Lise Getoor
Affiliations:- University of California, Santa Cruz, Department of Computer Science, CA, USA
- University of Maryland, College Park, USA
According to our database1,
Lise Getoor
authored at least 265 papers
between 1995 and 2024.
Collaborative distances:
Collaborative distances:
Awards
ACM Fellow
ACM Fellow 2019, "For contributions to machine learning, reasoning under uncertainty, and responsible data science".
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on zbmath.org
-
on id.loc.gov
-
on d-nb.info
-
on isni.org
-
on cs.umd.edu
-
on dl.acm.org
On csauthors.net:
Bibliography
2024
CoRR, 2024
2023
Proc. VLDB Endow., 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Mach. Learn., 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022
Proceedings of the 4th Workshop on NLP for Conversational AI, 2022
2021
ACM Trans. Web, 2021
A comparison of statistical relational learning and graph neural networks for aggregate graph queries.
Mach. Learn., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021
2020
IEEE Trans. Learn. Technol., 2020
Generating and Understanding Personalized Explanations in Hybrid Recommender Systems.
ACM Trans. Interact. Intell. Syst., 2020
CoRR, 2020
Proceedings of the 2020 International Conference on Management of Data, 2020
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage.
Proceedings of the Conference on Automated Knowledge Base Construction, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
IEEE Trans. Knowl. Data Eng., 2019
Knowl. Inf. Syst., 2019
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019
Proceedings of the 2019 International Conference on Management of Data, 2019
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 22nd International Conference on Database Theory, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018
Sustainability at scale: towards bridging the intention-behavior gap with sustainable recommendations.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018
Proceedings of the 12th ACM Conference on Recommender Systems, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Stat. Anal. Data Min., 2017
J. Mach. Learn. Res., 2017
Proceedings of the 26th International Conference on World Wide Web, 2017
Proceedings of the International Conference on Web Intelligence, 2017
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017
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, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Using Noisy Extractions to Discover Causal Knowledge.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017
2016
CoRR, 2016
A probabilistic approach for collective similarity-based drug-drug interaction prediction.
Bioinform., 2016
Proceedings of the 2016 International Conference on Management of Data, 2016
Predicting Post-Test Performance from Student Behavior: A High School MOOC Case Study.
Proceedings of the 9th International Conference on Educational Data Mining, 2016
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016
2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
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, 2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the Inductive Logic Programming - 25th International Conference, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Finding Quality in Quantity: The Challenge of Discovering Valuable Sources for Integration.
Proceedings of the Seventh Biennial Conference on Innovative Data Systems Research, 2015
Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
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, 2015
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, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Proceedings of the Healthcare Data Analytics., 2015
2014
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014
Proceedings of the 2014 International Conference on Behavioral, 2014
Proceedings of the Ninth Workshop on Innovative Use of NLP for Building Educational Applications, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
Proceedings of the Statistical Relational Artificial Intelligence, 2014
Proceedings of the Data Classification: Algorithms and Applications, 2014
2013
CoRR, 2013
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
GRDB: a system for declarative and interactive analysis of noisy information networks.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013
Probabilistic Soft Logic: A Scalable Approach for Markov Random Fields over Continuous-Valued Variables - (Abstract of Keynote Talk).
Proceedings of the Theory, Practice, and Applications of Rules on the Web, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Drug-target interaction prediction for drug repurposing with probabilistic similarity logic.
Proceedings of the 12th International Workshop on Data Mining in Bioinformatics, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013
Proceedings of the 2013 workshop on Automated knowledge base construction, 2013
A hypergraph-partitioned vertex programming approach for large-scale consensus optimization.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013
Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013
2012
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, ISBN: 978-3-031-01901-2, 2012
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012
Stability vs. Diversity: Understanding the Dynamics of Actors in Time-Varying Affiliation Networks.
Proceedings of the 2012 International Conference on Social Informatics (SocialInformatics), 2012
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012
Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web, 2012
Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization.
Proceedings of the 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
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012
2011
Soc. Netw. Anal. Min., 2011
IEEE Trans. Pattern Anal. Mach. Intell., 2011
A Method for the Detection of Meaningful and Reproducible Group Signatures from Gene Expression Profiles.
