Mark Craven - RankMe

54 papers A* 11A 3B 4Journal 20Unranked 15

Year	Rank	Type	Title / Venue / Authors
2022	A*	`conf`	Feature Importance Explanations for Temporal Black-Box Models. AAAI Akshay Sood, Mark Craven
2021	J	`jnl`	Feature Importance Explanations for Temporal Black-Box Models. CoRR Akshay Sood, Mark Craven
2020	J	`jnl`	Context-Specific Nested Effects Models. J. Comput. Biol. Yuriy Sverchkov, Yi-Hsuan Ho, Audrey P. Gasch, Mark Craven
2019	J	`jnl`	Augmenting subnetwork inference with information extracted from the scientific literature. PLoS Comput. Biol. Sid Kiblawi, Deborah Chasman, Amanda Henning, Eunju Park, Hoifung Poon, Michael Gould, Paul Ahlquist, Mark Craven
2019	A*	`conf`	Understanding Learned Models by Identifying Important Features at the Right Resolution. AAAI Kyubin Lee, Akshay Sood, Mark Craven
2019	J	`jnl`	atSNP Search: a web resource for statistically evaluating influence of human genetic variation on transcription factor binding. Bioinform. Sunyoung Shin, Rebecca Hudson, Christopher Harrison, Mark Craven, Sündüz Keles
2018	B	`conf`	Context-Specific Nested Effects Models. RECOMB Yuriy Sverchkov, Yi-Hsuan Ho, Audrey P. Gasch, Mark Craven
2018	J	`jnl`	Understanding Learned Models by Identifying Important Features at the Right Resolution. CoRR Kyubin Lee, Akshay Sood, Mark Craven
2017	J	`jnl`	A review of active learning approaches to experimental design for uncovering biological networks. PLoS Comput. Biol. Yuriy Sverchkov, Mark Craven
2014	J	`jnl`	Inferring Host Gene Subnetworks Involved in Viral Replication. PLoS Comput. Biol. Deborah Chasman, Brandi Gancarz, Linhui Hao, Michael Ferris, Paul Ahlquist, Mark Craven
2013	J	`jnl`	Limited Agreement of Independent RNAi Screens for Virus-Required Host Genes Owes More to False-Negative than False-Positive Factors. PLoS Comput. Biol. Linhui Hao, Qiuling He, Zhishi Wang, Mark Craven, Michael A. Newton, Paul Ahlquist
2012	J	`jnl`	Biomedical event extraction from abstracts and full papers using search-based structured prediction. BMC Bioinform. Andreas Vlachos, Mark Craven
2012	J	`jnl`	Learning Hidden Markov Models for Regression using Path Aggregation CoRR Keith Noto, Mark Craven
2011	A*	`conf`	A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation Using First-Order Logic. IJCAI David Andrzejewski, Xiaojin Zhu, Mark Craven, Benjamin Recht
2011	—	`conf`	Biomedical Event Extraction from Abstracts and Full Papers using Search-based Structured Prediction. BioNLP@ACL (Shared Task) Andreas Vlachos, Mark Craven
2011	B	`conf`	Search-based Structured Prediction applied to Biomedical Event Extraction. CoNLL Andreas Vlachos, Mark Craven
2010	—	`conf`	Detecting Speculative Language Using Syntactic Dependencies and Logistic Regression. CoNLL Shared Task Andreas Vlachos, Mark Craven
2009	J	`jnl`	Clustered alignments of gene-expression time series data. Bioinform. Adam A. Smith, Aaron L. Vollrath, Christopher A. Bradfield, Mark Craven
2009	J	`jnl`	EDGE BMC Bioinform. Aaron L. Vollrath, Adam A. Smith, Mark Craven, Christopher A. Bradfield
2009	A*	`conf`	Incorporating domain knowledge into topic modeling via Dirichlet Forest priors. ICML David Andrzejewski, Xiaojin Zhu, Mark Craven
2008	—	`ed.`	Advances in Bioinformatics and Computational Biology, Third Brazilian Symposium on Bioinformatics, BSB 2008, Santo André, Brazil, August 28-30, 2008. Proceedings BSB Ana L. C. Bazzan, Mark Craven, Natália Florencio Martins
2008	A*	`conf`	An Analysis of Active Learning Strategies for Sequence Labeling Tasks. EMNLP Burr Settles, Mark Craven
2008	B	`conf`	Learning Expressive Models of Gene Regulation. ILP Mark Craven
2008	A	`conf`	Learning Hidden Markov Models for Regression using Path Aggregation. UAI Keith Noto, Mark Craven
2008	J	`jnl`	Similarity Queries for Temporal Toxicogenomic Expression Profiles. PLoS Comput. Biol. Adam A. Smith, Aaron L. Vollrath, Christopher A. Bradfield, Mark Craven
