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Author anyAckermann, Chris Aggarwal, Charu Amantullah, Brian Ariel, Fuxman Arredondo, Jaime Arredondo, Jaime Arti, Ramesh Augustine, Eriq Babaki, Behrouz Bach, Stephen H.Bach, Stephen Barash, Vladimir Beard, Mitchell Bengio, Yoshua Bert, Huang Bhattacharya, Indrajit Bhattacharya, Indrajit Bilgic, Mustafa Bilgic, Mustafa Blake, Brian Blondeel, Marjon Borgatti, Steve Boyd-Graber, Jordan Bradley, Skaggs Broecheler, Matthias Broecheler, Matthias Brownstein, John Brownstein, John Butler, Patrick Cadena, Jose Carlson, Bjorn Carstea, Eugene Chajewska, Ursulza Chang, Johnnie Chen, Daozheng Chen, Yunfei Chen, Robert Choi, Jonghyun Cohen, William Cook, Diane Daozheng, Chen Daume, Hal David, Jacobs Davis, Larry Davis, Larry De Cock, Martine Deshpande, Amol Deshpande, Amol Dhanya, Sridhar Diehl, Christopher Dietterich, Thomas Djeraba, Chabane Domingos, Pedro Dong, Xin LunaDong, Luna Dong, Xin LunaDoppa, Janardhan Doyle, Andy Dzeroski, Saso Eirinaki, Magdalini Eliassi-Rad, Tina Elsayed, Tamer Embar, Varun Eric, Norris Fakhraei, Shobeir Fakhraei, Shobeir Faloutsos, Christos Farnadi, Golnoosh Fayed, Youssef Feldman, Ronen Ford, Jim Foulds, James Foulds, James Friedman, Nir Friedman, Nir Friedman, Mark Fromherz, Markus Gallagher, Brian Gazen, Bora C.Getoor, Lise Ghosh, Saurav Ghosh, Saurav Golbeck, Jennifer Golbeck, Jennifer Goldwasser, Dan Goldwasser, Dan Grant, John Grossman, Robert Grycner, Adam Grycner, Adam Guiver, John Gupta, Dipak Gupta, Dipak Haidarian-Shahri, Hamid Halgin, Daniel Han, Jiawei He, Xinran Healy, Patrick Holder, Lawrence Hollis, Victoria Hossam, Sharara Huang, Bert Huang, Bert Hung, Edward Hwang, Heasoo III, Hal DaumeIslamaj, Rezarta Islamaj, Rezarta Isley, Steve Jacobs, David Jaebong, Yoo Janet, Mann Jay, Pujara Jihie, Kim Jr., Nick ShortKang, Jeonhyung Kang, Hyunmo Katz, Graham Katz, Graham Kayali, Moe Khamis, Sameh Khandpur, Rupinder Kim, Sungchul Kimmig, Angelika Kimmig, Angelika Kini, Nikhil Knoblock, Craig Koehly, Laura Koehly, Laura Koh, Eunyee Kok, Stanley Kolcz, Alek Koller, Daphne Koller, Daphne Korkmaz, Gizem Kouki, Pigi Kouki, Pigi Kuhlman, Christopher Kumar, Shachi Kumar, Shachi Kuter, Ugur Lansky, Amy Lauw, Hady Lavedan, Christian Lavrac, Nada Lerman, Kristina Licamele, Louis Lilyana, Mihalkova Lisa, Singh Liu, Xiangyang Liu, Huan Liu, Yan London, Ben London, Ben Lu, Qing Machanavajjhala, Ashwin Machanavajjhala, Ashwin Mack, Kendra Macskassy, Sofus Mann, Janet Marathe, Achla Marcum, Christopher Marcum, Christopher Mares, David Mares, David Maulik, Ujjwal Mekaru, Sumiko Mekaru, Sumiko Memory, Alex Memory, Alex Miao, Hui Miao, Hui Michelson, Matthew Mihalkova, Lilyana Milic-Frayling, Natasa Miller, Renee Miller, Renee JMinton, Steve Minton, Steven Mitkus, Shruti Moens, Marie-Francine Motoda, Hiroshi Mount, Stephen Moustafa, Walaa EldinMoustafa, Walaa Moustafa, Walaa Muggleton, Stephen Mustafa, Bilgic Muthiah, Sathappan Myra, Norton Namata, Galileo MarkNamata, Galileo Namata, Galileo Navlakha, Saket Nikolov, Nikola S.Norman, Joseph Norton, Myra Nsoesie, Elaine Nsoesie, Elaine Ntoulas, Alexcandros O'Donovan, John O'Leary, Dianne ODonovan, John Oard, Doug Odonovan, John Onukwugha, Eberechukwu Ottosson, Gregor Panagiotis, Papadimitriou Panayiotis, Tsaparas Parikh, Harsh Pfeffer, Avi Pfeffer, Avi Piatetsky-Shapiro, Gregory Plangprasopchok, Anon Polymeropoulos, Mihales Polyzotis, Neoklis Pujara, Jay Pujara, Jay Ramakrishnan, Naren Ramakrishnan, Naren Ramesh, Arti Ramesh, Arti Rand, William Rao, Nikhil SRaschid, Louiqa Raschid, Louiqa Rastegari, Mohammad Rathod, Priyang Rekatsinas, Theodoros Rekatsinas, Theodoros Rhee, Jeanne Riloff, Ellen Rodrigues, Eduarda MendesRodriguez, Mario Roussopoulos, Nick Roy, Sudeepa Saha, Barna Sahami, Mehran Salami, Babak Saraf, Parang Sarawagi, Sunita Sayyadi, Hassan Schaffer, James Schaffer, James Scheffer, Tobias Schmidler, Scott Schnaitter, Karl See, Kane Segal, Eran Sehgal, Vivek Self, Nathan Sen, Prithviraj Sen, Prithviraj Shahar, Yuval Sharara, Hossam Sharara, Hossam Shashanka, Madhusudana Shitian, Shen Shneiderman, Ben Singh, Lisa Sisman, Bunyamin Skomoroch, Peter Small, Peter Smith, Marc Somasundaran, Swapna Sopan, Awalin Springer, Aaron Sridhar, Dhanya Srinivasan, Aravind Srinivasan, Sriram Srivastava, Ashok Srivastava, Divesh Srivastava, Divesh Staats, Brian Stephen, Bach Subbaian, Karthik Subrahmanian, V. S.Suciu, Dan Summers, Kristin Tadepalli, Prasad Taskar, Benjamin Terzi, Evimaria Thompson, Spencer K.Ting, Hua Tom, Yeh Tomkins, Sabina Tomkins, Sabina Trinh, Khoa Udrea, Octavian Viechnicki, Peter Volpi, Simona Vullikanti, Anil Walker, Marilyn Wang, Wei Wei, Hao Weikum, Gerhard Weikum, Gerhard Welser, Howard Whittaker, Steve Wiebe, Janyce Wilbur, John Wilbur, John Yu, Philip Yu, Jun Zaki, Mohammed Zavorin, Ilya Zhang, Yi Zhang, Yue Zhao, Liang Zhao, Bin Zheleva, Elena Zheleva, Elena desJardins, Marie

