Lise C. Getoor, Ph.D.

Affiliations: 
2002 Stanford University, Palo Alto, CA 
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"Lise Getoor"

Parents

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Daphne Koller grad student 2002 Stanford
 (Learning statistical models from relational data.)

Children

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Louis Licamele grad student
Eriq Augustine grad student 2016- UC Santa Cruz (Computer Science Tree)
Bert Huang post-doc 2011-2014 (Neurotree)
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Publications

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Ramesh A, Goldwasser D, Huang B, et al. (2020) Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields Ieee Transactions On Learning Technologies. 13: 107-122
Kouki P, Pujara J, Marcum C, et al. (2019) Collective entity resolution in multi-relational familial networks Knowledge and Information Systems. 61: 1547-1581
Rekatsinas T, Ghosh S, Mekaru SR, et al. (2017) Forecasting rare disease outbreaks from open source indicators Statistical Analysis and Data Mining: the Asa Data Science Journal. 10: 136-150
Sridhar D, Fakhraei S, Getoor L. (2016) A Probabilistic Approach for Collective Similarity-based Drug-Drug Interaction Prediction. Bioinformatics (Oxford, England)
Muthiah S, Huang B, Arredondo J, et al. (2016) Capturing Planned Protests from Open Source Indicators Ai Magazine. 37: 63
Namata GM, London B, Getoor L. (2016) Collective Graph Identification Acm Transactions On Knowledge Discovery From Data. 10: 25
Kimmig A, Mihalkova L, Getoor L. (2015) Lifted graphical models: a survey Machine Learning. 99: 1-45
Fakhraei S, Huang B, Raschid L, et al. (2014) Network-Based Drug-Target Interaction Prediction with Probabilistic Soft Logic. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 11: 775-87
Skaggs B, Getoor L. (2014) Topic Modeling for Wikipedia Link Disambiguation Acm Transactions On Information Systems. 32: 10
Ramesh A, Goldwasser D, Huang B, et al. (2014) Uncovering hidden engagement patterns for predicting learner performance in MOOCs Legal Studies. 157-158
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