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    Author information
    First name: Lise
    Last name: Getoor
    DBLP: g/LiseGetoor
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    Below you find the publications which have been written by this author.

    Show item 1 to 25 of 229  
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    Conference paper
    Angelika Kimmig, Alex Memory, Renée J. Miller, Lise Getoor.
    A Collective, Probabilistic Approach to Schema Mapping: Appendix.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan.
    Forecasting rare disease outbreaks from open source indicators.
    Statistical Analysis and Data Mining 2017, Volume 10 (0) 2017
    Conference paper
    Sungchul Kim, Nikhil Kini, Jay Pujara, Eunyee Koh, Lise Getoor.
    Probabilistic Visitor Stitching on Cross-Device Web Logs.
    Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017 2017 (0) 2017
    Conference paper
    Galileo Namata, Lise Getoor.
    Link Prediction.
    Encyclopedia of Machine Learning and Data Mining 2017 (0) 2017
    Conference paper
    Lise Getoor.
    Link Mining and Link Discovery.
    Encyclopedia of Machine Learning and Data Mining 2017 (0) 2017
    Conference paper
    Galileo Namata, Prithviraj Sen, Mustafa Bilgic 0001, Lise Getoor.
    Collective Classification.
    Encyclopedia of Machine Learning and Data Mining 2017 (0) 2017
    Conference paper
    Lise Getoor.
    Statistical Relational Learning: Unifying AI DB Perspectives on Structured Probabilistic Models.
    Proceedings of the 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, PODS 2017, Chicago, IL, USA, May 14-19, 2017 2017 (0) 2017
    Conference paper
    Hossam Sharara, Lise Getoor.
    Group Detection.
    Encyclopedia of Machine Learning and Data Mining 2017 (0) 2017
    Conference paper
    Angelika Kimmig, Alex Memory, Renée J. Miller, Lise Getoor.
    A Collective, Probabilistic Approach to Schema Mapping.
    33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017 2017 (0) 2017
    Conference paper
    Indrajit Bhattacharya, Lise Getoor.
    Entity Resolution.
    Encyclopedia of Machine Learning and Data Mining 2017 (0) 2017
    Conference paper
    Sabina Tomkins, Jay Pujara, Lise Getoor.
    Disambiguating Energy Disaggregation: A Collective Probabilistic Approach.
    Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017 2017 (0) 2017
    Conference paper
    Arti Ramesh, Mario Rodriguez, Lise Getoor.
    Multi-relational influence models for online professional networks.
    Proceedings of the International Conference on Web Intelligence, Leipzig, Germany, August 23-26, 2017 2017 (0) 2017
    Conference paper
    Pigi Kouki, James Schaffer, Jay Pujara, John O'Donovan, Lise Getoor.
    User Preferences for Hybrid Explanations.
    Proceedings of the Eleventh ACM Conference on Recommender Systems, RecSys 2017, Como, Italy, August 27-31, 2017 2017 (0) 2017
    Conference paper
    Jay Pujara, Eriq Augustine, Lise Getoor.
    Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short.
    Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, Copenhagen, Denmark, September 9-11, 2017 2017 (0) 2017
    Conference paper
    Stephen H. Bach, Matthias Broecheler, Bert Huang, Lise Getoor.
    Hinge-Loss Markov Random Fields and Probabilistic Soft Logic.
    Journal of Machine Learning Research 2017, Volume 18 (0) 2017
    Conference paper
    Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock.
    Soft quantification in statistical relational learning.
    Machine Learning 2017, Volume 106 (0) 2017
    Conference paper
    Dhanya Sridhar, Jay Pujara, Lise Getoor.
    Using Noisy Extractions to Discover Causal Knowledge.
    CoRR 2017, Volume 0 (0) 2017
    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
    Conference paper
    Jay Pujara, Lise Getoor.
    Generic Statistical Relational Entity Resolution in Knowledge Graphs.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    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
    Show item 1 to 25 of 229  

    Your query returned 229 matches in the database.