Type anyConference PaperJournal ArticleThesisTutorialBookUnpublished

Term any

Year any20202019201820172016201520142013201220112010200920082007200620052004200320022001200019991998199719951994

Keyword anyCognitionComparative AnalysisComplexity theoryData engineeringDiscussion ForumsFirst-order probabilistic modelsHL-MRFsKnowledge engineeringLDALifted inference and learningMOOCMOOC Discussion ForumsMOOCsMetadataModel ComparisonOnline CoursesPAC-BayesPar-factor graphsProbabilistic logicProbabilistic programmingSRLSchema mappingSeeded LDASocio-behavioral modelsStatistical relational learningTask analysisTemplated graphical modelsUncertain GraphsVisualizing Uncertaintyanonymity onlinebioinformatics gene expression analysis antipsychotic pharmacogeneticscollective classificationcollective mapping discoverydata integrationdefectfeature generationfunctional biological signalsgene expression bioinformatics drug therapeuticsgeneralization boundsgroupshigh school MOOCsinference mechanismsinfluencelatent variable modelslearner engagementlearning analyticslearning theorymeta dataonline educationoptimisationoptimizationpotential mappingsprivacyprobabilistic modelingprobabilistic reasoning techniquesprobabilistic soft logicprobabilityprofessional networksschema mapping optimization problemsearchsensitive attribute inferencesocial mediasocial networkssplice-sitestatistical relational languagestructured predictionstudent learningtutorialuncertainty handlingweb

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2019

A. Kimmig, Memory, A., Miller, R. J., and Getoor, L., “A Collective, Probabilistic Approach to Schema Mapping Using Diverse Noisy Evidence”, IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 31, no. 8, p. 1426--1439, 2019.

