Jeff Shrager

Jay M. Tenenbaum, Jeff Shrager: Cancer: A Computational Disease that AI Can Cure. AI Magazine 32(2): 14-26 (2011)

Jeff Elhai, Arnaud Taton, J. P. Massar, John K. Myers, Michael Travers, Johnny Casey, Mark Slupesky, Jeff Shrager: BioBIKE: A Web-based, programmable, integrated biological knowledge base. Nucleic Acids Research 37(Web-Server-Issue): 28-32 (2009)

Gregorio Convertino, Dorrit Billman, Peter Pirolli, J. P. Massar, Jeff Shrager: The CACHE Study: Group Effects in Computer-supported Collaborative Analysis. Computer Supported Cooperative Work 17(4): 353-393 (2008)

Richard Waldinger, Jeff Shrager: Answering Science Questions: Deduction with Answer Extraction and Procedural Attachment. AAAI Spring Symposium: Semantic Scientific Knowledge Integration 2008: 109-113

Michael S. Bernstein, Jeff Shrager, Terry Winograd: Taskposé: exploring fluid boundaries in an associative window visualization. UIST 2008: 231-234

Pat Langley, Oren Shiran, Jeff Shrager, Ljupco Todorovski, Andrew Pohorille: Constructing explanatory process models from biological data and knowledge. Artificial Intelligence in Medicine 37(3): 191-201 (2006)

Monica Jain, Hilary J. Holz, Jeff Shrager, Olivier Vallon, Charles Hauser, Arthur Grossman: A Hybrid, Recursive Algorithm for Clustering Expressed Sequence Tags in Chlamydomonas reinhardtii. ICPR (3) 2006: 404-407

J. P. Massar, Michael Travers, Jeff Elhai, Jeff Shrager: BioLingua: a programmable knowledge environment for biologists. Bioinformatics 21(2): 199-207 (2005)

Stephen D. Bay, Lonnie Chrisman, Andrew Pohorille, Jeff Shrager: Temporal Aggregation Bias and Inference of Causal Regulatory Networks. Journal of Computational Biology 11(5): 971-985 (2004)

Jeff Shrager: The fiction of function. Bioinformatics 19(15): 1934-193 (2003)

Kazumi Saito, Dileep George, Stephen D. Bay, Jeff Shrager: Inducing Biological Models from Temporal Gene Expression Data. Discovery Science 2003: 468-469

Stephen D. Bay, Jeff Shrager, Andrew Pohorille, Pat Langley: Revising regulatory networks: from expression data to linear causal models. Journal of Biomedical Informatics 35(5-6): 289-297 (2002)

Jeff Shrager, Pat Langley, Andrew Pohorille: Guiding Revision of Regulatory Models with Expression Data. Pacific Symposium on Biocomputing 2002: 486-497

Jeff Shrager, Mark H. Johnson: Dynamic Plasticity Influences the Emergence of Function in a Simple Cortical Array. Neural Networks 9(7): 1119-1129 (1996)

Pat Langley, Wayne Iba, Jeff Shrager: Reactive and Automatic Behavior in Plan Execution. AIPS 1994: 299-304

Jeff Shrager: John H. Holland, Keith J. Holyoak, Richard E. Nisbett, and Paul R. Thagard, Induction: Process of Inference, Learning and Discovery. Artif. Intell. 41(2): 249-252 (1989)

Jeff Shrager: Issues and directions in qualitative physics: special editions from the 1987 workshop. AI in Engineering 3(3): 122-124 (1988)

Jeff Shrager: Continued monitoring of the state of qualitative physics. AI in Engineering 3(4): 182-184 (1988)

Keith L. Downing, Jeff Shrager: Causes to clauses: Managing assumptions in qualitative medical diagnosis. AI in Engineering 3(4): 192-199 (1988)

Jeff Shrager: John Laird, Paul Rosenbloom and Allen Newell, Universal Subgoaling and Chunking: The Automatic Generation and Learning of Goal Hierarchies. Artif. Intell. 32(2): 269-273 (1987)

Jeff Shrager, Daniel S. Jordan, Thomas P. Moran, Gregor Kiczales, Daniel M. Russell: Issues in the Pragmatics of Qualitative Modeling: Lessons Learned from a Xerographics Project. Commun. ACM 30(12): 1036-1047 (1987)

Jeff Shrager: Theory Change via View Application in Instructionless Learning. Machine Learning 2(3): 247-276 (1987)

Jeff Shrager, David Klahr: Instructionless Learning about a Complex Device: The Paradigm and Observations. International Journal of Man-Machine Studies 25(2): 153-189 (1986)

Jeff Shrager, Timothy W. Finin: An Expert System That Volunteers Advice. AAAI 1982: 339-340