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    First name: Lise
    Last name: Getoor
    DBLP: g/LiseGetoor
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    Conference paper
    Galileo Namata, Ben London, Lise Getoor.
    Collective Graph Identification.
    TKDD 2015, Volume 10 (0) 2016
    Conference paper
    Theodoros Rekatsinas, Amol Deshpande, Xin Dong 0001, Lise Getoor, Divesh Srivastava.
    SourceSight: Enabling Effective Source Selection.
    Proceedings of the 2016 International Conference on Management of Data, SIGMOD Conference 2016, San Francisco, CA, USA, June 26 - July 01, 2016 2016 (0) 2016
    Conference paper
    Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan.
    Capturing Planned Protests from Open Source Indicators.
    AI Magazine 2016, Volume 37 (0) 2016
    Journal article
    Jay Pujara, Lise Getoor.
    Generic Statistical Relational Entity Resolution in Knowledge Graphs.
    CoRR 2016, Volume 0 (0) 2016
    Journal article
    Shobeir Fakhraei, Dhanya Sridhar, Jay Pujara, Lise Getoor.
    Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Sabina Tomkins, Arti Ramesh, Lise Getoor.
    Predicting Post-Test Performance from Student Behavior: A High School MOOC Case Study.
    Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, Raleigh, North Carolina, USA, June 29 - July 2, 2016 2016 (0) 2016
    Conference paper
    Dhanya Sridhar, Shobeir Fakhraei, Lise Getoor.
    A probabilistic approach for collective similarity-based drug-drug interaction prediction.
    Bioinformatics 2016, Volume 32 (0) 2016
    Conference paper
    Shachi H. Kumar, Jay Pujara, Lise Getoor, David Mares, Dipak Gupta, Ellen Riloff.
    Unsupervised models for predicting strategic relations between organizations.
    2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, San Francisco, CA, USA, August 18-21, 2016 2016 (0) 2016
    Conference paper
    Brian Uzzi, Lise Getoor, Evimaria Terzi, Lada A. Adamic.
    ASONAM 2016 keynotes: Ideas and inventions.
    2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, San Francisco, CA, USA, August 18-21, 2016 2016 (0) 2016
    Conference paper
    V. S. Subrahmanian, Lada A. Adamic, Lise Getoor, Evimaria Terzi, Brian Uzzi, Lisa Singh.
    ASONAM 2016 panel: Social network analysis for social good.
    2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, San Francisco, CA, USA, August 18-21, 2016 2016 (0) 2016
    Conference paper
    Theodoros Rekatsinas, Xin Dong 0001, Lise Getoor, Divesh Srivastava.
    Finding Quality in Quantity: The Challenge of Discovering Valuable Sources for Integration.
    CIDR 2015, Seventh Biennial Conference on Innovative Data Systems Research, Asilomar, CA, USA, January 4-7, 2015, Online Proceedings 2015 (0) 2015
    Journal article
    Angelika Kimmig, Lilyana Mihalkova, Lise Getoor.
    Lifted graphical models: a survey.
    Machine Learning 2015, Volume 99 (0) 2015
    Conference paper
    Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan.
    Planned Protest Modeling in News and Social Media.
    Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA. 2015 (0) 2015
    Journal article
    Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen.
    Using Semantics and Statistics to Turn Data into Knowledge.
    AI Magazine 2015, Volume 36 (0) 2015
    Conference paper
    Stephen H. Bach, Bert Huang, Lise Getoor.
    Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees.
    Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2015, San Diego, California, USA, May 9-12, 2015 2015 (0) 2015
    Journal article
    Stephen H. Bach, Matthias Broecheler, Bert Huang, Lise Getoor.
    Hinge-Loss Markov Random Fields and Probabilistic Soft Logic.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Xinran He, Theodoros Rekatsinas, James R. Foulds, Lise Getoor, Yan Liu.
    HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades.
    Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, Lille, France, 6-11 July 2015 2015 (0) 2015
    Conference paper
    James R. Foulds, Shachi H. Kumar, Lise Getoor.
    Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models.
    Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, Lille, France, 6-11 July 2015 2015 (0) 2015
    Conference paper
    Ben London, Bert Huang, Lise Getoor.
    The Benefits of Learning with Strongly Convex Approximate Inference.
    Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, Lille, France, 6-11 July 2015 2015 (0) 2015
    Conference paper
    Stephen H. Bach, Bert Huang, Jordan L. Boyd-Graber, Lise Getoor.
    Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs.
    Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, Lille, France, 6-11 July 2015 2015 (0) 2015
    Conference paper
    Arti Ramesh, Shachi H. Kumar, James R. Foulds, Lise Getoor.
    Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums.
    Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL 2015, July 26-31, 2015, Beijing, 2015 (0) 2015
    Conference paper
    Dhanya Sridhar, James R. Foulds, Bert Huang, Lise Getoor, Marilyn A. Walker.
    Joint Models of Disagreement and Stance in Online Debate.
    Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL 2015, July 26-31, 2015, Beijing, 2015 (0) 2015
    Conference paper
    Shobeir Fakhraei, James R. Foulds, Madhusudana Shashanka, Lise Getoor.
    Collective Spammer Detection in Evolving Multi-Relational Social Networks.
    Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015 2015 (0) 2015
    Book chapter
    Shobeir Fakhraei, Eberechukwu Onukwugha, Lise Getoor.
    Data Analytics for Pharmaceutical Discoveries.
    Healthcare Data Analytics. 2015 (0) 2015
    Conference paper
    Pigi Kouki, Shobeir Fakhraei, James R. Foulds, Magdalini Eirinaki, Lise Getoor.
    HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems.
    Proceedings of the 9th ACM Conference on Recommender Systems, RecSys 2015, Vienna, Austria, September 16-20, 2015 2015 (0) 2015
    Conference paper
    Naren Ramakrishnan, Chang-Tien Lu, Madhav V. Marathe, Achla Marathe, Anil Vullikanti, Stephen Eubank, Scotland Leman, Michael J. Roan, John S. Brownstein, Kristen Maria Summers, Lise Getoor, Aravind Srinivasan, Tanzeem Choudhury, Dipak Gupta, David Mares.
    Model-Based Forecasting of Significant Societal Events.
    IEEE Intelligent Systems 2015, Volume 30 (0) 2015
    Conference paper
    Adam Grycner, Gerhard Weikum, Jay Pujara, James R. Foulds, Lise Getoor.
    RELLY: Inferring Hypernym Relationships Between Relational Phrases.
    Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, Lisbon, Portugal, September 17-21, 2015 2015 (0) 2015
    Conference paper
    Sabina Tomkins, Lise Getoor.
    Poster Abstract: Contextual Air Conditioning Disaggregation with Probabilistic Soft Logic.
    Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments, BuildSys 2015, Seoul, South Korea, November 4-5, 2015 2015 (0) 2015
    Conference paper
    Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan.
    SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources.
    Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30 - May 2, 2015 2015 (0) 2015
    Conference paper
    Jay Pujara, Ben London, Lise Getoor.
    Budgeted Online Collective Inference.
    Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, UAI 2015, July 12-16, 2015, Amsterdam, The Netherlands 2015 (0) 2015
    Conference paper
    Golnoosh Farnadi, Stephen H. Bach, Marjon Blondeel, Marie-Francine Moens, Lise Getoor, Martine De Cock.
    Statistical Relational Learning with Soft Quantifiers.
    Inductive Logic Programming - 25th International Conference, ILP 2015, Kyoto, Japan, August 20-22, 2015, Revised Selected Papers 2016 (0) 2015
    Journal article
    Mustafa Bilgic, Lise Getoor.
    Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares.
    'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor.
    Uncovering hidden engagement patterns for predicting learner performance in MOOCs.
