Mark Craven

According to our database1, Mark Craven
  • authored at least 60 papers between 1991 and 2018.
  • has a "Dijkstra number"2 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Context-Specific Nested Effects Models.
Proceedings of the Research in Computational Molecular Biology, 2018

2017
A review of active learning approaches to experimental design for uncovering biological networks.
PLoS Computational Biology, 2017

Breast Cancer Risk Prediction Using Electronic Health Records.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

2016
Modeling the Temporal Evolution of Postoperative Complications.
Proceedings of the AMIA 2016, 2016

2014
Inferring Host Gene Subnetworks Involved in Viral Replication.
PLoS Computational Biology, 2014

2013
Limited Agreement of Independent RNAi Screens for Virus-Required Host Genes Owes More to False-Negative than False-Positive Factors.
PLoS Computational Biology, 2013

2012
Learning Hidden Markov Models for Regression using Path Aggregation
CoRR, 2012

Biomedical event extraction from abstracts and full papers using search-based structured prediction.
BMC Bioinformatics, 2012

Learning to Predict Post-Hospitalization VTE Risk from EHR Data.
Proceedings of the AMIA 2012, 2012

2011
A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation Using First-Order Logic.
Proceedings of the IJCAI 2011, 2011

Search-based Structured Prediction applied to Biomedical Event Extraction.
Proceedings of the Fifteenth Conference on Computational Natural Language Learning, 2011

Biomedical Event Extraction from Abstracts and Full Papers using Search-based Structured Prediction.
Proceedings of BioNLP Shared Task 2011 Workshop, Portland, Oregon, USA, June 24, 2011, 2011

2010
Detecting Speculative Language Using Syntactic Dependencies and Logistic Regression.
Proceedings of the Fourteenth Conference on Computational Natural Language Learning: Shared Task, 2010

2009
EDGE3: A web-based solution for management and analysis of Agilent two color microarray experiments.
BMC Bioinformatics, 2009

Clustered alignments of gene-expression time series data.
Bioinformatics, 2009

Incorporating domain knowledge into topic modeling via Dirichlet Forest priors.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Similarity Queries for Temporal Toxicogenomic Expression Profiles.
PLoS Computational Biology, 2008

Learning Hidden Markov Models for Regression using Path Aggregation.
Proceedings of the UAI 2008, 2008

Learning Expressive Models of Gene Regulation.
Proceedings of the Inductive Logic Programming, 18th International Conference, 2008

An Analysis of Active Learning Strategies for Sequence Labeling Tasks.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

2007
Learning probabilistic models of cis-regulatory modules that represent logical and spatial aspects.
Bioinformatics, 2007

Multiple-Instance Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Connecting quantitative regulatory-network models to the genome.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

2006
A specialized learner for inferring structured cis-regulatory modules.
BMC Bioinformatics, 2006

Ranking Biomedical Passages for Relevance and Diversity: University of Wisconsin, Madison at TREC Genomics 2006.
Proceedings of the Fifteenth Text REtrieval Conference, 2006

2005
Learning Statistical Models for Annotating Proteins with Function Information using Biomedical Text.
BMC Bioinformatics, 2005

Classifying Biomedical Articles by Making Localized Decisions.
Proceedings of the Fourteenth Text REtrieval Conference, 2005

Supervised versus multiple instance learning: an empirical comparison.
Proceedings of the Machine Learning, 2005

2004
Exploiting Zone Information, Syntactic Rules, and Informative Terms in Gene Ontology Annotation of Biomedical Documents.
Proceedings of the Thirteenth Text REtrieval Conference, 2004

Learning Regulatory Network Models that Represent Regulator States and Roles.
Proceedings of the Regulatory Genomics, 2004

Markov Networks for Detecting Overalpping Elements in Sequence Data.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Multiple Alignment of Rearranged Genomes.
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

2003
Biological applications of multi-relational data mining.
SIGKDD Explorations, 2003

A Bayesian Network Approach to Operon Prediction.
Bioinformatics, 2003

Evidence combination in biomedical natural-language processing.
Proceedings of the 3nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2003), 2003

Predicting bacterial transcription units using sequence and expression data.
Proceedings of the Eleventh International Conference on Intelligent Systems for Molecular Biology, June 29, 2003

Hierarchical Hidden Markov Models for Information Extraction.
Proceedings of the IJCAI-03, 2003

2002
The Genomics of a Signaling Pathway: A KDD Cup Challenge Task.
SIGKDD Explorations, 2002

Exploiting Relations Among Concepts to Acquire Weakly Labeled Training Data.
Proceedings of the Machine Learning, 2002

2001
Relational Learning with Statistical Predicate Invention: Better Models for Hypertext.
Machine Learning, 2001

Representing Sentence Structure in Hidden Markov Models for Information Extraction.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Refining the Structure of a Stochastic Context-Free Grammar.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

2000
Learning to construct knowledge bases from the World Wide Web.
Artif. Intell., 2000

A Probabilistic Learning Approach to Whole-Genome Operon Prediction.
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology, 2000

Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999
Constructing Biological Knowledge Bases by Extracting Information from Text Sources.
Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology, 1999

1998
Combining Statistical and Relational Methods for Learning in Hypertext Domains.
Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

First-Order Learning for Web Mining.
Proceedings of the Machine Learning: ECML-98, 1998

Learning to Extract Symbolic Knowledge from the World Wide Web.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997
Understanding Time-Series Networks: A Case Study in Rule Extraction.
Int. J. Neural Syst., 1997

Using neural networks for data mining.
Future Generation Comp. Syst., 1997

1995
Learning Sparse Perceptrons.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Extracting Tree-Structured Representations of Trained Networks.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Predicting Protein Folding Classes without Overly Relying on Homology.
Proceedings of the Third International Conference on Intelligent Systems for Molecular Biology, 1995

1994
Machine Learning Approaches to Gene Recognition.
IEEE Expert, 1994

Using Sampling and Queries to Extract Rules from Trained Neural Networks.
Proceedings of the Machine Learning, 1994

1993
Learning to Represent Codons: A Challenge Problem for Constructive Induction.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

Learning Symbolic Rules Using Artificial Neural Networks.
Proceedings of the Machine Learning, 1993

1992
Visualizing Learning and Computation in Artificial Neural Networks.
International Journal on Artificial Intelligence Tools, 1992

1991
Constructive Induction in Knowledge-Based Neural Networks.
Proceedings of the Eighth International Workshop (ML91), 1991


  Loading...