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Thorsten Joachims - Publications

Affiliations: 
Cornell University, Ithaca, NY, United States 
Area:
Artificial Intelligence, Computer Science
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30 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 Jain A, Sharma S, Joachims T, Saxena A. Learning preferences for manipulation tasks from online coactive feedback International Journal of Robotics Research. 34: 1296-1313. DOI: 10.1177/0278364915581193  0.351
2015 Luaces O, Díez J, Joachims T, Bahamonde A. Mapping preferences into Euclidean space Expert Systems With Applications. 42: 8588-8596. DOI: 10.1016/J.Eswa.2015.07.013  0.322
2015 Díez J, Gamboa E, Cossío TGD, Luaces O, Joachims T, Bahamonde A. Analysis of nutrition data by means of a matrix factorization method Progress in Artificial Intelligence. 3: 119-127. DOI: 10.1007/S13748-015-0062-0  0.308
2014 Sipos R, Ghosh A, Joachims T. Was this review helpful to you? It depends! Context and voting patterns in online content Www 2014 - Proceedings of the 23rd International Conference On World Wide Web. 337-347. DOI: 10.1145/2566486.2567998  0.659
2013 Anand A, Koppula HS, Joachims T, Saxena A. Contextually guided semantic labeling and search for three-dimensional point clouds International Journal of Robotics Research. 32: 19-34. DOI: 10.1177/0278364912461538  0.347
2013 Sipos R, Joachims T. Generating comparative summaries from reviews International Conference On Information and Knowledge Management, Proceedings. 1853-1856. DOI: 10.1145/2505515.2507879  0.682
2012 Sipos R, Swaminathan A, Shivaswamy P, Joachims T. Temporal corpus summarization using submodular word coverage Acm International Conference Proceeding Series. 754-763. DOI: 10.1145/2396761.2396857  0.653
2012 Chapelle O, Joachims T, Radlinski F, Yue Y. Large-scale validation and analysis of interleaved search evaluation Acm Transactions On Information Systems. 30. DOI: 10.1145/2094072.2094078  0.356
2010 Xu Z, Kersting K, Joachims T. Fast active exploration for link-based preference learning using gaussian processes Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6323: 499-514. DOI: 10.1007/978-3-642-15939-8_32  0.309
2009 Joachims T, Hofmann T, Yue Y, Yu CN. Predicting structured objects with support vector machines Communications of the Acm. 52: 97-104. DOI: 10.1145/1592761.1592783  0.362
2009 Yue Y, Broder J, Kleinberg R, Joachims T. The K-armed dueling bandits problem Colt 2009 - the 22nd Conference On Learning Theory. DOI: 10.1016/J.Jcss.2011.12.028  0.333
2009 Joachims T, Yu CNJ. Sparse kernel SVMs via cutting-plane training Machine Learning. 76: 179-193. DOI: 10.1007/s10994-009-5126-6  0.401
2009 Joachims T, Finley T, Yu CNJ. Cutting-plane training of structural SVMs Machine Learning. 77: 27-59. DOI: 10.1007/S10994-009-5108-8  0.47
2009 Shaparenko B, Joachims T. Identifying the original contribution of a document via language modeling Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5782: 350-365. DOI: 10.1007/978-3-642-04174-7_23  0.663
2008 Yu CN, Joachims T, Elber R, Pillardy J. Support vector training of protein alignment models. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 15: 867-80. PMID 18707536 DOI: 10.1089/Cmb.2007.0152  0.466
2008 Yu CNJ, Joachims T. Training structural svms with kernels using sampled cuts Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 794-802. DOI: 10.1145/1401890.1401985  0.455
2008 Finley T, Joachims T. Training structural SVMs when exact inference is intractable Proceedings of the 25th International Conference On Machine Learning. 304-311.  0.414
2007 Shaparenko B, Joachims T. Information genealogy: Uncovering the flow of ideas in non-hyperlinked document databases Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 619-628. DOI: 10.1145/1281192.1281259  0.689
2007 Joachims T, Granka L, Pan B, Hembrooke H, Radlinski F, Gay G. Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search Acm Transactions On Information Systems. 25. DOI: 10.1145/1229179.1229181  0.35
2007 Joachims T, Radlinski F. Search engines that learn from implicit feedback Computer. 40: 34-40. DOI: 10.1109/Mc.2007.289  0.367
2007 Domshlak C, Joachims T. Efficient and non-parametric reasoning over user preferences User Modeling and User-Adapted Interaction. 17: 41-69. DOI: 10.1007/S11257-006-9022-5  0.339
2006 Lorigo L, Pan B, Hembrooke H, Joachims T, Granka L, Gay G. The influence of task and gender on search and evaluation behavior using Google Information Processing and Management. 42: 1123-1131. DOI: 10.1016/J.Ipm.2005.10.001  0.303
2006 Joachims T. Structured output prediction with support vector machines Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4109: 1-7. DOI: 10.1007/11815921_1  0.461
2006 Radlinski F, Joachims T. Minimally invasive randomization for collecting unbiased preferences from clickthrough logs Proceedings of the National Conference On Artificial Intelligence. 2: 1406-1412.  0.325
2006 Joachims T. Training linear SVMs in linear time Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 2006: 217-226.  0.359
2004 Ginsparg P, Houle P, Joachims T, Sul JH. Mapping subsets of scholarly information. Proceedings of the National Academy of Sciences of the United States of America. 101: 5236-40. PMID 14766973 DOI: 10.1073/Pnas.0308253100  0.322
2004 Caruana R, Joachims T, Backstrom L. KDD-Cup 2004 Acm Sigkdd Explorations Newsletter. 6: 95-108. DOI: 10.1145/1046456.1046470  0.308
2003 Joachims T. Transductive Learning via Spectral Graph Partitioning Proceedings, Twentieth International Conference On Machine Learning. 1: 290-297.  0.38
2002 Joachims T. Optimizing search engines using clickthrough data Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 133-142.  0.373
1998 Joachims T. Making large scale SVM learning practical Technical Reports. DOI: 10.17877/De290R-14262  0.439
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