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Jude W. Shavlik - Publications

Affiliations: 
University of Wisconsin, Madison, Madison, WI 
Area:
Computer Science
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49 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2015 Kuusisto F, Dutra I, Elezaby M, Mendonça EA, Shavlik J, Burnside ES. Leveraging Expert Knowledge to Improve Machine-Learned Decision Support Systems. Amia Joint Summits On Translational Science Proceedings Amia Summit On Translational Science. 2015: 87-91. PMID 26306246  0.422
2015 Khot T, Natarajan S, Kersting K, Shavlik J. Gradient-based boosting for statistical relational learning: the Markov logic network and missing data cases Machine Learning. 100: 75-100. DOI: 10.1007/S10994-015-5481-4  0.793
2015 Natarajan S, Picado J, Khot T, Kersting K, Re C, Shavlik J. Effectively creating weakly labeled training examples via approximate domain knowledge Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9046: 92-107. DOI: 10.1007/978-3-319-23708-4_7  0.694
2014 Li X, Gao W, Shavlik JW. Detecting semantic uncertainty by learning hedge cues in sentences using an HMM Ceur Workshop Proceedings. 1204: 30-37.  0.321
2013 Kunapuli G, Odom P, Shavlik JW, Natarajan S. Guiding autonomous agents to better behaviors through human advice Proceedings - Ieee International Conference On Data Mining, Icdm. 409-418. DOI: 10.1109/ICDM.2013.79  0.353
2012 Soni A, Shavlik JW. Probabilistic ensembles for improved inference in protein-structure determination. Journal of Bioinformatics and Computational Biology. 10: 1240009-1240009. PMID 22809310 DOI: 10.1142/S0219720012400094  0.704
2012 Niu F, Zhang C, Ré C, Shavlik J. Elementary: Large-scale knowledge-base construction via machine learning and statistical inference International Journal On Semantic Web and Information Systems. 8: 42-73. DOI: 10.4018/Jswis.2012070103  0.412
2012 Natarajan S, Khot T, Kersting K, Gutmann B, Shavlik J. Gradient-based boosting for statistical relational learning: The relational dependency network case Machine Learning. 86: 25-56. DOI: 10.1007/S10994-011-5244-9  0.783
2011 Khot T, Natarajan S, Kersting K, Shavlik J. Learning Markov Logic Networks via functional gradient boosting Proceedings - Ieee International Conference On Data Mining, Icdm. 320-329. DOI: 10.1109/ICDM.2011.87  0.785
2011 Kunapuli G, MacLin R, Shavlik JW. Advice refinement in knowledge-based SVMs Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011.  0.358
2010 Ayer T, Alagoz O, Chhatwal J, Shavlik JW, Kahn CE, Burnside ES. Breast cancer risk estimation with artificial neural networks revisited: discrimination and calibration. Cancer. 116: 3310-21. PMID 20564067 DOI: 10.1002/Cncr.25081  0.301
2010 Woods RW, Oliphant L, Shinki K, Page D, Shavlik J, Burnside E. Validation of results from knowledge discovery: mass density as a predictor of breast cancer. Journal of Digital Imaging. 23: 554-61. PMID 19760292 DOI: 10.1007/S10278-009-9235-3  0.696
2010 Natarajan S, Khot T, Lowd D, Tadepalli P, Kersting K, Shavlik J. Exploiting causal independence in markov logic networks: Combining undirected and directed models Aaai Workshop - Technical Report. 58-63. DOI: 10.1007/978-3-642-15883-4_28  0.696
2010 Kunapuli G, Bennett KP, Shabbeer A, MacLin R, Shavlik J. Online knowledge-based support vector machines Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6322: 145-161. DOI: 10.1007/978-3-642-15883-4_10  0.393
