Lise Getoor

发表

What are the grand challenges for data mining?: KDD-2006 panel report

Chabane Djeraba, Gregory Piatetsky-Shapiro, Lise Getoor, 2006, SKDD.

Social Capital in Friendship-Event Networks

Lise Getoor, Louis Licamele, 2006, Sixth International Conference on Data Mining (ICDM'06).

Budgeted Online Collective Inference

Lise Getoor, Jay Pujara, Ben London, 2015, UAI.

Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference

Lise Getoor, Sriram Srinivasan, Eriq Augustine, 2020, AAAI.

Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees

Lise Getoor, Bert Huang, Stephen H. Bach, 2015, AISTATS.

Probabilistic Models of Text and Link Structure for Hypertext Classification

Ben Taskar, Lise Getoor, Daphne Koller, 2001 .

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

Kristina Lerman, Lise Getoor, Jeon-Hyung Kang, 2013, SBP.

SRL2004 ICML 2004 Workshop on Statistical Relational Learning and its Connections to Other Fields

Thomas G. Dietterich, Lise Getoor, L. Getoor, 2004 .

Active Inference for Collective Classification

Lise Getoor, Mustafa Bilgic, L. Getoor, 2010, AAAI.

D-Dupe: An Interactive Tool for Entity Resolution in Social Networks

Ben Shneiderman, Lise Getoor, Louis Licamele, 2006, Graph Drawing.

Read-once functions and query evaluation in probabilistic databases

Lise Getoor, Prithviraj Sen, Amol Deshpande, 2010, Proc. VLDB Endow..

Learning Latent Engagement Patterns of Students in Online Courses

Lise Getoor, Bert Huang, Dan Goldwasser, 2014, AAAI.

Identifying graphs from noisy and incomplete data

Lise Getoor, Galileo Namata, 2009, KDD Workshop on Knowledge Discovery from Uncertain Data.

07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis

Luc De Raedt, Thomas G. Dietterich, Kristian Kersting, 2007, Probabilistic, Logical and Relational Learning - A Further Synthesis.

Link-based Active Learning

Lise Getoor, Mustafa Bilgic, L. Getoor, 2009, NIPS 2009.

Cost-sensitive learning with conditional Markov networks

Lise Getoor, Prithviraj Sen, 2006, ICML '06.

Statistical Relational Learning (SRL) as an Enabling Technology for Data Acquisition and Data Fusion in Video

Lise Getoor, David W. Jacobs, 2013 .

Scalable Probabilistic Causal Structure Discovery

Lise Getoor, Jay Pujara, Dhanya Sridhar, 2018, IJCAI.

A dual-view approach to interactive network visualization

Ben Shneiderman, Lise Getoor, Galileo Namata, 2007, CIKM '07.

Combining Collective Classification and Link Prediction

Lise Getoor, Mustafa Bilgic, Galileo Namata, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

Graph Summarization in Annotated Data Using Probabilistic Soft Logic

Louiqa Raschid, Lise Getoor, Stephen H. Bach, 2012, URSW.

A Method for the Detection of Meaningful and Reproducible Group Signatures from Gene Expression Profiles

Lise Getoor, Louis Licamele, L. Getoor, 2010, BIONETICS.

Joint Estimation of User And Publisher Credibility for Fake News Detection

Lise Getoor, Rajdipa Chowdhury, Sriram Srinivasan, 2020, CIKM.

Using Feature Hierarchies in Bayesian Network Learning

Marie desJardins, Lise Getoor, Daphne Koller, 2000, SARA.

SysML: The New Frontier of Machine Learning Systems pdf

Gustavo Alonso, Dan Alistarh, Dimitris S. Papailiopoulos, 2019, ArXiv.

Probabilistic Relational Models

Ben Taskar, Lise Getoor, L. Getoor, 2014, Encyclopedia of Social Network Analysis and Mining.

Model-Based Forecasting of Significant Societal Events

Aravind Srinivasan, Madhav V. Marathe, Chang-Tien Lu, 2015, IEEE Intelligent Systems.

Network sampling

Ashwin Machanavajjhala, Lise Getoor, L. Getoor, 2013, KDD.

Active Learning for Networked Data

Lise Getoor, Mustafa Bilgic, Lilyana Mihalkova, 2010, ICML.

Lifted First-Order Probabilistic Inference

Ben Taskar, Lise Getoor, L. Getoor, 2007 .

Proceedings of the eighth Workshop on Mining and Learning with Graphs : July 24-25, Washington, DC, USA : MLG'10

Lise Getoor, Ulf Brefeld, Sofus A. Macskassy, 2010 .

Improving Classifier Performance by Autonomously Collecting Background Knowledge from the Web

Steven Minton, Lise Getoor, Matthew Michelson, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

Data Analytics for Pharmaceutical Discoveries

Eberechukwu Onukwugha, Lise Getoor, Shobeir Fakhraei, 2015, Healthcare Data Analytics.

Reflect and correct: A misclassification prediction approach to active inference

Lise Getoor, Mustafa Bilgic, L. Getoor, 2009, TKDD.

Growing a tree in the forest: constructing folksonomies by integrating structured metadata pdf

Kristina Lerman, Lise Getoor, Anon Plangprasopchok, 2010, KDD.

LEARNING STRUCTURED BAYESIAN NETWORKS: COMBINING ABSTRACTION HIERARCHIES AND TREE‐STRUCTURED CONDITIONAL PROBABILITY TABLES

Marie desJardins, Lise Getoor, Priyang Rathod, 2008, Comput. Intell..

Collective Classification

Lise Getoor, Prithviraj Sen, Mustafa Bilgic, 2017, Encyclopedia of Machine Learning and Data Mining.

Lifted Hinge-Loss Markov Random Fields

Lise Getoor, Behrouz Babaki, Golnoosh Farnadi, 2019, AAAI.

Entity resolution in geospatial data integration

Lise Getoor, Vivek Sehgal, Peter Viechnicki, 2006, GIS '06.

05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis

Luc De Raedt, Thomas G. Dietterich, Stephen Muggleton, 2005, Probabilistic, Logical and Relational Learning.

Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning

Lise Getoor, Matthias Broecheler, 2010, NIPS.

A Flexible Framework for Probabilistic Models of Social Trust

Lise Getoor, Bert Huang, Jennifer Golbeck, 2013, SBP.

