Lise Getoor

According to our database1, Lise Getoor authored at least 239 papers between 1995 and 2018.

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Bibliography

2018
A Fairness-aware Hybrid Recommender System.
CoRR, 2018

Scalable Structure Learning for Probabilistic Soft Logic.
CoRR, 2018

A Structured Approach to Understanding Recovery and Relapse in AA.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Topic Evolution Models for Long-Running MOOCs.
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

Scalable structured prediction for richly structured socio-behavioral data.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Scalable Probabilistic Causal Structure Discovery.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Socio-linguistic Model for Cyberbullying Detection.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Fairness-Aware Relational Learning and Inference.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Group Detection.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Collective Classification.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Link Prediction.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Link Mining and Link Discovery.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Entity Resolution.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Forecasting rare disease outbreaks from open source indicators.
Statistical Analysis and Data Mining, 2017

Soft quantification in statistical relational learning.
Machine Learning, 2017

Hinge-Loss Markov Random Fields and Probabilistic Soft Logic.
Journal of Machine Learning Research, 2017

Using Noisy Extractions to Discover Causal Knowledge.
CoRR, 2017

A Collective, Probabilistic Approach to Schema Mapping: Appendix.
CoRR, 2017

Probabilistic Visitor Stitching on Cross-Device Web Logs.
Proceedings of the 26th International Conference on World Wide Web, 2017

Multi-relational influence models for online professional networks.
Proceedings of the International Conference on Web Intelligence, 2017

User Preferences for Hybrid Explanations.
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

Disambiguating Energy Disaggregation: A Collective Probabilistic Approach.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Collective Entity Resolution in Familial Networks.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

A Collective, Probabilistic Approach to Schema Mapping.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Collective Graph Identification.
TKDD, 2016

Stability and Generalization in Structured Prediction.
Journal of Machine Learning Research, 2016

Generic Statistical Relational Entity Resolution in Knowledge Graphs.
CoRR, 2016

Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks.
CoRR, 2016

A probabilistic approach for collective similarity-based drug-drug interaction prediction.
Bioinformatics, 2016

Capturing Planned Protests from Open Source Indicators.
AI Magazine, 2016

SourceSight: Enabling Effective Source Selection.
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

ASONAM 2016 keynotes: Ideas and inventions.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

ASONAM 2016 panel: Social network analysis for social good.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Unsupervised models for predicting strategic relations between organizations.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Lifted graphical models: a survey.
Machine Learning, 2015

Model-Based Forecasting of Significant Societal Events.
IEEE Intelligent Systems, 2015

Hinge-Loss Markov Random Fields and Probabilistic Soft Logic.
CoRR, 2015

Using Semantics and Statistics to Turn Data into Knowledge.
AI Magazine, 2015

Budgeted Online Collective Inference.
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

SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources.
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

Collective Spammer Detection in Evolving Multi-Relational Social Networks.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Statistical Relational Learning with Soft Quantifiers.
Proceedings of the Inductive Logic Programming - 25th International Conference, 2015

The Benefits of Learning with Strongly Convex Approximate Inference.
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

Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs.
Proceedings of the 32nd International Conference on Machine Learning, 2015

RELLY: Inferring Hypernym Relationships Between Relational Phrases.
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 CIDR 2015, 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

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, 2015

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, 2015

Planned Protest Modeling in News and Social Media.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Data Analytics for Pharmaceutical Discoveries.
Proceedings of the Healthcare Data Analytics., 2015

2014
Topic Modeling for Wikipedia Link Disambiguation.
ACM Trans. Inf. Syst., 2014

Network-Based Drug-Target Interaction Prediction with Probabilistic Soft Logic.
IEEE/ACM Trans. Comput. Biology Bioinform., 2014

'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators.
CoRR, 2014

Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition.
CoRR, 2014

Uncovering hidden engagement patterns for predicting learner performance in MOOCs.
Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014


Subgraph pattern matching over uncertain graphs with identity linkage uncertainty.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Discovering evolving political vocabulary in social media.
Proceedings of the 2014 International Conference on Behavioral, 2014

Understanding MOOC Discussion Forums using Seeded LDA.
Proceedings of the Ninth Workshop on Innovative Use of NLP for Building Educational Applications, 2014