2010 Torrey L, Shavlik J. Policy transfer via Markov logic networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5989: 234-248. DOI: 10.1007/978-3-642-13840-9_23  0.756
2010 Torrey L, Shavlik J, Walker T, MacLin R. Transfer learning via advice taking Studies in Computational Intelligence. 262: 147-170. DOI: 10.1007/978-3-642-05177-7_7  0.771
2009 DiMaio FP, Soni AB, Phillips GN, Shavlik JW. Spherical-harmonic decomposition for molecular recognition in electron-density maps. International Journal of Data Mining and Bioinformatics. 3: 205-27. PMID 19517990 DOI: 10.1504/IJDMB.2009.024852  0.688
2009 Chen BC, Ramakrishnan R, Shavlik JW, Tamma P. Bellwether analysis: Searching for cost-effective query-defined predictors in large databases Acm Transactions On Knowledge Discovery From Data. 3. DOI: 10.1145/1497577.1497582  0.366
2008 Blockeel H, Shavlik J, Tadepalli P. Guest editors’ introduction: special issue on inductive logic programming (ILP-2007) Machine Learning. 73: 1-2. DOI: 10.1007/S10994-008-5078-2  0.328
2008 Walker T, Torrey L, Shavlik J, MacLin R. Building relational world models for reinforcement learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4894: 280-291. DOI: 10.1007/978-3-540-78469-2_27  0.76
2008 Torrey L, Shavlik J, Walker T, MacLin R. Relational macros for transfer in reinforcement learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4894: 254-268. DOI: 10.1007/978-3-540-78469-2_25  0.776
2008 Torrey L, Shavlik J, Walker T, Maclin R. Rule extraction for transfer learning Studies in Computational Intelligence. 80: 67-82. DOI: 10.1007/978-3-540-75390-2_3  0.769
2007 DiMaio F, Kondrashov DA, Bitto E, Soni A, Bingman CA, Phillips GN, Shavlik JW. Creating protein models from electron-density maps using particle-filtering methods. Bioinformatics (Oxford, England). 23: 2851-8. PMID 17933855 DOI: 10.1093/Bioinformatics/Btm480  0.707
2006 Molla M, Shavlik J, Richmond T, Smith S. A self-tuning method for one-chip SNP identification. Proceedings. Ieee Computational Systems Bioinformatics Conference. 69-79. PMID 16448001 DOI: 10.1109/CSB.2004.1332419  0.71
2005 Torrey L, Walker T, Shavlik J, MacLin R. Knowledge transfer via advice taking Proceedings of the 3rd International Conference On Knowledge Capture, K-Cap'05. 217-218. DOI: 10.1145/1088622.1088676  0.737
2005 Torrey L, Walker T, Shavlik J, Maclin R. Using advice to transfer knowledge acquired in one reinforcement learning task to another Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3720: 412-424. DOI: 10.1007/11564096_40  0.773
2004 Molla M, Waddell M, Page D, Shavlik J. Using machine learning to design and interpret gene-expression microarrays Ai Magazine. 25: 23-44. DOI: 10.1609/Aimag.V25I1.1745  0.778
2003 Eliassi-Rad T, Shavlik J. A system for building intelligent agents that learn to retrieve and extract information User Modelling and User-Adapted Interaction. 13: 35-88. DOI: 10.1023/A:1024009718142  0.644
2002 Tobler JB, Molla MN, Nuwaysir EF, Green RD, Shavlik JW. Evaluating machine learning approaches for aiding probe selection for gene-expression arrays. Bioinformatics (Oxford, England). 18: S164-71. PMID 12169544  0.764
2002 Gil Y, Musen M, Shavlik J. Report on the first international conference on knowledge capture (K-CAP) Ai Magazine. 23: 107-108. DOI: 10.1609/Aimag.V23I4.1676  0.361