C-GROUP: A Visual Analytic Tool for Pairwise Analysis of Dynamic Group Membership

Lisa Singh, Lise Getoor, Hyunmo Kang, 2007, 2007 IEEE Symposium on Visual Analytics Science and Technology.

Utility Elicitation as a Classification Problem

Yuval Shahar, Lise Getoor, Urszula Chajewska, 1998, UAI.

A Method for the Detection of Meaningful and Reproducible Group Signatures from Gene Expression Profiles

Lise Getoor, Louis Licamele, 2011, J. Bioinform. Comput. Biol..

Inferring Organizational Titles in Online Communication

Lise Getoor, Galileo Namata, Christopher P. Diehl, 2006, SNA@ICML.

Opinion Graphs for Polarity and Discourse Classification

Lise Getoor, Swapna Somasundaran, Janyce Wiebe, 2009, Graph-based Methods for Natural Language Processing.

Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums

James R. Foulds, Lise Getoor, Arti Ramesh, 2015, ACL.

Using Noisy Extractions to Discover Causal Knowledge pdf

Lise Getoor, Jay Pujara, Dhanya Sridhar, 2017, AKBC@NIPS.

PAC-Bayesian Collective Stability

Ben Taskar, Lise Getoor, Bert Huang, 2014, AISTATS.

5 Probabilistic Relational Models

Lise Getoor, Avi Pfeffer, Nir Friedman, 2008 .

AI Theory and Practice: A Discussion on Hard Challenges and Opportunities Ahead

James A. Hendler, Michael P. Wellman, Eric Horvitz, 2010, AI Mag..

Joint Models of Disagreement and Stance in Online Debate

James R. Foulds, Marilyn A. Walker, Lise Getoor, 2015, ACL.

Collective entity resolution in relational data

Lise Getoor, Indrajit Bhattacharya, L. Getoor, 2007, TKDD.

User Profiling Using Hinge-loss Markov Random Fields pdf

Martine De Cock, Lise Getoor, Marie-Francine Moens, 2020, ArXiv.

Fairness in Relational Domains

Lise Getoor, Behrouz Babaki, Golnoosh Farnadi, 2018, AIES.

Network sampling

Ashwin Machanavajjhala, Lise Getoor, 2013, KDD.

Active Surveying: A Probabilistic Approach for Identifying Key Opinion Leaders

Lise Getoor, Hossam Sharara, Myra Norton, 2011, IJCAI.

Understanding Hybrid-MOOC Effectiveness with a Collective Socio-Behavioral Model

Lise Getoor, Sabina Tomkins, L. Getoor, 2019 .

Discovering evolving political vocabulary in social media

Naren Ramakrishnan, Lise Getoor, Bert Huang, 2014, 2014 International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC2014).

Using Probabilistic Relational Models for Collaborative Filtering

Lise Getoor, Mehran Sahami, L. Getoor, 1999 .

Link Mining and Link Discovery

Lise Getoor, 2017, Encyclopedia of Machine Learning and Data Mining.

Query-driven Active Surveying for Collective Classification

Lise Getoor, Bert Huang, Ben London, 2012 .

Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, Paris, France, June 28, 2009

Jian Pei, Lise Getoor, Ander de Keijzer, 2009, KDD Workshop on Knowledge Discovery from Uncertain Data.

Collective Classi!cation in Network Data

Lise Getoor, Tina Eliassi-Rad, Brian Gallagher, 2008 .

Entity and Relationship Labeling in Affiliation Networks

Lise Getoor, Prithviraj Sen, Bin Zhao, 2006 .

Lifted graphical models: a survey

Lise Getoor, Lilyana Mihalkova, L. Getoor, 2011, Machine Learning.

SRL2003 IJCAI 2003 Workshop on Learning Statistical Models from Relational Data

Lise Getoor, L. Getoor, 2003 .

Collective Classification for Text Classification

Lise Getoor, Prithviraj Sen, Mustafa Bilgic, 2009 .

D-Dupe: An Interactive Tool for Entity Resolution in Social Networks

Ben Shneiderman, Lise Getoor, Louis Licamele, 2006, 2006 IEEE Symposium On Visual Analytics Science And Technology.

Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition pdf

Lise Getoor, Mustafa Bilgic, L. Getoor, 2011, J. Artif. Intell. Res..

05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis

Luc De Raedt, Thomas G. Dietterich, Stephen Muggleton, 2005, Probabilistic, Logical and Relational Learning.

ASONAM 2016 keynotes: Ideas and inventions

Lada A. Adamic, Lise Getoor, Evimaria Terzi, 2016, ASONAM.

Complex Adaptive System

John Case, Jean-Michel Renders, Eamonn J. Keogh, 2010, Encyclopedia of Machine Learning.

A Structured and Linguistic Approach to Understanding Recovery and Relapse in AA

Yue Zhang, Lise Getoor, Jennifer Golbeck, 2020, ACM Trans. Web.

Proceedings of the Eighth Workshop on Mining and Learning with Graphs, MLG '10, Washington, D.C., USA, July 24-25, 2010

Lise Getoor, Ulf Brefeld, Sofus A. Macskassy, 2010, MLG@KDD.

Operating System Support for Data Management on Modern Hardware.

Lise Getoor, Behrouz Babaki, Golnoosh Farnadi, 2019 .

GeoDDupe: A Novel Interface for Interactive Entity Resolution in Geospatial Data

Lise Getoor, Vivek Sehgal, Hyunmo Kang, 2007, 2007 11th International Conference Information Visualization (IV '07).

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

Lise Getoor, Bert Huang, Ben London, 2013, UAI.

Estimating Causal Effects of Tone in Online Debates pdf

Lise Getoor, Dhanya Sridhar, L. Getoor, 2019, IJCAI.

Research Challenges and Opportunities in Knowledge Representation

Tim Finin, Craig Boutilier, Jeff Heflin, 2013 .

HyperFair: A Soft Approach to Integrating Fairness Criteria pdf

Lise Getoor, Charles Dickens, Rishika Singh, 2020, ArXiv.

Exploiting statistical and relational information on the web and in social media

Lise Getoor, Lilyana Mihalkova, L. Getoor, 2011, WSDM '11.