PAC-Bayesian Collective Stability.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Learning Latent Engagement Patterns of Students in Online Courses.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Extending PSL with Fuzzy Quantifiers.
Proceedings of the Statistical Relational Artificial Intelligence, 2014

Collective Classification of Network Data.
Proceedings of the Data Classification: Algorithms and Applications, 2014

2013
TACI: Taxonomy-Aware Catalog Integration.
IEEE Trans. Knowl. Data Eng., 2013

Subgraph Pattern Matching over Uncertain Graphs with Identity Linkage Uncertainty
CoRR, 2013

Scalable Text and Link Analysis with Mixed-Topic Link Models
CoRR, 2013

Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss
CoRR, 2013

Graph-based Generalization Bounds for Learning Binary Relations
CoRR, 2013

Utility Elicitation as a Classification Problem
CoRR, 2013

LA-LDA: A Limited Attention Topic Model for Social Recommendation
CoRR, 2013

A Hypergraph-Partitioned Vertex Programming Approach for Large-scale Consensus Optimization.
CoRR, 2013

Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction.
CoRR, 2013

Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction.
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

Knowledge Graph Identification.
Proceedings of the Semantic Web - ISWC 2013, 2013

LA-LDA: A Limited Attention Topic Model for Social Recommendation.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013

A Flexible Framework for Probabilistic Models of Social Trust.
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

Scalable text and link analysis with mixed-topic link models.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Network sampling.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Entity resolution for big data.
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

Collective Stability in Structured Prediction: Generalization from One Example.
Proceedings of the 30th International Conference on Machine Learning, 2013

Collective Activity Detection Using Hinge-loss Markov Random Fields.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

Ontology-aware partitioning for knowledge graph identification.
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, 2013

Large-Scale Knowledge Graph Identification Using PSL.
Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013

2012
Privacy in Social Networks
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, 2012

Organizing User Search Histories.
IEEE Trans. Knowl. Data Eng., 2012

Entity Resolution: Theory, Practice & Open Challenges.
PVLDB, 2012

Bisimulation-based Approximate Lifted Inference
CoRR, 2012

Probabilistic Similarity Logic
CoRR, 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

Local structure and determinism in probabilistic databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Graph Summarization in Annotated Data Using Probabilistic Soft Logic.
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

Ego-centric Graph Pattern Census.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011
Understanding actor loyalty to event-based groups in affiliation networks.
Social Netw. Analys. Mining, 2011

Dynamic Processing Allocation in Video.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

A Method for the Detection of Meaningful and Reproducible Group Signatures from Gene Expression Profiles.
J. Bioinformatics and Computational Biology, 2011

Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition.
J. Artif. Intell. Res., 2011

Query-time Entity Resolution
CoRR, 2011

Lifted Graphical Models: A Survey
CoRR, 2011

A probabilistic approach for learning folksonomies from structured data.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Materializing multi-relational databases from the web using taxonomic queries.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

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, 2011

Learning statistical models from relational data.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Collective graph identification.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Active Surveying: A Probabilistic Approach for Identifying Key Opinion Leaders.
Proceedings of the IJCAI 2011, 2011

G-PARE: A visual analytic tool for comparative analysis of uncertain graphs.
Proceedings of the 2011 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

Declarative analysis of noisy information networks.
Proceedings of the Workshops Proceedings of the 27th International Conference on Data Engineering, 2011

Using classifier cascades for scalable e-mail classification.
Proceedings of the 8th Annual Collaboration, 2011

Privacy in Social Networks: A Survey.
Proceedings of the Social Network Data Analytics, 2011

2010
Group Detection.
Proceedings of the Encyclopedia of Machine Learning, 2010

Collective Classification.
Proceedings of the Encyclopedia of Machine Learning, 2010

Link Prediction.
Proceedings of the Encyclopedia of Machine Learning, 2010

Link Mining and Link Discovery.
Proceedings of the Encyclopedia of Machine Learning, 2010