2002 Molla M, Andreae P, Glasner J, Blattner F, Shavlik J. Interpreting Microarray Expression Data Using Text Annotating the Genes Proceedings of the Joint Conference On Information Sciences. 6: 1224-1230. DOI: 10.1016/S0020-0255(02)00216-5  0.786
1999 Allex CF, Shavlik JW, Blattner FR. Neural network input representations that produce accurate consensus sequences from DNA fragment assemblies. Bioinformatics (Oxford, England). 15: 723-8. PMID 10498772 DOI: 10.1093/Bioinformatics/15.9.723  0.33
1997 Craven MW, Shavlik JW. Understanding time series networks: a case study in rule extraction International Journal of Neural Systems. 8: 373-384. PMID 9730015 DOI: 10.1142/S0129065797000380  0.369
1997 Opitz DW, Shavlik JW. Connectionist theory refinement: Genetically searching the space of network topologies Journal of Artificial Intelligence Research. 6: 177-209. DOI: 10.1613/Jair.368  0.375
1997 Craven MW, Shavlik JW. Using neural networks for data mining Future Generation Computer Systems. 13: 211-229. DOI: 10.1016/S0167-739X(97)00022-8  0.422
1996 Opitz DW, Shavlik JW. Actively Searching for an Effective Neural Network Ensemble Connection Science. 8: 337-353. DOI: 10.1080/095400996116802  0.349
1996 Maclin R, Shavlik JW. Creating advice-taking reinforcement learners Machine Learning. 22: 251-281. DOI: 10.1007/Bf00114730  0.484
1995 Pitz DW, Shavlik JW. Dynamically adding symbolically meaningful nodes to knowledge-based neural networks Knowledge-Based Systems. 8: 301-311. DOI: 10.1016/0950-7051(96)81915-0  0.387
1994 Craven MW, Shavlik JW. Machine Learning Approaches to Gene Recognition Ieee Expert-Intelligent Systems and Their Applications. 9: 2-10. DOI: 10.1109/64.294127  0.439
1994 Shavlik JW. Combining Symbolic and Neural Learning Machine Learning. 14: 321-331. DOI: 10.1023/A:1022665814563  0.463
1994 Towell GG, Shavlik JW. Knowledge-based artificial neural networks Artificial Intelligence. 70: 119-165. DOI: 10.1016/0004-3702(94)90105-8  0.507
1993 Towell GG, Shavlik JW. Extracting Refined Rules from Knowledge-Based Neural Networks Machine Learning. 13: 71-101. DOI: 10.1023/A:1022683529158  0.364
1993 Maclin R, Shavlik JW. Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou–Fasman Algorithm for Protein Folding Machine Learning. 11: 195-215. DOI: 10.1007/Bf00993077  0.349
1992 CRAVEN MW, SHAVLIK JW. VISUALIZING LEARNING AND COMPUTATION IN ARTIFICIAL NEURAL NETWORKS International Journal On Artificial Intelligence Tools. 1: 399-425. DOI: 10.1142/S0218213092000260  0.386
1991 Shavlik JW, Mooney RJ, Towell GG. Symbolic and Neural Learning Algorithms: An Experimental Comparison Machine Learning. 6: 111-143. DOI: 10.1023/A:1022602303196  0.687
1990 Shavlik JW. Acquiring Recursive and Iterative Concepts with Explanation-Based Learning Machine Learning. 5: 39-70. DOI: 10.1023/A:1022659708512  0.515
1990 Shavlik JW, DeJong GF. Acquiring general iterative concepts by reformulating explanations observed examples Machine Learning. 302-350. DOI: 10.1016/B978-0-08-051055-2.50018-3  0.762
1990 Shavlik JW, DeJong GF. Learning in mathematically-based domains: Understanding and generalizing obstacle cancellations Artificial Intelligence. 45: 1-45. DOI: 10.1016/0004-3702(90)90036-Y  0.773
1989 Shavlik JW, Towell GG. An Approach to Combining Explanation-based and Neural Learning Algorithms Connection Science. 1: 231-253. DOI: 10.1080/09540098908915640  0.511
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