Feature Generation and Selection in Multi-Relational Statistical Learning

Ben Taskar, Lise Getoor, L. Getoor, 2007 .

Link-based Classifi-cation using Labeled and Unlabeled Data

Lise Getoor, Qing Lu, L. Getoor, 2003 .

A Fairness-aware Hybrid Recommender System pdf

Lise Getoor, Golnoosh Farnadi, Sriram Srinivasan, 2018, ArXiv.

Materializing multi-relational databases from the web using taxonomic queries

Steven Minton, Lise Getoor, Matthew Michelson, 2011, WSDM '11.

Learning Algorithms for Link Prediction Based on Chance Constraints

Jun Yu, Lise Getoor, Janardhan Rao Doppa, 2010, ECML/PKDD.

Statistical Relational Learning for Natural Language Information Extraction

Ben Taskar, Lise Getoor, 2007 .

Constructing Folksonomies by Integrating Structured Metadata with Relational Clustering

Kristina Lerman, Lise Getoor, Anon Plangprasopchok, 2010, Collaboratively-Built Knowledge Sources and AI.

Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification

Lise Getoor, Swapna Somasundaran, Janyce Wiebe, 2009, EMNLP.

Collective Relational Clustering

Lise Getoor, Indrajit Bhattacharya, L. Getoor, 2008 .

Identifying graphs from noisy and incomplete data

Lise Getoor, Galileo Namata, L. Getoor, 2009, SKDD.

Probabilistic Interval XML

V. S. Subrahmanian, Lise Getoor, Edward Hung, 2003, ICDT.

Privacy in Social Networks: A Survey

Lise Getoor, Elena Zheleva, L. Getoor, 2011, Social Network Data Analytics.

Pruning social networks using structural properties and descriptive attributes

Lisa Singh, Lise Getoor, Louis Licamele, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Collective entity resolution in multi-relational familial networks

Lise Getoor, Jay Pujara, Pigi Kouki, 2018, Knowledge and Information Systems.

The Benefits of Learning with Strongly Convex Approximate Inference

Lise Getoor, Bert Huang, Ben London, 2015, ICML.

HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems

James R. Foulds, Lise Getoor, Shobeir Fakhraei, 2015, RecSys.

Learning Latent Groups with Hinge-loss Markov Random Fields

Lise Getoor, Bert Huang, Stephen H. Bach, 2013 .

Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04. - 20.04.2007

Luc De Raedt, Thomas G. Dietterich, Kristian Kersting, 2008, Probabilistic, Logical and Relational Learning - A Further Synthesis.

Effective label acquisition for collective classification

Lise Getoor, Mustafa Bilgic, L. Getoor, 2008, KDD.

Integrating Structured Metadata with Relational Affinity Propagation pdf

Kristina Lerman, Lise Getoor, Anon Plangprasopchok, 2010, Statistical Relational Artificial Intelligence.

Drug-target interaction prediction for drug repurposing with probabilistic similarity logic

Louiqa Raschid, Lise Getoor, Shobeir Fakhraei, 2013, BioKDD '13.

Scope and Abstraction: Two Criteria for Localized Planning

Amy L. Lansky, Lise Getoor, L. Getoor, 1995, IJCAI.

Collective Classification in Network Data

Lise Getoor, Tina Eliassi-Rad, Brian Gallagher, 2008, AI Mag..

Query-time entity resolution

Lise Getoor, Indrajit Bhattacharya, L. Getoor, 2006, KDD '06.

The Design and Implementatin of IBAL: A General-Purpose Probabilistic Language

Ben Taskar, Lise Getoor, L. Getoor, 2007 .

Features generated for computational splice-site prediction correspond to functional elements

Lise Getoor, W. John Wilbur, Rezarta Islamaj Dogan, 2007, BMC Bioinformatics.

Link-Based Classification

Lise Getoor, Qing Lu, L. Getoor, 2003, Encyclopedia of Machine Learning and Data Mining.

Online Collective Entity Resolution

Lise Getoor, Indrajit Bhattacharya, 2007, AAAI.

Multi-relational influence models for online professional networks

Lise Getoor, Arti Ramesh, Mario Rodriguez, 2017, WI.

Modeling Learner Engagement in MOOCs using Probabilistic Soft Logic

Lise Getoor, Dan Goldwasser, Hal Daumé, 2013 .

Efficient Resource-constrained Retrospective Analysis of Long Video Sequences

Lise Getoor, David W. Jacobs, Mustafa Bilgic, 2009, NIPS 2009.

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

Lise Getoor, Marc A. Smith, Howard T. Welser, 2009, ICWSM.

Link-Based Classification

Lise Getoor, Qing Lu, L. Getoor, 2003, Encyclopedia of Machine Learning and Data Mining.

Efficient learning using constrained sufficient statistics

Lise Getoor, Nir Friedman, N. Friedman, 1999, AISTATS.

Knowledge Graph Identification

Lise Getoor, William W. Cohen, Jay Pujara, 2013, SEMWEB.

Planned Protest Modeling in News and Social Media

Naren Ramakrishnan, Lise Getoor, Bert Huang, 2015, AAAI.

Entity Resolution at Large Scale: Benchmarking and Algorithmics.

Lise Getoor, Jonathan W. Berry, Eriq Augustine, 2018 .

Panel Discussion on Artificial Intelligence Theory and Practice: Hard Challenges and Opportunities Ahead

James A. Hendler, Henry Kautz, Eric Horvitz, 2016 .

Collective Classification

Lise Getoor, Prithviraj Sen, Mustafa Bilgic, 2010, Encyclopedia of Machine Learning.

Probabilistic Visitor Stitching on Cross-Device Web Logs

Lise Getoor, Jay Pujara, Eunyee Koh, 2017, WWW.

TACI: Taxonomy-Aware Catalog Integration

Lise Getoor, Ariel Fuxman, Panayiotis Tsaparas, 2013, IEEE Transactions on Knowledge and Data Engineering.

Proceedings of the Twenty-Eighth International Conference on Machine Learning

Lise Getoor, Tobias Scheffer, L. Getoor, 2011 .

Using Semantics and Statistics to Turn Data into Knowledge

Lise Getoor, William W. Cohen, Jay Pujara, 2015, AI Mag..

Bisimulation-based Approximate Lifted Inference pdf

Lise Getoor, Prithviraj Sen, Amol Deshpande, 2009, UAI.

