Jeff Shrager

According to our database1, Jeff Shrager authored at least 33 papers between 1982 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Prototyping a precision oncology 3.0 rapid learning platform.
BMC Bioinformatics, 2018

2015
On the Privacy Practices of Just Plain Sites.
Proceedings of the 14th ACM Workshop on Privacy in the Electronic Society, 2015

2014
RAPPD: A Language and Prototype for Recipient-Accountable Private Personal Data.
Proceedings of the 35. IEEE Security and Privacy Workshops, 2014

Inconsistency Monitoring in a Large Scientific Knowledge Base.
Proceedings of the Knowledge Engineering and Knowledge Management, 2014

2013
Groups: knowledge spreadsheets for symbolic biocomputing.
Database, 2013

Blend me in: Privacy-preserving input generalization for personalized online services.
Proceedings of the Eleventh Annual International Conference on Privacy, Security and Trust, 2013

Adding individual patient case data to the Melanoma Targeted Therapy Advisor.
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, 2013

2011
Cancer: A Computational Disease that AI Can Cure.
AI Magazine, 2011

2010
Soccer Science and the Bayes Community: Exploring the Cognitive Implications of Modern Scientific Communication.
topiCS, 2010

2009
BioBIKE: A Web-based, programmable, integrated biological knowledge base.
Nucleic Acids Research, 2009

2008
The CACHE Study: Group Effects in Computer-supported Collaborative Analysis.
Computer Supported Cooperative Work, 2008

Taskposé: exploring fluid boundaries in an associative window visualization.
Proceedings of the 21st Annual ACM Symposium on User Interface Software and Technology, 2008

Answering Science Questions: Deduction with Answer Extraction and Procedural Attachment.
Proceedings of the Semantic Scientific Knowledge Integration, 2008

2006
Constructing explanatory process models from biological data and knowledge.
Artificial Intelligence in Medicine, 2006

A Hybrid, Recursive Algorithm for Clustering Expressed Sequence Tags in Chlamydomonas reinhardtii.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005
BioLingua: a programmable knowledge environment for biologists.
Bioinformatics, 2005

2004
Temporal Aggregation Bias and Inference of Causal Regulatory Networks.
Journal of Computational Biology, 2004

2003
The fiction of function.
Bioinformatics, 2003

Inducing Biological Models from Temporal Gene Expression Data.
Proceedings of the Discovery Science, 6th International Conference, 2003

2002
Revising regulatory networks: from expression data to linear causal models.
Journal of Biomedical Informatics, 2002

Guiding Revision of Regulatory Models with Expression Data.
Proceedings of the 7th Pacific Symposium on Biocomputing, 2002

1996
Dynamic Plasticity Influences the Emergence of Function in a Simple Cortical Array.
Neural Networks, 1996

1994
Reactive and Automatic Behavior in Plan Execution.
Proceedings of the Second International Conference on Artificial Intelligence Planning Systems, 1994

1989
John H. Holland, Keith J. Holyoak, Richard E. Nisbett, and Paul R. Thagard, Induction: Process of Inference, Learning and Discovery.
Artif. Intell., 1989

Automatic Discovery of Contextual Factors Describing Phonological Variation.
Proceedings of the Speech and Natural Language: Proceedings of a Workshop Held at Philadelphia, 1989

1988
Continued monitoring of the state of qualitative physics.
AI in Engineering, 1988

Issues and directions in qualitative physics: special editions from the 1987 workshop.
AI in Engineering, 1988

Causes to clauses: Managing assumptions in qualitative medical diagnosis.
AI in Engineering, 1988

1987
Theory Change via View Application in Instructionless Learning.
Machine Learning, 1987

Issues in the Pragmatics of Qualitative Modeling: Lessons Learned from a Xerographics Project.
Commun. ACM, 1987

John Laird, Paul Rosenbloom and Allen Newell, Universal Subgoaling and Chunking: The Automatic Generation and Learning of Goal Hierarchies.
Artif. Intell., 1987

1986
Instructionless Learning about a Complex Device: The Paradigm and Observations.
International Journal of Man-Machine Studies, 1986

1982
An Expert System That Volunteers Advice.
Proceedings of the National Conference on Artificial Intelligence, 1982


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