    First (2014) ACM Conference on Learning @ Scale, L@S 2014, Atlanta, GA, USA, March 4-5, 2014 2014 (0) 2014
    Conference paper
    Walaa Eldin Moustafa, Angelika Kimmig, Amol Deshpande, Lise Getoor.
    Subgraph pattern matching over uncertain graphs with identity linkage uncertainty.
    IEEE 30th International Conference on Data Engineering, Chicago, ICDE 2014, IL, USA, March 31 - April 4, 2014 2014 (0) 2014
    Conference paper
    Ben London, Bert Huang, Ben Taskar, Lise Getoor.
    PAC-Bayesian Collective Stability.
    Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, AISTATS 2014, Reykjavik, Iceland, April 22-25, 2014 2014 (0) 2014
    Conference paper
    Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor.
    Uncovering hidden engagement patterns for predicting learner performance in MOOCs.
    First (2014) ACM Conference on Learning @ Scale, L@S 2014, Atlanta, GA, USA, March 4-5, 2014 2014 (0) 2014
    Conference paper
    Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor.
    Learning Latent Engagement Patterns of Students in Online Courses.
    Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada. 2014 (0) 2014
    Conference paper
    Bradley Skaggs, Lise Getoor.
    Topic Modeling for Wikipedia Link Disambiguation.
    ACM Trans. Inf. Syst. 2014, Volume 32 (0) 2014
    Conference paper
    Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares.
    'Beating the news' with EMBERS: forecasting civil unrest using open source indicators.
    The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014 2014 (0) 2014
    Conference paper
    Shobeir Fakhraei, Bert Huang, Louiqa Raschid, Lise Getoor.
    Network-Based Drug-Target Interaction Prediction with Probabilistic Soft Logic.
    IEEE/ACM Trans. Comput. Biology Bioinform. 2014, Volume 11 (0) 2014
    Conference paper
    Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock.
    Extending PSL with Fuzzy Quantifiers.
    Statistical Relational Artificial Intelligence, Papers from the 2014 AAAI Workshop, Québec City, Québec, Canada, July 27, 2014 2014 (0) 2014
    Book chapter
    Ben London, Lise Getoor.
    Collective Classification of Network Data.
    Data Classification: Algorithms and Applications 2014 (0) 2014
    Conference paper
    Aravindan Mahendiran, Wei Wang 0064, Jaime Arredondo, Bert Huang, Lise Getoor, David Mares, Naren Ramakrishnan.
    Discovering evolving political vocabulary in social media.
    2014 International Conference on Behavioral, Economic, and Socio-Cultural Computing, BESC 2014, Shanghai, China, October 30 - November 1, 2014 2014 (0) 2014
    Conference paper
    Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor.
    Understanding MOOC Discussion Forums using Seeded LDA.
    Proceedings of the Ninth Workshop on Innovative Use of NLP for Building Educational Applications, BEA@ACL 2014, June 26, 2014, Baltimore, Maryland, USA 2014 (0) 2014
    Journal article
    Urszula Chajewska, Lise Getoor, Joseph Norman, Yuval Shahar.
    Utility Elicitation as a Classification Problem
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Jeon-Hyung Kang, Kristina Lerman, Lise Getoor.
    LA-LDA: A Limited Attention Topic Model for Social Recommendation
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Yaojia Zhu, Xiaoran Yan, Lise Getoor, Cristopher Moore.
    Scalable Text and Link Analysis with Mixed-Topic Link Models
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Ben London, Theodoros Rekatsinas, Bert Huang, Lise Getoor.
    Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Ben London, Bert Huang, Lise Getoor.
    Graph-based Generalization Bounds for Learning Binary Relations
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Bert Huang, Angelika Kimmig, Lise Getoor, Jennifer Golbeck.
    A Flexible Framework for Probabilistic Models of Social Trust.