J. Bioinform. Comput. Biol., 2011
Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition.
J. Artif. Intell. Res., 2011
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Proceedings of the IJCAI 2011, 2011
Proceedings of the 6th IEEE Conference on Visual Analytics Science and Technology, 2011
Differential Adaptive Diffusion: Understanding Diversity and Learning whom to Trust in Viral Marketing.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011
Improving Classifier Performance by Autonomously Collecting Background Knowledge from the Web.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
Proceedings of the Workshops Proceedings of the 27th International Conference on Data Engineering, 2011
Proceedings of the 8th Annual Collaboration, 2011
Proceedings of the Social Network Data Analytics, 2011
2010
Proceedings of the Encyclopedia of Machine Learning, 2010
Proc. VLDB Endow., 2010
Indirect two-sided relative ranking: a robust similarity measure for gene expression data.
BMC Bioinform., 2010
AI Mag., 2010
Proceedings of the 19th International Conference on World Wide Web, 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Growing a tree in the forest: constructing folksonomies by integrating structured metadata.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the Statistical Relational Artificial Intelligence, 2010
Constructing Folksonomies by Integrating Structured Metadata with Relational Clustering.
Proceedings of the Collaboratively-Built Knowledge Sources and Artificial Intelligence, 2010
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010
2009
VLDB J., 2009
ACM Trans. Knowl. Discov. Data, 2009
Summary of the first ACM SIGKDD workshop on knowledge discovery from uncertain data (U'09).
SIGKDD Explor., 2009
Proc. VLDB Endow., 2009
To join or not to join: the illusion of privacy in social networks with mixed public and private user profiles.
Proceedings of the 18th International Conference on World Wide Web, 2009
Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing, 2009
Proceedings of the SIAM International Conference on Data Mining, 2009
Proceedings of the SIAM International Conference on Data Mining, 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Proceedings of the Third International Conference on Weblogs and Social Media, 2009
Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009
Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009
2008
Interactive Entity Resolution in Relational Data: A Visual Analytic Tool and Its Evaluation.
IEEE Trans. Vis. Comput. Graph., 2008
ACM Trans. Inf. Syst., 2008
Data Min. Knowl. Discov., 2008
Learning Structured Bayesian Networks: Combining Abstraction Hierarchies and Tree-Structured Conditional Probability Tables.
Comput. Intell., 2008
Proceedings of the Advances in Social Network Mining and Analysis, 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Proceedings of the Proceeding of the 2008 ACM Workshop on Search in Social Media, 2008
2007
SIGKDD Explor., 2007
Features generated for computational splice-site prediction correspond to functional elements.
BMC Bioinform., 2007
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007
Proceedings of the First International VLDB workshop on Management of Uncertain Data in conjunction with VLDB 2007, 2007
Proceedings of the Privacy, 2007
Proceedings of the 11th International Conference on Information Visualisation, 2007
Proceedings of the 11th International Conference on Information Visualisation, 2007
Proceedings of the 2nd IEEE Symposium on Visual Analytics Science and Technology, 2007
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
Characterizing RNA Secondary-Structure Features and Their Effects on Splice-Site Prediction.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis.
Proceedings of the Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04., 2007
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007
2006
SIGKDD Explor., 2006
IEEE Data Eng. Bull., 2006
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006
A Feature Generation Algorithm for Sequences with Application to Splice-Site Prediction.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Proceedings of the 1st IEEE Symposium On Visual Analytics Science And Technology, 2006
Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Proceedings of the 14th ACM International Symposium on Geographic Information Systems, 2006
2005
Proceedings of the 3rd international workshop on Link discovery, 2005
Proceedings of the Inductive Logic Programming, 15th International Conference, 2005
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence.
Proceedings of the Machine Learning: ECML 2005, 2005
05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis.
Proceedings of the Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January, 2005
05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis.
Proceedings of the Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January, 2005
2004
SIGKDD Explor., 2004
Artif. Intell. Medicine, 2004
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004
Proceedings of the 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2004
Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, 2004
2003
Proceedings of the 19th International Conference on Data Engineering, 2003
2002
2001
Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001
Learning Probabilistic Models of Relational Structure.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001
2000
Proceedings of the Abstraction, 2000
1999
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999
1998
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998
1997
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997
1995
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995