RESEARCHER PROFILE

Lise C. Getoor

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L

University of California, Santa Cruz

Bayesian Modeling and Causal InferenceComplex Network Analysis TechniquesLogic, Reasoning, and KnowledgeMachine Learning and AlgorithmsTopic Modeling

Lise C. Getoor works in Bayesian Modeling and Causal Inference, Complex Network Analysis Techniques, Logic, Reasoning, and Knowledge, Machine Learning and Algorithms, Topic Modeling. Recorded institutional associations include University of California, Santa Cruz.

483Publications
18,253Citations
65H-index

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. Collective Classification in Network Data

    2008 · 3,237 citations

  2. Link mining

    2005 · 973 citations

  3. Learning Probabilistic Relational Models

    2001 · 933 citations

  4. Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

    2003 · 658 citations

  5. Link-based Classification

    2006 · 612 citations

  6. Collective entity resolution in relational data

    2007 · 593 citations

  7. To join or not to join

    2009 · 534 citations

  8. Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)

    2007 · 499 citations

  9. Preserving the Privacy of Sensitive Relationships in Graph Data

    2008 · 403 citations

  10. Entity resolution

    2012 · 348 citations

  11. A Latent Dirichlet Model for Unsupervised Entity Resolution

    2006 · 266 citations

  12. Selectivity estimation using probabilistic models

    2001 · 262 citations

  13. Knowledge Graph Identification

    2013 · 257 citations

  14. SplicePort--An interactive splice-site analysis tool

    2007 · 212 citations

  15. Learning Probabilistic Models of Relational Structure

    2001 · 211 citations

  16. Iterative record linkage for cleaning and integration

    2004 · 206 citations

  17. 'Beating the news' with EMBERS

    2014 · 205 citations

  18. Query-driven active surveying for collective classification

    2012 · 187 citations

  19. Combining Collective Classification and Link Prediction

    2007 · 185 citations

  20. Link mining

    2003 · 178 citations

  21. A Short Introduction to Probabilistic Soft Logic

    2012 · 171 citations

  22. Personalized explanations for hybrid recommender systems

    2019 · 169 citations

  23. Learning Probabilistic Relational Models

    2000 · 152 citations

  24. Using the structure of Web sites for automatic segmentation of tables

    2004 · 151 citations

  25. Active Learning for Networked Data

    2010 · 142 citations

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