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kimming-tkde19.pdf (713.64 KB)

A. Kimmig, Memory, A., Miller, R. J., and Getoor, L., “A Collective, Probabilistic Approach to Schema Mapping Using Diverse Noisy Evidence”, IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 31, no. 8, p. 1426--1439, 2019.

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kimming-tkde19.pdf (713.64 KB)

2018

P. Kouki, Pujara, J., Marcum, C., Koehly, L., and Getoor, L., “Collective Entity Resolution in Multi-Relational Familial Networks”, Knowledge and Information Systems (KAIS), vol. 61, no. 3, p. 1547-–1581, 2018.

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kouki-kais18.pdf (1.17 MB)

S. Tomkins, Farnadi, G., Amantullah, B., Getoor, L., and Minton, S., “The Impact of Environmental Stressors on Human Trafficking”, in ICWSM Workshop on Beyond Online Data (BOD), 2018.

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tomkins-bod18.pdf (473.58 KB)

S. Tomkins, Farnadi, G., Amantullah, B., Getoor, L., and Minton, S., “The Impact of Environmental Stressors on Human Trafficking”, in International Conference on Data Mining (ICDM), 2018.

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tomkins-icdm18.pdf (473.58 KB)

2017

P. Kouki, Pujara, J., Marcum, C., Koehly, L., and Getoor, L., “Collective Entity Resolution in Familial Networks”, in IEEE International Conference on Data Mining (ICDM), 2017.

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kouki-icdm17.pdf (653.4 KB)

A. Kimmig, Memory, A., Miller, R., and Getoor, L., “A Collective, Probabilistic Approach to Schema Mapping”, in International Conference on Data Engineering (ICDE), 2017.

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kimmig-icde17.pdf (463.69 KB)

A. Kimmig, Memory, A., Miller, R., and Getoor, L., “A Collective, Probabilistic Approach to Schema Mapping”, in International Conference on Data Engineering (ICDE), 2017.

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kimmig-icde17.pdf (463.69 KB)

G. Farnadi, Bach, S. H., Moens, M. - F., Getoor, L., and De Cock, M., “Soft quantification in statistical relational learning”, Machine Learning Journal, 2017.

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farnadi-mlj17.pdf (1.24 MB)

2016

S. Muthiah, Huang, B., Arredondo, J., Mares, D., Getoor, L., Katz, G., and Ramakrishnan, N., “Capturing Planned Protests from Open Source Indicators”, AI Mag, vol. 37, pp. 63–75, 2016.

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muthiah-aimag16.pdf (1.23 MB)

S. Muthiah, Huang, B., Arredondo, J., Mares, D., Getoor, L., Katz, G., and Ramakrishnan, N., “Capturing Planned Protests from Open Source Indicators”, AI Mag, vol. 37, pp. 63–75, 2016.

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muthiah-aimag16.pdf (1.23 MB)

P. Kouki, Marcum, C., Koehly, L., and Getoor, L., “Entity Resolution in Familial Networks”, in MLG, 2016.

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kouki-mlg16.pdf (633.08 KB)

S. Kumar, Pujara, J., Getoor, L., Mares, D., Gupta, D., and Riloff, E., “Unsupervised Models for Predicting Strategic Relations between Organizations”, in ASONAM, 2016.

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kumar-asonam16.pdf (212.61 KB)

2015

T. Rekatsinas, Ghosh, S., Mekaru, S., Nsoesie, E., Brownstein, J., Getoor, L., and Ramakrishnan, N., “Forecasting Rare Disease Outbreaks Using Multiple Data Sources”, STAT ANAL DATA MIN, 2015.

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A. Kimmig, Mihalkova, L., and Getoor, L., “Lifted graphical models: a survey”, Machine Learning Journal, vol. 99, pp. 1–45, 2015.

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kimmig-mlj15.pdf (785.58 KB)

T. Rekatsinas, Ghosh, S., Mekaru, S., Nsoesie, E., Brownstein, J., Getoor, L., and Ramakrishnan, N., “SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources”, in 2015 SIAM International Conference on Data Mining (SDM15), 2015.

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rekatsinasSDM2015.pdf (303.08 KB)

G. Farnadi, Bach, S. H., Blondeel, M., Moens, M. - F., Getoor, L., and De Cock, M., “Statistical Relational Learning with Soft Quantifiers”, in International Conference on Inductive Logic Programming (ILP), 2015.