    Social Computing, Behavioral-Cultural Modeling and Prediction - 6th International Conference, SBP 2013, Washington, DC, USA, April 2-5, 2013. Proceedings 2013 (0) 2013
    Conference paper
    Jeon-Hyung Kang, Kristina Lerman, Lise Getoor.
    LA-LDA: A Limited Attention Topic Model for Social Recommendation.
    Social Computing, Behavioral-Cultural Modeling and Prediction - 6th International Conference, SBP 2013, Washington, DC, USA, April 2-5, 2013. Proceedings 2013 (0) 2013
    Conference paper
    Panagiotis Papadimitriou 0002, Panayiotis Tsaparas, Ariel Fuxman, Lise Getoor.
    TACI: Taxonomy-Aware Catalog Integration.
    IEEE Trans. Knowl. Data Eng. 2013, Volume 25 (0) 2013
    Journal article
    Walaa Eldin Moustafa, Angelika Kimmig, Amol Deshpande, Lise Getoor.
    Subgraph Pattern Matching over Uncertain Graphs with Identity Linkage Uncertainty
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Walaa Eldin Moustafa, Hui Miao, Amol Deshpande, Lise Getoor.
    GRDB: a system for declarative and interactive analysis of noisy information networks.
    Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2013, New York, NY, USA, June 22-27, 2013 2013 (0) 2013
    Conference paper
    Lise Getoor.
    Probabilistic Soft Logic: A Scalable Approach for Markov Random Fields over Continuous-Valued Variables - (Abstract of Keynote Talk).
    Theory, Practice, and Applications of Rules on the Web - 7th International Symposium, RuleML 2013, Seattle, WA, USA, July 11-13, 2013. Proceedings 2013 (0) 2013
    Conference paper
    Lise Getoor, Ashwin Machanavajjhala.
    Entity resolution for big data.
    The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013 2013 (0) 2013
    Conference paper
    Yaojia Zhu, Xiaoran Yan, Lise Getoor, Cristopher Moore.
    Scalable text and link analysis with mixed-topic link models.
    The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013 2013 (0) 2013
    Conference paper
    Lise Getoor, Ashwin Machanavajjhala.
    Network sampling.
    The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013 2013 (0) 2013
    Conference paper
    Shobeir Fakhraei, Louiqa Raschid, Lise Getoor.
    Drug-target interaction prediction for drug repurposing with probabilistic similarity logic.
    Proceedings of the 12th International Workshop on Data Mining in Bioinformatics, BioKDD 2013, Chicago, IL, USA, August 11, 2013 2013 (0) 2013
    Journal article
    Stephen H. Bach, Bert Huang, Ben London, Lise Getoor.
    Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction.
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Jay Pujara, Hui Miao, Lise Getoor, William Cohen.
    Knowledge Graph Identification.
    The Semantic Web - ISWC 2013 - 12th International Semantic Web Conference, Sydney, NSW, Australia, October 21-25, 2013, Proceedings, Part I 2013 (0) 2013
    Conference paper
    Hui Miao, Xiangyang Liu, Bert Huang, Lise Getoor.
    A Hypergraph-Partitioned Vertex Programming Approach for Large-scale Consensus Optimization.
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Ben London, Bert Huang, Ben Taskar, Lise Getoor.
    Collective Stability in Structured Prediction: Generalization from One Example.
    Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16-21 June 2013 2013 (0) 2013
    Conference paper
    Hui Miao, Xiangyang Liu, Bert Huang, Lise Getoor.
    A hypergraph-partitioned vertex programming approach for large-scale consensus optimization.
    Proceedings of the 2013 IEEE International Conference on Big Data, 6-9 October 2013, Santa Clara, CA, USA 2013 (0) 2013
    Conference paper
    Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, Larry S. Davis.
    Collective Activity Detection Using Hinge-loss Markov Random Fields.
    IEEE Conference on Computer Vision and Pattern Recognition, CVPR Workshops 2013, Portland, OR, USA, June 23-28, 2013 2013 (0) 2013
    Conference paper
    Stephen H. Bach, Bert Huang, Ben London, Lise Getoor.
    Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction.
    Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, UAI 2013, Bellevue, WA, USA, August 11-15, 2013 2013 (0) 2013
    Conference paper
    Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen.
    Ontology-aware partitioning for knowledge graph identification.
    Proceedings of the 2013 workshop on Automated knowledge base construction, AKBC@CIKM 13, San Francisco, California, USA, October 27-28, 2013 2013 (0) 2013
    Conference paper
    Heasoo Hwang, Hady Wirawan Lauw, Lise Getoor, Alexandros Ntoulas.
    Organizing User Search Histories.
    IEEE Trans. Knowl. Data Eng. 2012, Volume 24 (0) 2012
    Conference paper
    Theodoros Rekatsinas, Amol Deshpande, Lise Getoor.
    Local structure and determinism in probabilistic databases.
    Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2012, Scottsdale, AZ, USA, May 20-24, 2012 2012 (0) 2012
    Conference paper
    Walaa Eldin Moustafa, Amol Deshpande, Lise Getoor.
    Ego-centric Graph Pattern Census.
    IEEE 28th International Conference on Data Engineering (ICDE 2012), Washington, DC, USA (Arlington, Virginia), 1-5 April, 2012 2012 (0) 2012
    Conference paper
    Lise Getoor, Ashwin Machanavajjhala.
    Entity Resolution: Theory, Practice amp; Open Challenges.
    PVLDB 2011, Volume 5 (0) 2012
    Conference paper
    Alex Memory, Angelika Kimmig, Stephen H. Bach, Louiqa Raschid, Lise Getoor.
    Graph Summarization in Annotated Data Using Probabilistic Soft Logic.
    Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web, Boston, USA, November 11, 2012 2012 (0) 2012
    Conference paper
    Matthias Broecheler, Lilyana Mihalkova, Lise Getoor.
    Probabilistic Similarity Logic
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Prithviraj Sen, Amol Deshpande, Lise Getoor.
    Bisimulation-based Approximate Lifted Inference
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Stephen H. Bach, Matthias Broecheler, Lise Getoor, Dianne P. O'Leary.
    Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization.
    Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States. 2012 (0) 2012
    Conference paper
    Hossam Sharara, Lisa Singh, Lise Getoor, Janet Mann.
    Stability vs. Diversity: Understanding the Dynamics of Actors in Time-Varying Affiliation Networks.
    2012 International Conference on Social Informatics (SocialInformatics), Washington, D.C., USA, December 14-16, 2012 2012 (0) 2012
    Conference paper
    Lise Getoor, Lilyana Mihalkova.
    Exploiting statistical and relational information on the web and in social media.
    Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011 2011 (0) 2011
    Conference paper
    Matthew Michelson, Sofus A. Macskassy, Steven Minton, Lise Getoor.
    Materializing multi-relational databases from the web using taxonomic queries.
    Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011 2011 (0) 2011
    Conference paper
    Anon Plangprasopchok, Kristina Lerman, Lise Getoor.
    A probabilistic approach for learning folksonomies from structured data.
    Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011 2011 (0) 2011
    Journal article
    Hossam Sharara, Lisa Singh, Lise Getoor, Janet Mann.
    Understanding actor loyalty to event-based groups in affiliation networks.
    Social Netw. Analys. Mining 2011, Volume 1 (0) 2011
    Conference paper
    Walaa Eldin Moustafa, Galileo Namata, Amol Deshpande, Lise Getoor.
    Declarative analysis of noisy information networks.
    Workshops Proceedings of the 27th International Conference on Data Engineering, ICDE 2011, April 11-16, 2011, Hannover, Germany 2011 (0) 2011
    Journal article
    Mustafa Bilgic, Lise Getoor.
    Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition.
    J. Artif. Intell. Res. (JAIR) 2011, Volume 41 (0) 2011
    Conference paper
    Lise Getoor, Lilyana Mihalkova.
