeves, Devika Subramanian, Linda Torczon, Todd Waterman:
ACME: adaptive compilation made efficient. LCTES 2005: 69-77 - 2004
- [c23]Devika Subramanian, Richard Stoll:
Events, Patterns and Analysis: forecasting conflict in the 21st century. DG.O 2004 - [c22]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: 231-239 - 2003
- [j9]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): 243-261 (2003) - 2002
- [j8]Keith D. Cooper, Devika Subramanian, Linda Torczon:
Adaptive Optimizing Compilers for the 21st Century. J. Supercomput. 23(1): 7-22 (2002) - 2001
- [c21]Richard Thrapp, Christian Westbrook, Devika Subramanian:
Robust Localization Algorithms for an Autonomous Campus Tour Guide. ICRA 2001: 2065-2071 - 2000
- [c20]Cristian Coarfa, Demetrios D. Demopoulos, Alfonso San Miguel Aguirre, Devika Subramanian, Moshe Y. Vardi:
Random 3-SAT: The Plot Thickens. CP 2000: 143-159
1990 – 1999
- 1999
- [c19]Johnny Chen, Peter Druschel, Devika Subramanian:
A New Approach to Routing with Dynamic Metrics. INFOCOM 1999: 661-670 - [c18]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: 1-9 - [e1]Jim Hendler, Devika Subramanian:
Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, July 18-22, 1999, Orlando, Florida, USA. AAAI Press / The MIT Press 1999, ISBN 0-262-51106-1 [contents] - 1998
- [c17]Johnny Chen, Peter Druschel, Devika Subramanian:
An Efficient Multipath Forwarding Method. INFOCOM 1998: 1418-1425 - 1997
- [j7]Carl A. Gunter, Teow-Hin Ngair, Devika Subramanian:
The Common Order-Theoretic Structure of Version Spaces and ATMSs. Artif. Intell. 95(2): 357-407 (1997) - [j6]Devika Subramanian, Russell Greiner, Judea Pearl:
The Relevance of Relevance (Editorial). Artif. Intell. 97(1-2): 1-5 (1997) - [j5]Daniela Rus, Devika Subramanian:
Customizing Information Capture and Access. ACM Trans. Inf. Syst. 15(1): 67-101 (1997) - [c16]Daniela Rus, Devika Subramanian:
Information Retrieval, Information Structure, and Information Agents. Intelligent Hypertext 1997: 145-182 - [c15]Devika Subramanian, Peter Druschel, Johnny Chen:
Ants and Reinforcement Learning: A Case Study in Routing in Dynamic Networks. IJCAI (2) 1997: 832-839 - 1996
- [c14]Carl A. Gunter, Teow-Hin Ngair, Devika Subramanian:
Sets as Anti-Chains. ASIAN 1996: 116-128 - 1995
- [j4]Daniela Rus, Devika Subramanian:
Customizing Multimedia Information Access. ACM Comput. Surv. 27(4): 627-629 (1995) - [j3]Stuart J. Russell, Devika Subramanian:
Provably Bounded-Optimal Agents. J. Artif. Intell. Res. 2: 575-609 (1995) - [j2]Devika Subramanian:
Shifting Vocabulary Bias in Speedup Learning. Mach. Learn. 20(1-2): 155-191 (1995) - [i1]Stuart J. Russell, Devika Subramanian:
Provably Bounded-Optimal Agents. CoRR cs.AI/9505103 (1995) - 1994
- [c13]Vanathi Gopalakrishnan, Daniel N. Hennessy, Bruce G. Buchanan, Devika Subramanian:
The Crystallographer's Assistant. AAAI 1994: 1451 - [c12]Daniel N. Hennessy, Vanathi Gopalakrishnan, Bruce G. Buchanan, John M. Rosenberg, Devika Subramanian:
Induction of Rules for Biological Macromolecular Crystallization. ISMB 1994: 179-187 - 1993
- [j1]Diana F. Gordon, Devika Subramanian:
A Multistrategy Learning Scheme for Agent Knowledge Acquisition. Informatica (Slovenia) 17(4) (1993) - [c11]Daniela Rus, Devika Subramanian:
Multi-media RISSC Informatics: Retrieval of Information with Simple Structural Components (Part I: The Architecture). CIKM 1993: 283-294 - [c10]Stuart J. Russell, Devika Subramanian, Ronald Parr:
Provably Bounded Optimal Agents. IJCAI 1993: 338-345 - [c9]Devika Subramanian:
Conceptual Design and Artificial Intelligence. IJCAI 1993: 800-809 - 1992
- [c8]Devika Subramanian, Scott B. Hunter:
Measuring Utility and the Design of Provably Good EBL Algorithms. ML 1992: 426-425 - 1991
- [c7]Carl A. Gunter, Teow-Hin Ngair, Prakash Panangaden, Devika Subramanian:
The Common Order-Theoretic Structure of Version Spaces and ATMS's. AAAI 1991: 500-505 - 1990
- [c6]Devika Subramanian, Ronen Feldman:
The Utility of EBL in Recursive Domain Theories. AAAI 1990: 942-949
1980 – 1989
- 1989
- [b1]Devika Subramanian:
A theory of justified reformulations. Stanford University, USA, 1989 - [c5]Devika Subramanian:
Representational Issues in Machine Learning. ML 1989: 426-429 - [c4]Devika Subramanian:
A Theory of Justified Reformulations. ML 1989: 434-438 - [c3]Devika Subramanian, John Woodfill:
Making Situation Calculus Indexical. KR 1989: 467-474 - 1987
- [c2]Devika Subramanian, Michael R. Genesereth:
The Relevance of Irrelevance. IJCAI 1987: 416-422 - 1986
- [c1]Devika Subramanian, Joan Feigenbaum:
Factorization in Experiment Generation. AAAI 1986: 518-522
Coauthor Index
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