Jude Shavlik

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Sriraam NatarajanUniversity of Texas at DallasVerified email at utdallas.edu
Richard MaclinProfessor of Computer Science, University of Minnesota DuluthVerified email at d.umn.edu
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLISVerified email at cs.tu-darmstadt.de
Feng NiuUniversity of Wisconsin-MadisonVerified email at cs.wisc.edu
Raymond MooneyProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Thomas DietterichDistinguished Professor (Emeritus), Computer Science, Oregon State UniversityVerified email at cs.orst.edu
Ce ZhangETH ZurichVerified email at inf.ethz.ch
Gautam KunapuliMotiveVerified email at gomotive.com
Tina Eliassi-RadProfessor, Northeastern UniversityVerified email at eliassi.org
Vítor Santos CostaProfessor of Computer Science, Universidade do PortoVerified email at dcc.fc.up.pt
Olvi MangasarianProfessor Computer Sciences, University of Wisconsin MadisonVerified email at cs.wisc.edu
Houssam NassifEx-Amazon, MetaVerified email at amazon.com
Raghu RamakrishnanMicrosoftVerified email at microsoft.com
Ines DutraProfessor of Computer Science, University of PortoVerified email at dcc.fc.up.pt
Mark GoadrichProfessor of Computer Science, Hendrix CollegeVerified email at hendrix.edu
Jeremy GoecksAssociate Professor of Computational Biology, Oregon Health & Science UniversityVerified email at ohsu.edu
Jesse DavisProfessor, Department of Computer Science, KU LeuvenVerified email at cs.kuleuven.be
Peter StoneProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Kristin P. BennettProfessor of Mathematical Sciences, Renssealer Polytechnic InstituteVerified email at rpi.edu
Saket JoshiApplied Scientist, AmazonVerified email at amazon.com

Jude Shavlik

Professor of Computer Science and of Biostatistics & Medical Informatics, University of Wisconsin

Verified email at cs.wisc.edu - Homepage

artificial intelligence machine learning computational biology bioinformatics medical informatics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Transfer learning L Torrey, J Shavlik Handbook of research on machine learning applications and trends: algorithms …, 2010	2171	2010
Extracting refined rules from knowledge-based neural networks GG Towell, JW Shavlik Machine learning 13 (1), 71-101, 1993	1206	1993
Knowledge-based artificial neural networks GG Towell, JW Shavlik Artificial intelligence 70 (1-2), 119-165, 1994	1124	1994
Extracting tree-structured representations of trained networks MW Craven, JW Shavlik Advances in neural information processing systems, 24-30, 1996	993	1996
Refinement of approximate domain theories by knowledge-based neural networks GG Towell, JW Shavlik, MO Noordewier Proceedings of the eighth National conference on Artificial intelligence …, 1990	672	1990
Readings in machine learning JW Shavlik, T Dietterich, TG Dietterich Morgan Kaufmann, 1990	532	1990
Symbolic and neural learning algorithms: An experimental comparison JW Shavlik, RJ Mooney, GG Towell Machine learning 6 (2), 111-143, 1991	506	1991
Using sampling and queries to extract rules from trained neural networks, in machine learning MW Craven, JW Shavlik Proceedings of the Eleventh International Conference on Machine Learning, 73-80, 1994	460*	1994
Using sampling and queries to extract rules from trained neural networks MW Craven, JW Shavlik Proceedings of the 11th International Conference on Machine Learning, 37-45, 1994	460	1994
Actively searching for an effective neural network ensemble DW Opitz, JW Shavlik Connection Science 8 (3-4), 337-354, 1996	454	1996
Generating accurate and diverse members of a neural-network ensemble D Opitz, J Shavlik Advances in neural information processing systems 8, 1995	433	1995
Using neural networks for data mining MW Craven, JW Shavlik Future generation computer systems 13 (2-3), 211-229, 1997	423	1997
Tuffy: Scaling up statistical inference in markov logic networks using an rdbms F Niu, C Ré, AH Doan, J Shavlik arXiv preprint arXiv:1104.3216, 2011	355	2011
Learning users' interests by unobtrusively observing their normal behavior J Goecks, J Shavlik Proceedings of the 5th international conference on Intelligent user …, 2000	297	2000
Corleone: Hands-off crowdsourcing for entity matching C Gokhale, S Das, AH Doan, JF Naughton, N Rampalli, J Shavlik, X Zhu Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014	294	2014
Creating advice-taking reinforcement learners R Maclin, JW Shavlik Machine Learning 22 (1), 251-281, 1996	279	1996
DeepDive: Web-scale Knowledge-base Construction using Statistical Learning and Inference. F Niu, C Zhang, C Ré, JW Shavlik VLDS 12, 25-28, 2012	249	2012
Knowledge-based support vector machine classifiers G Fung, OL Mangasarian, J Shavlik Advances in neural information processing systems 15, 521-528, 2002	246	2002
Training knowledge-based neural networks to recognize genes in DNA sequences M Noordewier, G Towell, J Shavlik Advances in neural information processing systems 3, 1990	225	1990
Symbolic and Connectionist Learning Algorithms R Mooney, G Towell Readings in machine learning, 171, 1990	211	1990

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