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farnadi-ilp15.pdf (578.43 KB)

J. Pujara, Miao, H., Getoor, L., and Cohen, W., “Using Semantics & Statistics to Turn Data into Knowledge”, AI Magazine, vol. 36, pp. 65–74, 2015.

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pujara_aimag15.pdf (359.48 KB)

2014

N. Ramakrishnan, Butler, P., Self, N., Khandpur, R., Saraf, P., Wang, W., Cadena, J., Vullikanti, A., Korkmaz, G., Kuhlman, C., Marathe, A., Zhao, L., Ting, H., Huang, B., Srinivasan, A., Trinh, K., Getoor, L., Katz, G., Doyle, A., Ackermann, C., Zavorin, I., Ford, J., Summers, K., Fayed, Y., Arredondo, J., Gupta, D., and Mares, D., “‘Beating the news’ with EMBERS: Forecasting Civil Unrest using Open Source Indicators”, in ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2014.

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ramakrishnan-kdd14.pdf (1.15 MB)

N. Ramakrishnan, Butler, P., Self, N., Khandpur, R., Saraf, P., Wang, W., Cadena, J., Vullikanti, A., Korkmaz, G., Kuhlman, C., Marathe, A., Zhao, L., Ting, H., Huang, B., Srinivasan, A., Trinh, K., Getoor, L., Katz, G., Doyle, A., Ackermann, C., Zavorin, I., Ford, J., Summers, K., Fayed, Y., Arredondo, J., Gupta, D., and Mares, D., “‘Beating the news’ with EMBERS: Forecasting Civil Unrest using Open Source Indicators”, in ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2014.

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ramakrishnan-kdd14.pdf (1.15 MB)

G. Farnadi, Bach, S. H., Moens, M. - F., Getoor, L., and De Cock, M., “Extending PSL with Fuzzy Quantifiers”, in International Workshop on Statistical Relational Artificial Intelligence (StaRAI), 2014.

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farnadi-starai14.pdf (196.15 KB)

A. Kimmig, Mihalkova, L., and Getoor, L., “Lifted graphical models: a survey”, Machine Learning, pp. 1-45, 2014.

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W. Eldin Moustafa, Kimmig, A., Deshpande, A., and Getoor, L., “Subgraph Pattern Matching over Uncertain Graphs with Identity Linkage Uncertainty”, in International Conference on Data Engineering (ICDE), 2014.

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ICDE14_conf_full_374.pdf (1.57 MB)

2013

L. Getoor and Machanavajjhala, A., “Entity Resolution in Big Data”, in KDD, 2013.

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getoor-kdd13.pdf (7.16 MB)

W. Moustafa, Miao, H., Deshpande, A., and Getoor, L., “GrDB: A System for Declarative and Interactive Analysis of Noisy Information Networks”, in SIGMOD, 2013.

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moustafa-sigmod13.pdf (1.1 MB)

W. Moustafa, Miao, H., Deshpande, A., and Getoor, L., “GrDB: A System for Declarative and Interactive Analysis of Noisy Information Networks”, in SIGMOD, 2013.

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moustafa-sigmod13.pdf (1.1 MB)

H. Miao, Liu, X., Huang, B., and Getoor, L., “A Hypergraph-Partitioned Vertex Programming Approach for Large-scale Consensus Optimization”, in 2013 IEEE International Conference on Big Data, 2013.

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miao-bd13.pdf (307.51 KB)

J. Pujara, Miao, H., and Getoor, L., “Joint Judgments with a Budget: Strategies for Reducing the Cost of Inference”, in ICML Workshop on Machine Learning with Test-Time Budgets, 2013.

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pujara_wtbudg13.pdf (221.26 KB)

J. Pujara, Miao, H., Getoor, L., and Cohen, W., “Knowledge Graph Identification”, in International Semantic Web Conference (ISWC), 2013.

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pujara_iswc13.pdf (508.7 KB)

J. Pujara, Miao, H., Getoor, L., and Cohen, W., “Large-Scale Knowledge Graph Identification using PSL”, in ICML Workshop on Structured Learning (SLG), 2013.

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pujara_slg13.pdf (277.63 KB)

J. Pujara, Miao, H., Getoor, L., and Cohen, W., “Large-Scale Knowledge Graph Identification using PSL”, in AAAI Fall Symposium on Semantics for Big Data, 2013.

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pujara_s4bd13.pdf (306.96 KB)

J. Pujara, Miao, H., Getoor, L., and Cohen, W., “Ontology-Aware Partitioning for Knowledge Graph Identification”, in CIKM Workshop on Automatic Knowledge Base Construction, 2013.

