Mustafa Bilgic

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Lise GetoorProfessor of Computer Science, University of California, Santa CruzVerified email at ucsc.edu
Prithviraj SenIBM ResearchVerified email at us.ibm.com
Manali SharmaIllinois Institute of TechnologyVerified email at hawk.iit.edu
Brian GallagherComputer Scientist, Lawrence Livermore National LaboratoryVerified email at llnl.gov
Tina Eliassi-RadProfessor of Computer Science, Northeastern UniversityVerified email at eliassi.org
Ben ShneidermanProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Raymond MooneyProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Maria E. Ramirez-LoaizaPh.D. Computer Science, Illinois Institute of TechnologyVerified email at hawk.iit.edu
David W. JacobsProfessor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
Aron CulottaAssociate Professor of Computer Science, Tulane UniversityVerified email at tulane.edu
Caner KomurluPh. D. Student, Illinois Institute of TechnologyVerified email at hawk.iit.edu
Kamalika Das, PhDData Science, IntuitVerified email at vmware.com
Nikunj OzaNASAVerified email at nasa.gov
Ali CinarIllinois Institute of TechnologyVerified email at iit.edu
Eric BreyDepartment of Biomedical Engineering and Chemical Engineering, University of Texas at San AntonioVerified email at utsa.edu
Paul N. BennettPartner Research Manager, Microsoft ResearchVerified email at microsoft.com
Tom YehUniversity of Colorado BoulderVerified email at colorado.edu
Matthew A. ShapiroAssociate Professor of Political Science, Illinois Institute of TechnologyVerified email at iit.edu
Hamid MehdizadehPfizer IncVerified email at pfizer.com
Ping LiuPh.D. candidate, Illinois Institute of TechnologyVerified email at hawk.iit.edu

Mustafa Bilgic

Illinois Institute of Technology

Verified email at iit.edu - Homepage

Interactive Machine Learning Active Learning Interpretable Machine Learning Statistical Relational Learning


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Collective classification in network data P Sen, G Namata, M Bilgic, L Getoor, B Galligher, T Eliassi-Rad AI magazine 29 (3), 93-93, 2008	1748	2008
Explaining recommendations: Satisfaction vs. promotion M Bilgic, RJ Mooney Beyond Personalization Workshop, IUI 5, 153, 2005	288	2005
Active learning for networked data M Bilgic, L Mihalkova, L Getoor ICML, 2010	167	2010
Combining collective classification and link prediction M Bilgic, GM Namata, L Getoor Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007 …, 2007	150	2007
D-dupe: An interactive tool for entity resolution in social networks M Bilgic, L Licamele, L Getoor, B Shneiderman 2006 IEEE Symposium on Visual Analytics Science and Technology, 43-50, 2006	120	2006
Effective label acquisition for collective classification M Bilgic, L Getoor Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	87	2008
Interactive entity resolution in relational data: A visual analytic tool and its evaluation H Kang, L Getoor, B Shneiderman, M Bilgic, L Licamele IEEE transactions on visualization and computer graphics 14 (5), 999-1014, 2008	85	2008
Active learning: an empirical study of common baselines ME Ramirez-Loaiza, M Sharma, G Kumar, M Bilgic Data mining and knowledge discovery 31 (2), 287-313, 2017	75	2017
Voila: Efficient feature-value acquisition for classification M Bilgic, L Getoor Proceedings of the national conference on artificial intelligence 22 (2), 1225, 2007	60	2007
Evidence-based uncertainty sampling for active learning M Sharma, M Bilgic Data Mining and Knowledge Discovery 31 (1), 164-202, 2017	52	2017
Active inference for collective classification M Bilgic, L Getoor Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 2010	33	2010
Reflect and correct: A misclassification prediction approach to active inference M Bilgic, L Getoor ACM Transactions on Knowledge Discovery from Data (TKDD) 3 (4), 1-32, 2009	32	2009
Link-based active learning M Bilgic, L Getoor NIPS Workshop on Analyzing Networks and Learning with Graphs 4, 2009	25	2009
Active Learning with Rationales for Text Classiﬁcation M Sharma, D Zhuang, M Bilgic The 2015 Annual Conference of the North American Chapter of the ACL - Human …, 2015	24*	2015
Most-Surely vs. Least-Surely Uncertain M Sharma, M Bilgic IEEE 13th International Conference on Data Mining (ICDM), 667-676, 2013	22	2013
Value of information lattice: Exploiting probabilistic independence for effective feature subset acquisition M Bilgic, L Getoor Journal of Artificial Intelligence Research 41, 69-95, 2011	21	2011
Collective classification for text classification G Namata, P Sen, M Bilgic, L Getoor, M Sahami, A Srivastava Text Mining, 51-69, 2009	19	2009
Explanation for recommender systems: satisfaction vs. promotion M Bilgic, R Mooney, E Rich Computer Sciences Austin, University of Texas. Undergraduate Honors 27, 2004	19	2004
Active learning with rationales for identifying operationally significant anomalies in aviation M Sharma, K Das, M Bilgic, B Matthews, D Nielsen, N Oza Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016	16	2016
Active inference and dynamic gaussian bayesian networks for battery optimization in wireless sensor networks C Komurlu, M Bilgic Workshops at the Thirtieth AAAI Conference on Artificial Intelligence, 2016	15	2016

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