Mark Craven

According to our database, Mark Craven authored at least 47 papers between 1995 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Feature Importance Explanations for Temporal Black-Box Models.

Akshay Sood, Mark Craven

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Context-Specific Nested Effects Models.

Yuriy Sverchkov, Yi-Hsuan Ho, Audrey P. Gasch, Mark Craven

J. Comput. Biol., 2020

2019

Augmenting subnetwork inference with information extracted from the scientific literature.

Sid Kiblawi, Deborah Chasman, Amanda Henning, Eunju Park, Hoifung Poon, Michael Gould, Paul Ahlquist, Mark Craven

PLoS Comput. Biol., 2019

atSNP Search: a web resource for statistically evaluating influence of human genetic variation on transcription factor binding.

Sunyoung Shin, Rebecca Hudson, Christopher Harrison, Mark Craven, Sündüz Keles

Bioinform., 2019

Understanding Learned Models by Identifying Important Features at the Right Resolution.

Kyubin Lee, Akshay Sood, Mark Craven

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

A review of active learning approaches to experimental design for uncovering biological networks.

Yuriy Sverchkov, Mark Craven

PLoS Comput. Biol., 2017

2014

Inferring Host Gene Subnetworks Involved in Viral Replication.

Deborah Chasman, Brandi Gancarz, Linhui Hao, Michael Ferris, Paul Ahlquist, Mark Craven

PLoS Comput. Biol., 2014

2013

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

Linhui Hao, Qiuling He, Zhishi Wang, Mark Craven, Michael A. Newton, Paul Ahlquist

PLoS Comput. Biol., 2013

2012

Biomedical event extraction from abstracts and full papers using search-based structured prediction.

Andreas Vlachos, Mark Craven

BMC Bioinform., 2012

2011

A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation Using First-Order Logic.

David Andrzejewski, Xiaojin Zhu, Mark Craven, Benjamin Recht

Proceedings of the IJCAI 2011, 2011

Search-based Structured Prediction applied to Biomedical Event Extraction.

Andreas Vlachos, Mark Craven

Proceedings of the Fifteenth Conference on Computational Natural Language Learning, 2011

2010

Detecting Speculative Language Using Syntactic Dependencies and Logistic Regression.

Andreas Vlachos, Mark Craven

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.

Aaron L. Vollrath, Adam A. Smith, Mark Craven, Christopher A. Bradfield

BMC Bioinform., 2009

Clustered alignments of gene-expression time series data.

Adam A. Smith, Aaron L. Vollrath, Christopher A. Bradfield, Mark Craven

Bioinform., 2009

Incorporating domain knowledge into topic modeling via Dirichlet Forest priors.

David Andrzejewski, Xiaojin Zhu, Mark Craven

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Similarity Queries for Temporal Toxicogenomic Expression Profiles.

Adam A. Smith, Aaron L. Vollrath, Christopher A. Bradfield, Mark Craven

PLoS Comput. Biol., 2008

Learning Hidden Markov Models for Regression using Path Aggregation.

Keith Noto, Mark Craven

Proceedings of the UAI 2008, 2008

Learning Expressive Models of Gene Regulation.

Mark Craven

Proceedings of the Inductive Logic Programming, 18th International Conference, 2008

An Analysis of Active Learning Strategies for Sequence Labeling Tasks.

Burr Settles, Mark Craven

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

2007

Learning probabilistic models of <i>cis</i>-regulatory modules that represent logical and spatial aspects.

Keith Noto, Mark Craven

Bioinform., 2007

Multiple-Instance Active Learning.

Burr Settles, Mark Craven, Soumya Ray

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Connecting quantitative regulatory-network models to the genome.

Yue Pan, Tim Durfee, Joseph Bockhorst, Mark Craven

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.

Keith Noto, Mark Craven

BMC Bioinform., 2006

Ranking Biomedical Passages for Relevance and Diversity: University of Wisconsin, Madison at TREC Genomics 2006.

Andrew B. Goldberg, David Andrzejewski, Jurgen Van Gael, Burr Settles, Xiaojin Zhu, Mark Craven

Proceedings of the Fifteenth Text REtrieval Conference, 2006

2005

Learning Statistical Models for Annotating Proteins with Function Information using Biomedical Text.

Soumya Ray, Mark Craven

BMC Bioinform., 2005

Classifying Biomedical Articles by Making Localized Decisions.

Thomas Brow, Burr Settles, Mark Craven

Proceedings of the Fourteenth Text REtrieval Conference, 2005

Supervised versus multiple instance learning: an empirical comparison.

Soumya Ray, Mark Craven

Proceedings of the Machine Learning, 2005

2004

Exploiting Zone Information, Syntactic Rules, and Informative Terms in Gene Ontology Annotation of Biomedical Documents.

Burr Settles, Mark Craven

Proceedings of the Thirteenth Text REtrieval Conference, 2004

Learning Regulatory Network Models that Represent Regulator States and Roles.

Keith Noto, Mark Craven

Proceedings of the Regulatory Genomics, 2004

Markov Networks for Detecting Overalpping Elements in Sequence Data.

Joseph Bockhorst, Mark Craven

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Multiple Alignment of Rearranged Genomes.

Aaron E. Darling, Bob Mau, Mark Craven, Nicole T. Perna

Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

2003

Biological applications of multi-relational data mining.

David Page, Mark Craven

SIGKDD Explor., 2003

Evidence combination in biomedical natural-language processing.

Marios Skounakis, Mark Craven

Proceedings of the 3nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2003), 2003

Predicting bacterial transcription units using sequence and expression data.

Joseph Bockhorst, Yu Qiu, Jeremy D. Glasner, Mingzhu Liu, Frederick R. Blattner, Mark Craven

Proceedings of the Eleventh International Conference on Intelligent Systems for Molecular Biology, June 29, 2003

Hierarchical Hidden Markov Models for Information Extraction.

Marios Skounakis, Mark Craven, Soumya Ray

Proceedings of the IJCAI-03, 2003

2002

The Genomics of a Signaling Pathway: A KDD Cup Challenge Task.

Mark Craven

SIGKDD Explor., 2002

Exploiting Relations Among Concepts to Acquire Weakly Labeled Training Data.

Joseph Bockhorst, Mark Craven

Proceedings of the Machine Learning, 2002

2001

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

Mark Craven, Seán Slattery

Mach. Learn., 2001

Representing Sentence Structure in Hidden Markov Models for Information Extraction.

Soumya Ray, Mark Craven

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Refining the Structure of a Stochastic Context-Free Grammar.

Joseph Bockhorst, Mark Craven

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

2000

Learning to construct knowledge bases from the World Wide Web.

Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery

Artif. Intell., 2000

1999

Constructing Biological Knowledge Bases by Extracting Information from Text Sources.

Mark Craven, Johan Kumlien

Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology, 1999

1998

Combining Statistical and Relational Methods for Learning in Hypertext Domains.

Seán Slattery, Mark Craven

Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

First-Order Learning for Web Mining.

Mark Craven, Seán Slattery, Kamal Nigam

Proceedings of the Machine Learning: ECML-98, 1998

Learning to Extract Symbolic Knowledge from the World Wide Web.

Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1995

Learning Sparse Perceptrons.

Jeffrey C. Jackson, Mark Craven

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Predicting Protein Folding Classes without Overly Relying on Homology.

Mark Craven, Richard J. Mural, Loren J. Hauser, Edward C. Uberbacher

Proceedings of the Third International Conference on Intelligent Systems for Molecular Biology, 1995