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pujara_akbc13.pdf (370.62 KB)

2012

W. Eldin Moustafa, Deshpande, A., and Getoor, L., “Ego-centric Graph Pattern Census”, in International Conference on Data Engineering (ICDE), 2012.

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moustafaicde.pdf (2.27 MB)

L. Getoor and Machanavajjhala, A., “Entity Resolution: Theory, Practice & Open Challenges”, in International Conference on Very Large Data Bases, 2012.

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p2018_lisegetoor_vldb2012.pdf (89.45 KB)

L. Getoor and Machanavajjhala, A., “Entity Resolution: Theory, Practice, and Open Challenges”, in AAAI Conference on Artificial Intelligence, 2012.

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L. Getoor and Machanavajjhala, A., “Entity Resolution for Social Network Analysis and Mining”, in IEEE ACM International Conference on Advances in Social Networks Analysis and Mining, 2012.

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A. Memory, Kimmig, A., Bach, S. H., Raschid, L., and Getoor, L., “Graph Summarization in Annotated Data Using Probabilistic Soft Logic”, in Proceedings of the International Workshop on Uncertainty Reasoning for the Semantic Web (URSW), 2012.

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mrc_iswc12_ws.pdf (411.71 KB)

2011

C. Daozheng, Mustafa, B., Getoor, L., David, J., Lilyana, M., and Tom, Y., “Active Inference for Retrieval in Camera Networks”, in IEEE Workshop on Person-Oriented Vision, 2011.

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chen-wpov11.pdf (1.53 MB)

S. Hossam, Getoor, L., and Myra, N., “Active Surveying: A Probabilistic Approach for Identifying Key Opinion Leaders”, in IJCAI, 2011.

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sharara-ijcai11.pdf (349.39 KB)

W. Moustafa, Namata, G., Deshpande, A., and Getoor, L., “Declarative Analysis of Noisy Information Networks”, in ICDE Workshop on GDM, 2011.

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moustafa-gdm11.pdf (1.55 MB)

C. Daozheng, Mustafa, B., Getoor, L., and David, J., “Dynamic Processing Allocation in Video”, PAMI, vol. 33, pp. 2174-2187, 2011.

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chen-pami11.pdf (1.16 MB)

L. Getoor and Mihalkova, L., “Exploiting Statistical and Relational Information on the Web and in Social Media”. 2011.

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getoor-sdm11.pdf (88.88 KB)

S. Minton, Michelson, M., See, K., Macskassy, S., Gazen, B. C., and Getoor, L., “Improving Classifier Performance by Autonomously Collecting Background Knowledge from the Web”, in Tenth International Conference on Machine Learning and Applications, 2011.

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minton-icmla2011.pdf (733.09 KB)

S. Minton, Michelson, M., See, K., Macskassy, S., Gazen, B. C., and Getoor, L., “Improving Classifier Performance by Autonomously Collecting Background Knowledge from the Web”, in Tenth International Conference on Machine Learning and Applications, 2011.

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minton-icmla2011.pdf (733.09 KB)

S. Minton, Michelson, M., See, K., Macskassy, S., Gazen, B. C., and Getoor, L., “Improving Classifier Performance by Autonomously Collecting Background Knowledge from the Web”, in Tenth International Conference on Machine Learning and Applications, 2011.

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minton-icmla2011.pdf (733.09 KB)

L. Mihalkova, Moustafa, W. Eldin, and Getoor, L., “Learning to Predict Web Collaborations”, in WSDM Workshop on User Modeling for Web Applications, 2011.

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mihalkova-wikiCollabs.pdf (353.9 KB)

L. Mihalkova, Moustafa, W. Eldin, and Getoor, L., “Learning to Predict Web Collaborations”, in WSDM Workshop on User Modeling for Web Applications, 2011.

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mihalkova-wikiCollabs.pdf (353.9 KB)

L. Mihalkova and Getoor, L., “Lifted Graphical Models: A Survey”. 2011.

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1107.4966v2.pdf (446.54 KB)

H. Sharara, Singh, L., Getoor, L., and Mann, J., “Understanding Actor Loyalty to Event-Based Groups in Affiliation Networks”, Journal of Advances in Social Networks Analysis and Mining, vol. 1, pp. 115–126, 2011.

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2010

M. Bilgic, Mihalkova, L., and Getoor, L., “Active Learning for Networked Data”, in Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010.

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bilgic-icml10.pdf (515.65 KB)

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