    Learning statistical models from relational data.
    Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2011, Athens, Greece, June 12-16, 2011 2011 (0) 2011
    Conference paper
    Louis Licamele, Lise Getoor.
    A Method for the Detection of Meaningful and Reproducible Group Signatures from Gene Expression Profiles.
    J. Bioinformatics and Computational Biology 2011, Volume 9 (0) 2011
    Journal article
    Lilyana Mihalkova, Lise Getoor.
    Lifted Graphical Models: A Survey
    CoRR 2011, Volume 0 (0) 2011
    Conference paper
    Hossam Sharara, Lise Getoor, Myra Norton.
    Active Surveying: A Probabilistic Approach for Identifying Key Opinion Leaders.
    IJCAI 2011, Proceedings of the 22nd International Joint Conference on Artificial Intelligence, Barcelona, Catalonia, Spain, July 16-22, 2011 2011 (0) 2011
    Conference paper
    Galileo Namata, Stanley Kok, Lise Getoor.
    Collective graph identification.
    Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011 2011 (0) 2011
    Conference paper
    Mustafa Bilgic, Lise Getoor.
    Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition.
    J. Artif. Intell. Res. (JAIR) 2011, Volume 41 (0) 2011
    Conference paper
    Jay Pujara, Hal Daumé III, Lise Getoor.
    Using classifier cascades for scalable e-mail classification.
    The 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference, CEAS 2011, Perth, Australia, September 1-2, 2011, Proceedings 2011 (0) 2011
    Conference paper
    Daozheng Chen, Mustafa Bilgic, Lise Getoor, David W. Jacobs.
    Dynamic Processing Allocation in Video.
    IEEE Trans. Pattern Anal. Mach. Intell. 2011, Volume 33 (0) 2011
    Conference paper
    Indrajit Bhattacharya, Lise Getoor.
    Query-time Entity Resolution
    CoRR 2011, Volume 0 (0) 2011
    Conference paper
    Hossam Sharara, Awalin Sopan, Galileo Namata, Lise Getoor, Lisa Singh.
    G-PARE: A visual analytic tool for comparative analysis of uncertain graphs.
    2011 IEEE Conference on Visual Analytics Science and Technology, VAST 2011, Providence, Rhode Island, USA, October 23-28, 2011 2011 (0) 2011
    Conference paper
    Hossam Sharara, William Rand, Lise Getoor.
    Differential Adaptive Diffusion: Understanding Diversity and Learning whom to Trust in Viral Marketing.
    Proceedings of the Fifth International Conference on Weblogs and Social Media, Barcelona, Catalonia, Spain, July 17-21, 2011 2011 (0) 2011
    Book chapter
    Elena Zheleva, Lise Getoor.
    Privacy in Social Networks: A Survey.
    Social Network Data Analytics 2011 (0) 2011
    Conference paper
    Steven Minton, Matthew Michelson, Kane See, Sofus A. Macskassy, Bora Gazen, Lise Getoor.
    Improving Classifier Performance by Autonomously Collecting Background Knowledge from the Web.
    10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 1: Main Conference 2011 (0) 2011
    Conference paper
    Lise Getoor.
    Graph Identification.
    Advances in Intelligent Data Analysis IX, 9th International Symposium, IDA 2010, Tucson, AZ, USA, May 19-21, 2010. Proceedings 2010 (0) 2010
    Journal article
    Anon Plangprasopchok, Kristina Lerman, Lise Getoor.
    Integrating Structured Metadata with Relational Affinity Propagation
    CoRR 2010, Volume 0 (0) 2010
    Journal article
    Anon Plangprasopchok, Kristina Lerman, Lise Getoor.
    Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata
    CoRR 2010, Volume 0 (0) 2010
    Journal article
    Louis Licamele, Lise Getoor.
    Indirect two-sided relative ranking: a robust similarity measure for gene expression data.
    BMC Bioinformatics 2010, Volume 11 (0) 2010
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