Entity Resolution.
Proceedings of the Encyclopedia of Machine Learning, 2010

Identifying graphs from noisy and incomplete data.
SIGKDD Explorations, 2010

Eighth workshop on mining and learning with graphs.
SIGKDD Explorations, 2010

Read-Once Functions and Query Evaluation in Probabilistic Databases.
PVLDB, 2010

A Probabilistic Approach for Learning Folksonomies from Structured Data
CoRR, 2010

Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata
CoRR, 2010

Integrating Structured Metadata with Relational Affinity Propagation
CoRR, 2010

Indirect two-sided relative ranking: a robust similarity measure for gene expression data.
BMC Bioinformatics, 2010

AI Theory and Practice: A Discussion on Hard Challenges and Opportunities Ahead.
AI Magazine, 2010

Constructing folksonomies by integrating structured metadata.
Proceedings of the 19th International Conference on World Wide Web, 2010

Probabilistic Similarity Logic.
Proceedings of the UAI 2010, 2010

Learning Algorithms for Link Prediction Based on Chance Constraints.
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

Graph Identification.
Proceedings of the Advances in Intelligent Data Analysis IX, 9th International Symposium, 2010

Active Learning for Networked Data.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

A Method for the Detection of Meaningful and Reproducible Group Signatures from Gene Expression Profiles.
Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, 2010

Integrating Structured Metadata with Relational Affinity Propagation.
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

Active Inference for Collective Classification.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
PrDB: managing and exploiting rich correlations in probabilistic databases.
VLDB J., 2009

Reflect and correct: A misclassification prediction approach to active inference.
TKDD, 2009

Summary of the first ACM SIGKDD workshop on knowledge discovery from uncertain data (U'09).
SIGKDD Explorations, 2009

Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications.
PVLDB, 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

Bisimulation-based Approximate Lifted Inference.
Proceedings of the UAI 2009, 2009

Opinion Graphs for Polarity and Discourse Classification.
Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing, 2009

FutureRank: Ranking Scientific Articles by Predicting their Future PageRank.
Proceedings of the SIAM International Conference on Data Mining, 2009

On Maximum Coverage in the Streaming Model & Application to Multi-topic Blog-Watch.
Proceedings of the SIAM International Conference on Data Mining, 2009

Co-evolution of social and affiliation networks.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Identifying graphs from noisy and incomplete data.
Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, 2009

Distinguishing Knowledge vs Social Capital in Social Media with Roles and Context.
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

The Dynamics of Actor Loyalty to Groups in Affiliation Networks.
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

Trusting spam reporters: A reporter-based reputation system for email filtering.
ACM Trans. Inf. Syst., 2008

Exploiting shared correlations in probabilistic databases.
PVLDB, 2008

Structured machine learning: the next ten years.
Machine Learning, 2008

Cost-sensitive learning with conditional Markov networks.
Data Min. Knowl. Discov., 2008

Learning Structured Bayesian Networks: Combining Abstraction Hierarchies and Tree-Structured Conditional Probability Tables.
Computational Intelligence, 2008

Preface.
Ann. Math. Artif. Intell., 2008

Collective Classification in Network Data.
AI Magazine, 2008

Using Friendship Ties and Family Circles for Link Prediction.
Proceedings of the Advances in Social Network Mining and Analysis, 2008

Effective label acquisition for collective classification.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Leveraging social context for searching social media.
Proceedings of the Proceeding of the 2008 ACM Workshop on Search in Social Media, 2008

2007
Probabilistic interval XML.
ACM Trans. Comput. Log., 2007

Collective entity resolution in relational data.
TKDD, 2007

Visual analysis of dynamic group membership in temporal social networks.
SIGKDD Explorations, 2007

SplicePort - An interactive splice-site analysis tool.
Nucleic Acids Research, 2007

Query-time Entity Resolution.
J. Artif. Intell. Res., 2007

Increasing the Predictive Power of Affiliation Networks.
IEEE Data Eng. Bull., 2007

Features generated for computational splice-site prediction correspond to functional elements.
BMC Bioinformatics, 2007

Leveraging data and structure in ontology integration.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

Combining Tuple and Attribute Uncertainty in Probabilistic Databases.
Proceedings of the First International VLDB workshop on Management of Uncertain Data in conjunction with VLDB 2007, 2007