Relational clustering for multi-type entity resolution

Lise Getoor, Indrajit Bhattacharya, L. Getoor, 2005, MRDM '05.

Constructing folksonomies by integrating structured metadata

Kristina Lerman, Lise Getoor, Anon Plangprasopchok, 2010, WWW '10.

RELLY: Inferring Hypernym Relationships Between Relational Phrases

James R. Foulds, Gerhard Weikum, Lise Getoor, 2015, EMNLP.

HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades

James R. Foulds, Yan Liu, Theodoros Rekatsinas, 2015, ICML.

Stochastic Logic Programs: A Tutorial

Ben Taskar, Lise Getoor, 2007 .

Collective Graph Identification

Lise Getoor, Ben London, Galileo Namata, 2016, ACM Trans. Knowl. Discov. Data.

A workshop report: mining for and from the Semantic Web at KDD 2004

York Sure-Vetter, Andreas Hotho, Lise Getoor, 2004, SKDD.

AAAI 2000 Workshop Reports

Gerd Wagner, David W. Aha, Yolanda Gil, 2001, AI Mag..

A probabilistic approach for learning folksonomies from structured data pdf

Kristina Lerman, Lise Getoor, Anon Plangprasopchok, 2011, WSDM '11.

Probabilistic Soft Logic: A Scalable Approach for Markov Random Fields over Continuous-Valued Variables - (Abstract of Keynote Talk)

Lise Getoor, 2013, RuleML.

The COLLAGE/KHOROS Link: Planning for Image Processing Tasks

Amy L. Lansky, Lise Getoor, Scott C. Schmidler, 1995 .

User Preferences for Hybrid Explanations

Lise Getoor, Jay Pujara, John O'Donovan, 2017, RecSys.

Causal Relational Learning

Dan Suciu, Lise Getoor, Babak Salimi, 2020, SIGMOD Conference.

An Introduction to Probabilistic Graphical Models for Relational Data

Lise Getoor, L. Getoor, 2006, IEEE Data Eng. Bull..

Scalable structured prediction for richly structured socio-behavioral data

Lise Getoor, 2018, RecSys.

Entity Resolution in Graphs

Lise Getoor, Indrajit Bhattacharya, L. Getoor, 2005 .

Trusting spam reporters: A reporter-based reputation system for email filtering

Lise Getoor, Aleksander Kolcz, Elena Zheleva, 2008, TOIS.

'Beating the news' with EMBERS: forecasting civil unrest using open source indicators

Aravind Srinivasan, Liang Zhao, Chang-Tien Lu, 2014, KDD.

Learning statistical models from relational data

Lise Getoor, Lilyana Mihalkova, L. Getoor, 2011, SIGMOD '11.

Active inference for retrieval in camera networks

Lise Getoor, Mustafa Bilgic, Tom Yeh, 2011, 2011 IEEE Workshop on Person-Oriented Vision.

ASONAM 2016 panel: Social network analysis for social good

Lisa Singh, V. S. Subrahmanian, Lada A. Adamic, 2016, International Conference on Advances in Social Networks Analysis and Mining.

Capturing Planned Protests from Open Source Indicators

Naren Ramakrishnan, Lise Getoor, Bert Huang, 2016, AI Mag..

Effective Redundant Constraints for Online Scheduling

Lise Getoor, Markus P. J. Fromherz, Björn Carlson, 1997, AAAI/IAAI.

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

Jian Pei, Lise Getoor, Ander de Keijzer, 2010, SKDD.

Increasing the Predictive Power of Affiliation Networks

Lisa Singh, Lise Getoor, L. Getoor, 2007, IEEE Data Eng. Bull..

GRDB: a system for declarative and interactive analysis of noisy information networks

Lise Getoor, Amol Deshpande, Hui Miao, 2013, SIGMOD '13.

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24 - 27, 2003

Christos Faloutsos, Pedro M. Domingos, Lise Getoor, 2003, KDD.

Learning Probabilistic Relational Models

Lise Getoor, L. Getoor, Nir Friedman, 1999, IJCAI.

Exploiting shared correlations in probabilistic databases

Lise Getoor, Prithviraj Sen, Amol Deshpande, 2008, Proc. VLDB Endow..

Statistical Relational Learning: Unifying AI & DB Perspectives on Structured Probabilistic Models

Lise Getoor, L. Getoor, 2017, PODS.

A Collective, Probabilistic Approach to Schema Mapping

Renée J. Miller, Lise Getoor, Angelika Kimmig, 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).

A Feature Generation Algorithm for Sequences with Application to Splice-Site Prediction

Lise Getoor, W. John Wilbur, Rezarta Islamaj Dogan, 2006, PKDD.

Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data

Jian Pei, Lise Getoor, Ander de Keijzer, 2009, KDD 2009.

Generic Statistical Relational Entity Resolution in Knowledge Graphs pdf

Lise Getoor, Jay Pujara, 2016, ArXiv.

Reducing Label Cost by Combining Feature Labels and Crowdsourcing

Lise Getoor, Jay Pujara, Ben London, 2011 .

To join or not to join: the illusion of privacy in social networks with mixed public and private user profiles

Lise Getoor, Elena Zheleva, L. Getoor, 2009, WWW '09.

Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization

Dianne P. O'Leary, Lise Getoor, Stephen H. Bach, 2012, NIPS.

Bayesian Logic Programming: Theory and Tool

Ben Taskar, Lise Getoor, L. Getoor, 2007 .

Reinforcement Learning in Relational Domains: A Policy-Language Approach

Ben Taskar, Lise Getoor, 2007 .

Extending PSL with Fuzzy Quantifiers

Marie-Francine Moens, Martine De Cock, Lise Getoor, 2014, AAAI Workshop: Statistical Relational Artificial Intelligence.

PRL: A probabilistic relational language

John Grant, Lise Getoor, L. Getoor, 2006, Machine Learning.

The Power of Relational Learning (Invited Talk)

Lise Getoor, 2019, ICDT.

Understanding MOOC Discussion Forums using Seeded LDA

Lise Getoor, Bert Huang, Dan Goldwasser, 2014, BEA@ACL.