2007	—	`conf`	Connecting quantitative regulatory-network models to the genome. ISMB/ECCB (Supplement of Bioinformatics) Yue Pan, Tim Durfee, Joseph Bockhorst, Mark Craven
2007	J	`jnl`	Learning probabilistic models of Bioinform. Keith Noto, Mark Craven
2007	—	`conf`	Multiple-Instance Active Learning. NIPS Burr Settles, Mark Craven, Soumya Ray
2006	J	`jnl`	A specialized learner for inferring structured cis-regulatory modules. BMC Bioinform. Keith Noto, Mark Craven
2006	A*	`ed.`	Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, August 20-23, 2006 KDD Tina Eliassi-Rad, Lyle H. Ungar, Mark Craven, Dimitrios Gunopulos
2006	—	`conf`	Ranking Biomedical Passages for Relevance and Diversity: University of Wisconsin, Madison at TREC Genomics 2006. TREC Andrew B. Goldberg, David Andrzejewski, Jurgen Van Gael, Burr Settles, Xiaojin Zhu, Mark Craven
2005	—	`conf`	Classifying Biomedical Articles by Making Localized Decisions. TREC Thomas Brow, Burr Settles, Mark Craven
2005	J	`jnl`	Learning Statistical Models for Annotating Proteins with Function Information using Biomedical Text. BMC Bioinform. Soumya Ray, Mark Craven
2005	A*	`conf`	Supervised versus multiple instance learning: an empirical comparison. ICML Soumya Ray, Mark Craven
2004	—	`conf`	Exploiting Zone Information, Syntactic Rules, and Informative Terms in Gene Ontology Annotation of Biomedical Documents. TREC Burr Settles, Mark Craven
2004	—	`conf`	Learning Regulatory Network Models that Represent Regulator States and Roles. Regulatory Genomics Keith Noto, Mark Craven
2004	—	`conf`	Markov Networks for Detecting Overalpping Elements in Sequence Data. NIPS Joseph Bockhorst, Mark Craven
2004	—	`conf`	Multiple Alignment of Rearranged Genomes. CSB Aaron E. Darling, Bob Mau, Mark Craven, Nicole T. Perna
2003	J	`jnl`	Biological applications of multi-relational data mining. SIGKDD Explor. David Page, Mark Craven
2003	—	`conf`	Evidence combination in biomedical natural-language processing. BIOKDD Marios Skounakis, Mark Craven
2003	A*	`conf`	Hierarchical Hidden Markov Models for Information Extraction. IJCAI Marios Skounakis, Mark Craven, Soumya Ray
2003	—	`conf`	Predicting bacterial transcription units using sequence and expression data. ISMB (Supplement of Bioinformatics) Joseph Bockhorst, Yu Qiu, Jeremy D. Glasner, Mingzhu Liu, Frederick R. Blattner, Mark Craven
2002	A*	`conf`	Exploiting Relations Among Concepts to Acquire Weakly Labeled Training Data. ICML Joseph Bockhorst, Mark Craven
2002	J	`jnl`	The Genomics of a Signaling Pathway: A KDD Cup Challenge Task. SIGKDD Explor. Mark Craven
2001	A*	`conf`	Refining the Structure of a Stochastic Context-Free Grammar. IJCAI Joseph Bockhorst, Mark Craven
2001	J	`jnl`	Relational Learning with Statistical Predicate Invention: Better Models for Hypertext. Mach. Learn. Mark Craven, Seán Slattery
2001	A*	`conf`	Representing Sentence Structure in Hidden Markov Models for Information Extraction. IJCAI Soumya Ray, Mark Craven
2000	J	`jnl`	Learning to construct knowledge bases from the World Wide Web. Artif. Intell. Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery
1999	A	`conf`	Constructing Biological Knowledge Bases by Extracting Information from Text Sources. ISMB Mark Craven, Johan Kumlien
1998	B	`conf`	Combining Statistical and Relational Methods for Learning in Hypertext Domains. ILP Seán Slattery, Mark Craven
1998	—	`conf`	First-Order Learning for Web Mining. ECML Mark Craven, Seán Slattery, Kamal Nigam
1998	—	`conf`	Learning to Extract Symbolic Knowledge from the World Wide Web. AAAI/IAAI Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery
1995	—	`conf`	Learning Sparse Perceptrons. NIPS Jeffrey C. Jackson, Mark Craven
1995	A	`conf`	Predicting Protein Folding Classes without Overly Relying on Homology. ISMB Mark Craven, Richard J. Mural, Loren J. Hauser, Edward C. Uberbacher