Graph Identification.
Proceedings of the Mining and Learning with Graphs, 2007

Preserving the Privacy of Sensitive Relationships in Graph Data.
Proceedings of the Privacy, 2007

Visual Mining of Multi-Modal Social Networks at Different Abstraction Levels.
Proceedings of the 11th International Conference on Information Visualisation, 2007

GeoDDupe: A Novel Interface for Interactive Entity Resolution in Geospatial Data.
Proceedings of the 11th International Conference on Information Visualisation, 2007

C-GROUP: A Visual Analytic Tool for Pairwise Analysis of Dynamic Group Membership.
Proceedings of the IEEE Symposium on Visual Analytics Science and Technology, 2007

Representing Tuple and Attribute Uncertainty in Probabilistic Databases.
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

Combining Collective Classification and Link Prediction.
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

A dual-view approach to interactive network visualization.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

Relationship Identification for Social Network Discovery.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

VOILA: Efficient Feature-value Acquisition for Classification.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Online Collective Entity Resolution.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
What are the grand challenges for data mining?: KDD-2006 panel report.
SIGKDD Explorations, 2006

PRL: A probabilistic relational language.
Machine Learning, 2006

An Introduction to Probabilistic Graphical Models for Relational Data.
IEEE Data Eng. Bull., 2006

Collective Entity Resolution In Relational Data.
IEEE Data Eng. Bull., 2006

Name Reference Resolution in Organizational Email Archives.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

A Latent Dirichlet Model for Unsupervised Entity Resolution.
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

Is there a grand challenge or X-prize for data mining?
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Query-time entity resolution.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

D-Dupe: An Interactive Tool for Entity Resolution in Social Networks.
Proceedings of the IEEE Symposium On Visual Analytics Science And Technology, 2006

Cost-sensitive learning with conditional Markov networks.
Proceedings of the Machine Learning, 2006

Inferring Organizational Titles in Online Communication.
Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006

Social Capital in Friendship-Event Networks.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Entity resolution in geospatial data integration.
Proceedings of the 14th ACM International Symposium on Geographic Information Systems, 2006

2005
Link mining: a survey.
SIGKDD Explorations, 2005

Introduction to the special issue on link mining.
SIGKDD Explorations, 2005

Capital and benefit in social networks.
Proceedings of the 3rd international workshop on Link discovery, 2005

Tutorial on Statistical Relational Learning.
Proceedings of the Inductive Logic Programming, 15th International Conference, 2005

Pruning Social Networks Using Structural Properties and Descriptive Attributes.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

D-Dupe: An Interactive Tool for Entity Resolution in Social Networks.
Proceedings of the Graph Drawing, 13th International Symposium, 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
A workshop report: mining for and from the Semantic Web at KDD 2004.
SIGKDD Explorations, 2004

Understanding tuberculosis epidemiology using structured statistical models.
Artificial Intelligence in Medicine, 2004

Using the Structure of Web Sites for Automatic Segmentation of Tables.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

Iterative record linkage for cleaning and integration.
Proceedings of the 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2004

Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models.
Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, 2004

2003
Link mining: a new data mining challenge.
SIGKDD Explorations, 2003

Learning Structure From Statistical Models.
IEEE Data Eng. Bull., 2003

Link-based Classification.
Proceedings of the Machine Learning, 2003

Probabilistic Interval XML.
Proceedings of the Database Theory, 2003

PXML: A Probabilistic Semistructured Data Model and Algebra.
Proceedings of the 19th International Conference on Data Engineering, 2003

2002
Learning Probabilistic Models of Link Structure.
Journal of Machine Learning Research, 2002

2001
AAAI 2000 Workshop Reports.
AI Magazine, 2001

Selectivity Estimation using Probabilistic Models.
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
Using Feature Hierarchies in Bayesian Network Learning.
Proceedings of the Abstraction, 2000

Learning Probabilistic Relational Models.
Proceedings of the Abstraction, 2000

1999
Learning Probabilistic Relational Models.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Efficient learning using constrained sufficient statistics.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998
Utility Elicitation as a Classification Problem.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

1997
Effective Redundant Constraints for Online Scheduling.
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1995
Scope and Abstraction: Two Criteria for Localized Planning.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995


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