Stability vs. Diversity: Understanding the Dynamics of Actors in Time-Varying Affiliation Networks

Lisa Singh, Lise Getoor, Hossam Sharara, 2012, 2012 International Conference on Social Informatics.

Ontology-aware partitioning for knowledge graph identification

Lise Getoor, William W. Cohen, Jay Pujara, 2013, AKBC '13.

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

Lise Getoor, Neoklis Polyzotis, Karl Schnaitter, 2009, Proc. VLDB Endow..

SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources

Naren Ramakrishnan, Theodoros Rekatsinas, Elaine O. Nsoesie, 2015, SDM.

Probabilistic Entity-Relationship Models, PRMs, and Plate Models

Ben Taskar, Lise Getoor, L. Getoor, 2007 .

Group Detection

Lise Getoor, Hossam Sharara, 2017, Encyclopedia of Machine Learning and Data Mining.

Iterative record linkage for cleaning and integration

Lise Getoor, Indrajit Bhattacharya, L. Getoor, 2004, DMKD '04.

Collective Entity Resolution in Familial Networks

Lise Getoor, Jay Pujara, Laura M. Koehly, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Co-evolution of social and affiliation networks

Lise Getoor, Elena Zheleva, Hossam Sharara, 2009, KDD.

A Latent Dirichlet Model for Unsupervised Entity Resolution

Lise Getoor, Indrajit Bhattacharya, L. Getoor, 2005, SDM.

PrDB: managing and exploiting rich correlations in probabilistic databases

Lise Getoor, Prithviraj Sen, Amol Deshpande, 2009, The VLDB Journal.

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

Ben Taskar, Lise Getoor, L. Getoor, 2007 .

A Structured Approach to Understanding Recovery and Relapse in AA

Yue Zhang, Lise Getoor, Jennifer Golbeck, 2018, WWW.

SourceSight: Enabling Effective Source Selection

Divesh Srivastava, Theodoros Rekatsinas, Lise Getoor, 2016, SIGMOD Conference.

Combining Tuple and Attribute Uncertainty in Probabilistic Databases

Lise Getoor, 2007, MUD.

Learning a New View of a Database: With an Application in Mammography

Ben Taskar, Lise Getoor, L. Getoor, 2007 .

Stability and Generalization in Structured Prediction

Lise Getoor, Bert Huang, Ben London, 2016, J. Mach. Learn. Res..

Characterizing RNA Secondary-Structure Features and Their Effects on Splice-Site Prediction

Lise Getoor, W. John Wilbur, Rezarta Islamaj Dogan, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

Visual analysis of dynamic group membership in temporal social networks

Lisa Singh, Lise Getoor, Hyunmo Kang, 2007, SKDD.

Certainty Equivalence Principle

Jean-Michel Renders, João Gama, Lise Getoor, 2010, Encyclopedia of Machine Learning and Data Mining.

Collective Activity Detection Using Hinge-loss Markov Random Fields

Larry S. Davis, Lise Getoor, Bert Huang, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

Link Mining and Link Discovery

Lise Getoor, 2010, Encyclopedia of Machine Learning.

Learning in Logic

Lise Getoor, Stefan Wrobel, Sethu Vijayakumar, 2010, Encyclopedia of Machine Learning.

Dynamic Processing Allocation in Video

Lise Getoor, David W. Jacobs, Mustafa Bilgic, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Click-Through Rate (CTR)

Jean-Michel Renders, João Gama, Eamonn J. Keogh, 2010, Encyclopedia of Machine Learning and Data Mining.

Fairness-Aware Relational Learning and Inference

Lise Getoor, Behrouz Babaki, Golnoosh Farnadi, 2018, AAAI Workshops.

Collective Stability in Structured Prediction: Generalization from One Example

Ben Taskar, Lise Getoor, Bert Huang, 2013, ICML.

Disambiguating Energy Disaggregation: A Collective Probabilistic Approach

Lise Getoor, Jay Pujara, Sabina Tomkins, 2017, IJCAI.

Scalable text and link analysis with mixed-topic link models

Cristopher Moore, Lise Getoor, Xiaoran Yan, 2013, KDD.

Interactive Entity Resolution in Relational Data: A Visual Analytic Tool and Its Evaluation

Ben Shneiderman, Lise Getoor, Louis Licamele, 2008, IEEE Transactions on Visualization and Computer Graphics.

Collective Stance Classification of Posts in Online Debate Forums

Marilyn A. Walker, Lise Getoor, Dhanya Sridhar, 2014 .

Subgraph pattern matching over uncertain graphs with identity linkage uncertainty

Lise Getoor, Amol Deshpande, Angelika Kimmig, 2014, 2014 IEEE 30th International Conference on Data Engineering.

Statistical Relational Learning with Soft Quantifiers

Marie-Francine Moens, Martine De Cock, Lise Getoor, 2015, ILP.

Preserving the Privacy of Sensitive Relationships in Graph Data

Lise Getoor, Elena Zheleva, L. Getoor, 2007, PinKDD.

Using Friendship Ties and Family Circles for Link Prediction

Lise Getoor, Jennifer Golbeck, Ugur Kuter, 2008, SNAKDD.

Entity Resolution

Lise Getoor, Indrajit Bhattacharya, L. Getoor, 2010, Encyclopedia of Machine Learning.

A probabilistic approach for collective similarity-based drug-drug interaction prediction

Lise Getoor, Dhanya Sridhar, Shobeir Fakhraei, 2016, Bioinform..

Eighth workshop on mining and learning with graphs

Lise Getoor, Ulf Brefeld, Sofus A. Macskassy, 2011, SKDD.

Explanation

Subbarao Kambhampati, Krzysztof Krawiec, Moshe Sipper, 1953, Cladistics : the international journal of the Willi Hennig Society.

Entity Resolution

Lise Getoor, Indrajit Bhattacharya, 2017, Encyclopedia of Machine Learning and Data Mining.

A Survey of Link Mining Tasks for Analyzing Noisy and Incomplete Networks

Lise Getoor, Hossam Sharara, Galileo Mark S. Namata, 2010, Link Mining.

Evolutionary Computing

Subbarao Kambhampati, Krzysztof Krawiec, Moshe Sipper, 1997, Lecture Notes in Computer Science.

VMI-PSL: Visual Model Inspector for Probabilistic Soft Logic

Lise Getoor, Eriq Augustine, Aaron Rodden, 2020, RecSys.

Multi-relational Weighted Tensor Decomposition

Lise Getoor, Bert Huang, Ben London, 2012 .

Leveraging social context for searching social media

Lise Getoor, Hady Wirawan Lauw, Marc A. Smith, 2008, SSM '08.

Estimating Aggregate Properties In Relational Networks With Unobserved Data pdf

Lise Getoor, Varun R. Embar, Sriram Srinivasan, 2020, ArXiv.

Deduplication and Group Detection using Links

Lise Getoor, Indrajit Bhattacharya, L. Getoor, 2004 .

Ego-centric Graph Pattern Census

Lise Getoor, Amol Deshpande, Walaa Eldin Moustafa, 2012, 2012 IEEE 28th International Conference on Data Engineering.

Leveraging Data and Structure in

Lise Getoor, Octavian Udrea, L. Getoor, 2009 .

A Unified Probabilistic Approach for Semantic Clustering of Relational Phrases

Gerhard Weikum, Lise Getoor, Jay Pujara, 2014 .

A Collective, Probabilistic Approach to Schema Mapping: Appendix pdf

Renée J. Miller, Lise Getoor, Angelika Kimmig, 2017, ArXiv.

Tutorial on Statistical Relational Learning

Lise Getoor, 2005, ILP.

Soft quantification in statistical relational learning

Marie-Francine Moens, Martine De Cock, Lise Getoor, 2017, Machine Learning.

Learning Probabilistic Models of Link Structure

Ben Taskar, Lise Getoor, Nir Friedman, 2003, J. Mach. Learn. Res..

Understanding tuberculosis epidemiology using structured statistical models

Lise Getoor, Daphne Koller, Peter Small, 2004, Artif. Intell. Medicine.

Forecasting rare disease outbreaks from open source indicators

Naren Ramakrishnan, Theodoros Rekatsinas, Elaine O. Nsoesie, 2017, Stat. Anal. Data Min..

Relational Markov Networks

Ben Taskar, Lise Getoor, L. Getoor, 2007 .

A short introduction to probabilistic soft logic

Lise Getoor, Bert Huang, Stephen H. Bach, 2012, NIPS 2012.

Entity Resolution: Theory, Practice & Open Challenges

Ashwin Machanavajjhala, Lise Getoor, L. Getoor, 2012, Proc. VLDB Endow..

Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence

Marie desJardins, Lise Getoor, Priyang Rathod, 2005, ECML.

A Declarative Approach to Fairness in Relational Domains

Lise Getoor, Behrouz Babaki, Golnoosh Farnadi, 2019, IEEE Data Eng. Bull..

Indirect two-sided relative ranking: a robust similarity measure for gene expression data

Lise Getoor, Louis Licamele, L. Getoor, 2010, BMC Bioinformatics.

Classification Tree

John Case, Sanjay Jain, Jean-Michel Renders, 2010, Encyclopedia of Machine Learning.

Organizing User Search Histories

Lise Getoor, Heasoo Hwang, Alexandros Ntoulas, 2012, IEEE Transactions on Knowledge and Data Engineering.

The Dynamics of Actor Loyalty to Groups in Affiliation Networks

Lisa Singh, Lise Getoor, Hossam Sharara, 2009, 2009 International Conference on Advances in Social Network Analysis and Mining.

Local structure and determinism in probabilistic databases

Theodoros Rekatsinas, Lise Getoor, Amol Deshpande, 2012, SIGMOD Conference.

Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage

Lise Getoor, Xin Luna Dong, Christos Faloutsos, 2020, AKBC.

Inductive Logic Programming in a Nutshell

Ben Taskar, Lise Getoor, L. Getoor, 2007 .

Classification of group behaviors in social media via social behavior grammars

Lise Getoor, Georgiy Levchuk, Marc A. Smith, 2014, Defense + Security Symposium.

Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss pdf

Theodoros Rekatsinas, Lise Getoor, Bert Huang, 2013, ArXiv.

Link Prediction

Lise Getoor, Galileo Namata, 2017, Encyclopedia of Machine Learning and Data Mining.

Relationship Identification for Social Network Discovery

Lise Getoor, Galileo Namata, Christopher P. Diehl, 2007, AAAI.

Improved Generalization Bounds for Large-scale Structured Prediction

Lise Getoor, Bert Huang, Ben London, 2012 .

Collective Classification in Network Data

Lise Getoor, Ben London, L. Getoor, 2008, AI Mag..

An Introduction to Conditional Random Fields for Relational Learning

Ben Taskar, Lise Getoor, L. Getoor, 2007 .

Name Reference Resolution in Organizational Email Archives

Lise Getoor, Galileo Namata, Christopher P. Diehl, 2006, SDM.

Declarative analysis of noisy information networks

Lise Getoor, Amol Deshpande, Galileo Namata, 2011, 2011 IEEE 27th International Conference on Data Engineering Workshops.

BLOG: Probabilistic Models with Unknown Objects

Ben Taskar, Lise Getoor, L. Getoor, 2007 .

Structured machine learning: the next ten years

Thomas G. Dietterich, Stephen Muggleton, Pedro M. Domingos, 2008, Machine Learning.

Link mining: a new data mining challenge

Lise Getoor, L. Getoor, 2003, SKDD.

Feature generation and analysis applied to sequence classification for splice-site prediction

Lise Getoor, Rezarta Islamaj, 2007 .

Privacy in Social Networks

Lise Getoor, Evimaria Terzi, Elena Zheleva, 2012, Synthesis Lectures on Data Mining and Knowledge Discovery.

Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs

Lise Getoor, Bert Huang, Stephen H. Bach, 2015, ICML.

Statistical Relational Learning as an Enabling Technology for Data Acquisition and Data Fusion in Heterogeneous Sensor Networks

Lise Getoor, David W. Jacobs, 2008 .

Topic Evolution Models for Long-Running MOOCs

Lise Getoor, Arti Ramesh, L. Getoor, 2018, WISE.

Introduction to the special issue on link mining

Lise Getoor, Christopher P. Diehl, 2005, SKDD.

Identifying Facet Mismatches In Search Via Micrographs

Lise Getoor, Karthik Subbian, Nikhil S. Rao, 2019, CIKM.

Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January - 4. February 2005

Luc De Raedt, Thomas G. Dietterich, Stephen Muggleton, 2006, Probabilistic, Logical and Relational Learning.

Visual Mining of Multi-Modal Social Networks at Different Abstraction Levels

Lisa Singh, M. Brian Blake, Lise Getoor, 2007, 2007 11th International Conference Information Visualization (IV '07).

Poster Abstract: Contextual Air Conditioning Disaggregation with Probabilistic Soft Logic

Lise Getoor, Sabina Tomkins, 2015, BuildSys@SenSys.

The Impact of Environmental Stressors on Human Trafficking

Steven Minton, Lise Getoor, Golnoosh Farnadi, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

A Pipeline Approach to Graph Identification

Lise Getoor, Galileo Namata, L. Getoor, 2009 .

Graph-based Generalization Bounds for Learning Binary Relations pdf

Lise Getoor, Bert Huang, Ben London, 2013, ArXiv.

Characterizing RNA Secondary-Structure Features and Their Effects on Splice-Site Prediction

Lise Getoor, Rezarta Islamaj Dogan, W. J. Wilbur, 2007 .

A Collective, Probabilistic Approach to Schema Mapping Using Diverse Noisy Evidence

Renée J. Miller, Lise Getoor, Angelika Kimmig, 2019, IEEE Transactions on Knowledge and Data Engineering.

Using classifier cascades for scalable e-mail classification

Lise Getoor, Jay Pujara, Hal Daumé, 2011, CEAS '11.

SplicePort—An interactive splice-site analysis tool

Lise Getoor, W. John Wilbur, Rezarta Islamaj Dogan, 2007, Nucleic Acids Res..

Using the structure of Web sites for automatic segmentation of tables

Kristina Lerman, Craig A. Knoblock, Steven Minton, 2004, SIGMOD '04.

Large-Scale Knowledge Graph Identification Using PSL

Lise Getoor, William W. Cohen, Jay Pujara, 2013, AAAI Fall Symposia.

G-PARE: A visual analytic tool for comparative analysis of uncertain graphs

Lisa Singh, Lise Getoor, Galileo Namata, 2011, 2011 IEEE Conference on Visual Analytics Science and Technology (VAST).

Relational Dependency Networks

Ben Taskar, Lise Getoor, 2007 .

Learning from Labeled and Unlabeled Data

Lise Getoor, Stefan Wrobel, Stefan Schaal, 2010, Encyclopedia of Machine Learning.

Markov Logic: A Unifying Framework for Statistical Relational Learning

Ben Taskar, Lise Getoor, L. Getoor, 2007 .

Is there a grand challenge or X-prize for data mining?

Chabane Djeraba, Gregory Piatetsky-Shapiro, Lise Getoor, 2006, KDD '06.

On Maximum Coverage in the Streaming Model & Application to Multi-topic Blog-Watch

Lise Getoor, Barna Saha, L. Getoor, 2009, SDM.

The Responsibility Challenge for Data

Krishna P. Gummadi, Lise Getoor, Tina Eliassi-Rad, 2019, SIGMOD Conference.

Responsible Data Science

Lise Getoor, 2019, WWW.

Topic Modeling for Wikipedia Link Disambiguation

Lise Getoor, Bradley Skaggs, L. Getoor, 2014, ACM Trans. Inf. Syst..

Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models

James R. Foulds, Lise Getoor, Shachi H. Kumar, 2015, ICML.

Capital and benefit in social networks

Nick Roussopoulos, Lise Getoor, Louis Licamele, 2005, LinkKDD '05.

Probabilistic interval XML

V. S. Subrahmanian, Lise Getoor, Edward Hung, 2003, TOCL.

A Feature Generation Algorithm with Applications to Bio- logical Sequence Classiﬁcation

Lise Getoor, W. John Wilbur, Rezarta Islamaj Dogan, 2007 .

Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields

Lise Getoor, Bert Huang, Dan Goldwasser, 2020, IEEE Transactions on Learning Technologies.

A Socio-linguistic Model for Cyberbullying Detection

Yi Zhang, Yunfei Chen, Lise Getoor, 2018, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Learning Probabilistic Models of Relational Structure

Ben Taskar, Lise Getoor, Nir Friedman, 2001, ICML.

FutureRank: Ranking Scientific Articles by Predicting their Future PageRank

Lise Getoor, Hassan Sayyadi, L. Getoor, 2009, SDM.

Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models

Yoshua Bengio, Lise Getoor, Indrajit Bhattacharya, 2004, ACL.

Graph Identification

Lise Getoor, L. Getoor, 2010, IDA.

Probabilistic soft logic for trust analysis in social networks

Lise Getoor, Bert Huang, Jennifer Golbeck, 2012 .

Unsupervised models for predicting strategic relations between organizations

Ellen Riloff, Lise Getoor, Jay Pujara, 2016, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

A hypergraph-partitioned vertex programming approach for large-scale consensus optimization

Lise Getoor, Bert Huang, Hui Miao, 2013, 2013 IEEE International Conference on Big Data.

Uncovering hidden engagement patterns for predicting learner performance in MOOCs

Lise Getoor, Bert Huang, Dan Goldwasser, 2014, L@S.

Technical Perspective

Lise Getoor, 2020, SIGMOD Rec..

Ieee/acm Transactions on Computational Biology and Bioinformatics 1 Network-based Drug-target Interaction Prediction with Probabilistic Soft Logic

Louiqa Raschid, Lise Getoor, Bert Huang, 2022 .

Predicting Post-Test Performance from Student Behavior: A High School MOOC Case Study

Lise Getoor, Arti Ramesh, Sabina Tomkins, 2016, EDM.

Representing Tuple and Attribute Uncertainty in Probabilistic Databases

Lise Getoor, Prithviraj Sen, Amol Deshpande, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

Cost-sensitive learning with conditional Markov networks

Lise Getoor, Prithviraj Sen, L. Getoor, 2006, Data Mining and Knowledge Discovery.

Understanding actor loyalty to event-based groups in affiliation networks

Lisa Singh, Lise Getoor, Hossam Sharara, 2011, Social Network Analysis and Mining.

Leveraging data and structure in ontology integration

Renée J. Miller, Lise Getoor, Octavian Udrea, 2007, SIGMOD '07.

Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks pdf

Lise Getoor, Jay Pujara, Dhanya Sridhar, 2016, ArXiv.

Learning Structure From Statistical Models

Lise Getoor, 2003, IEEE Data Eng. Bull..

Combining Collective Classification and Link Prediction

Lise Getoor, Mustafa Bilgic, Galileo Namata, 2007 .

Probabilistic Similarity Logic

Lise Getoor, Matthias Broecheler, Lilyana Mihalkova, 2010, UAI.

Learning Probabilistic Relational Models with Structural Uncertainty

Lise Getoor, Nir Friedman, Daphne Koller, 2000 .

Group Detection

Lise Getoor, Hossam Sharara, L. Getoor, 2010, Encyclopedia of Machine Learning and Data Mining.

Responsible Data Science

Lise Getoor, 2019, SIGMOD Conference.

Personalized explanations for hybrid recommender systems

Lise Getoor, Jay Pujara, John O'Donovan, 2019, IUI.

Collective Spammer Detection in Evolving Multi-Relational Social Networks

James R. Foulds, Lise Getoor, Shobeir Fakhraei, 2015, KDD.

Selectivity estimation using probabilistic models

Ben Taskar, Lise Getoor, Daphne Koller, 2001, SIGMOD '01.

Finding Quality in Quantity: The Challenge of Discovering Valuable Sources for Integration

Divesh Srivastava, Theodoros Rekatsinas, Lise Getoor, 2015, CIDR.

Online Scheduling for Reprographic Machines

Lise Getoor, Markus P. J. Fromherz, Duplex Loop, 1997 .

VOILA: Efficient Feature-value Acquisition for Classification

Lise Getoor, Mustafa Bilgic, L. Getoor, 2007, AAAI.

Link Prediction

Lise Getoor, Galileo Namata, 2010, Encyclopedia of Machine Learning.

Responsible Data Science

Lise Getoor, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Differential Adaptive Diffusion: Understanding Diversity and Learning Whom to Trust in Viral Marketing

William Rand, Lise Getoor, Hossam Sharara, 2011, ICWSM.

Graphical Models in a Nutshell

Ben Taskar, Lise Getoor, L. Getoor, 2007 .

Generating and Understanding Personalized Explanations in Hybrid Recommender Systems

Lise Getoor, Jay Pujara, John O’Donovan, 2020, ACM Trans. Interact. Intell. Syst..

Representing Tuple and Attribute Uncertainty in Probabilistic Databases

Lise Getoor, Prithviraj Sen, Amol Deshpande, 2007 .

Scalable Structure Learning for Probabilistic Soft Logic pdf

Lise Getoor, Dhanya Sridhar, Golnoosh Farnadi, 2018, ArXiv.

PXML: a probabilistic semistructured data model and algebra

V. S. Subrahmanian, Lise Getoor, Edward Hung, 2003, Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405).

Introduction to statistical relational learning

Ben Taskar, Lise Getoor, L. Getoor, 2007 .

From Instances to Classes in Probabilistic Relational Models

Lise Getoor, Nir Friedman, Daphne Koller, 2000, ICML 2000.

Link mining: a survey

Lise Getoor, Christopher P. Diehl, L. Getoor, 2005, SKDD.

BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic

Lise Getoor, Golnoosh Farnadi, Sriram Srinivasan, 2020, AAAI.

Sustainability at scale: towards bridging the intention-behavior gap with sustainable recommendations

Steven Isley, Lise Getoor, Ben London, 2018, RecSys.

Predicting Protein-Protein Interactions Using Relational Features

Lise Getoor, Louis Licamele, L. Getoor, 2007 .

Context-Aware Online Collective Inference for Templated Graphical Models

Lise Getoor, Eriq Augustine, Charles Dickens, 2021, ICML.

DiffXtract: Joint Discriminative Product Attribute-Value Extraction

Christos Faloutsos, Lise Getoor, Bunyamin Sisman, 2021, 2021 IEEE International Conference on Big Knowledge (ICBK).

Local Explanation of Dialogue Response Generation pdf

Lise Getoor, Yi-Lin Tuan, Wenhu Chen, 2021, ArXiv.

D-REX: Dialogue Relation Extraction with Explanations pdf

Lise Getoor, Yi-Lin Tuan, Alon Albalak, 2021, ArXiv.

A comparison of statistical relational learning and graph neural networks for aggregate graph queries

Lise Getoor, Sriram Srinivasan, Varun R. Embar, 2021, Machine Learning.

Finding Prominent Actors in Dynamic Affiliation Networks

Lisa Singh, Lise Getoor, Hossam Sharara, 2012 .

Proximity Measure for Recommending Groups in Online Social Networks

Lise Getoor, Barna Saha, L. Getoor, 2008 .

Multi-Relational Data Mining using Probabilistic Models Research Summary

Lise Getoor, 2001 .

Combining statistical and logical inference for ontology alignment

Lise Getoor, Octavian Udrea, 2006 .

Common effect of antipsychotics on the biosynthesis and regulation of fatty acids and cholesterol supports a key role of lipid homeostasis in schizophrenia

Lise Getoor, Louis Licamele, Simona Volpi, 2009, Schizophrenia Research.

HOMER : Ontology alignment visualization and analysis

Lise Getoor, Octavian Udrea, Renée J. Miller, 2007 .

Understanding Influence in Online Professional Networks

Lise Getoor, Arti Ramesh, Mario Rodriguez, 2015 .

Personal Name Resolution in Email : A Heuristic Approach

Douglas W. Oard, Lise Getoor, Tamer Elsayed, 2008 .

Learning to Predict Web Collaborations

Lise Getoor, Lilyana Mihalkova, L. Getoor, 2011 .

Utility Elicitation as a Classiication Problem

Lise Getoor, Urszula Chajewska, 1998 .

Using Semantics & Statistics to Turn Data into Knowledge

Lise Getoor, Jay Pujara, Hui Miao, 2014 .

How friendship links and group memberships affect the privacy of individuals in social networks

Lise Getoor, Elena Zheleva, L. Getoor, 2008 .

Decision-Driven Models with Probabilistic Soft Logic

Lise Getoor, Stanley Kok, Stephen H. Bach, 2010 .

Practical Planning in COLLAGE

Amy L. Lansky, Lise Getoor, Peter Friedland, 1994 .