Lise Getoor - RankMe

311 papers A* 60A 32B 12C 5Journal 105Unranked 77

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Neural-Symbolic Architectural Axioms of Integration: A Manifesto. NeSy Connor Pryor, Lise Getoor
2024	J	`jnl`	A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic Systems. CoRR Charles Dickens, Connor Pryor, Changyu Gao, Alon Albalak, Eriq Augustine, William Yang Wang, Stephen J. Wright, Lise Getoor
2024	A*	`conf`	Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning. ICML Charles Andrew Dickens, Changyu Gao, Connor Pryor, Stephen J. Wright, Lise Getoor
2024	J	`jnl`	Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning. CoRR Charles Dickens, Changyu Gao, Connor Pryor, Stephen J. Wright, Lise Getoor
2024	—	`conf`	Modeling Patterns for Neural-Symbolic Reasoning Using Energy-based Models. AAAI Spring Symposia Charles Dickens, Connor Pryor, Lise Getoor
2024	J	`jnl`	Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic. CoRR Connor Pryor, Quan Yuan, Jeremiah Z. Liu, Mehran Kazemi, Deepak Ramachandran, Tania Bedrax-Weiss, Lise Getoor
2023	—	`conf`	CausalDialogue: Modeling Utterance-level Causality in Conversations. ACL (Findings) Yi-Lin Tuan, Alon Albalak, Wenda Xu, Michael Saxon, Connor Pryor, Lise Getoor, William Yang Wang
2023	J	`jnl`	Collective Grounding: Applying Database Techniques to Grounding Templated Models. Proc. VLDB Endow. Eriq Augustine, Lise Getoor
2023	A*	`conf`	ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation. ICML Kaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, Xin Eric Wang
2023	J	`jnl`	ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation. CoRR Kaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, Xin Eric Wang
2023	A*	`conf`	NeuPSL: Neural Probabilistic Soft Logic. IJCAI Connor Pryor, Charles Dickens, Eriq Augustine, Alon Albalak, William Yang Wang, Lise Getoor
2023	—	`conf`	Online Collective Demand Forecasting for Bike Sharing Services. HICSS Charles Dickens, Alexander Miller, Lise Getoor
2023	—	`conf`	Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic. ACL (1) Connor Pryor, Quan Yuan, Jeremiah Z. Liu, Mehran Kazemi, Deepak Ramachandran, Tania Bedrax-Weiss, Lise Getoor
2022	J	`jnl`	A taxonomy of weight learning methods for statistical relational learning. Mach. Learn. Sriram Srinivasan, Charles Dickens, Eriq Augustine, Golnoosh Farnadi, Lise Getoor
2022	J	`jnl`	CausalDialogue: Modeling Utterance-level Causality in Conversations. CoRR Yi-Lin Tuan, Alon Albalak, Wenda Xu, Michael Saxon, Connor Pryor, Lise Getoor, William Yang Wang
2022	—	`conf`	D-REX: Dialogue Relation Extraction with Explanations. ConvAI@ACL Alon Albalak, Varun Embar, Yi-Lin Tuan, Lise Getoor, William Yang Wang
2022	J	`jnl`	Emotion Recognition in Conversation using Probabilistic Soft Logic. CoRR Eriq Augustine, Pegah Jandaghi, Alon Albalak, Connor Pryor, Charles Dickens, William Yang Wang, Lise Getoor
2022	A*	`conf`	FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue. EMNLP Alon Albalak, Yi-Lin Tuan, Pegah Jandaghi, Connor Pryor, Luke Yoffe, Deepak Ramachandran, Lise Getoor, Jay Pujara, William Yang Wang
2022	J	`jnl`	FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue. CoRR Alon Albalak, Yi-Lin Tuan, Pegah Jandaghi, Connor Pryor, Luke Yoffe, Deepak Ramachandran, Lise Getoor, Jay Pujara, William Yang Wang
2022	A	`conf`	Learning explainable templated graphical models. UAI Varun Embar, Sriram Srinivasan, Lise Getoor
2022	B	`conf`	Multi-relational Affinity Propagation. ASONAM Hossam Sharara, Lise Getoor
2022	J	`jnl`	NeuPSL: Neural Probabilistic Soft Logic. CoRR Connor Pryor, Charles Dickens, Eriq Augustine, Alon Albalak, William Yang Wang, Lise Getoor
2022	A*	`conf`	The Power of (Statistical) Relational Thinking. KDD Lise Getoor
2022	C	`conf`	Visual Sudoku Puzzle Classification: A Suite of Collective Neuro-Symbolic Tasks. NeSy Eriq Augustine, Connor Pryor, Charles Dickens, Jay Pujara, William Yang Wang, Lise Getoor
2021	J	`jnl`	A Structured and Linguistic Approach to Understanding Recovery and Relapse in AA. ACM Trans. Web Shawn Bailey, Yue Zhang, Arti Ramesh, Jennifer Golbeck, Lise Getoor
2021	J	`jnl`	A comparison of statistical relational learning and graph neural networks for aggregate graph queries. Mach. Learn. Varun Embar, Sriram Srinivasan, Lise Getoor
2021	A*	`conf`	Context-Aware Online Collective Inference for Templated Graphical Models. ICML Charles Dickens, Connor Pryor, Eriq Augustine, Alexander Miller, Lise Getoor
2021	J	`jnl`	D-REX: Dialogue Relation Extraction with Explanations. CoRR Alon Albalak, Varun Embar, Yi-Lin Tuan, Lise Getoor, William Yang Wang
2021	—	`conf`	DiffXtract: Joint Discriminative Product Attribute-Value Extraction. ICBK Varun Embar, Andrey Kan, Bunyamin Sisman, Christos Faloutsos, Lise Getoor
2021	A*	`conf`	Local Explanation of Dialogue Response Generation. NeurIPS Yi-Lin Tuan, Connor Pryor, Wenhu Chen, Lise Getoor, William Yang Wang
2021	J	`jnl`	Local Explanation of Dialogue Response Generation. CoRR Yi-Lin Tuan, Connor Pryor, Wenhu Chen, Lise Getoor, William Yang Wang
2020	A*	`conf`	BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic. AAAI Sriram Srinivasan, Golnoosh Farnadi, Lise Getoor
2020	—	`conf`	Causal Relational Learning. SIGMOD Conference Babak Salimi, Harsh Parikh, Moe Kayali, Lise Getoor, Sudeepa Roy, Dan Suciu
2020	J	`jnl`	Causal Relational Learning. CoRR Babak Salimi, Harsh Parikh, Moe Kayali, Sudeepa Roy, Lise Getoor, Dan Suciu
2020	—	`conf`	Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage. AKBC Varun Embar, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Christos Faloutsos, Lise Getoor
2020	J	`jnl`	Estimating Aggregate Properties In Relational Networks With Unobserved Data. CoRR Varun Embar, Sriram Srinivasan, Lise Getoor
2020	J	`jnl`	Generating and Understanding Personalized Explanations in Hybrid Recommender Systems. ACM Trans. Interact. Intell. Syst. Pigi Kouki, James Schaffer, Jay Pujara, John O'Donovan, Lise Getoor
2020	J	`jnl`	HyperFair: A Soft Approach to Integrating Fairness Criteria. CoRR Charles Dickens, Rishika Singh, Lise Getoor
2020	J	`jnl`	Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields. IEEE Trans. Learn. Technol. Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
2020	A	`conf`	Joint Estimation of User And Publisher Credibility for Fake News Detection. CIKM Rajdipa Chowdhury, Sriram Srinivasan, Lise Getoor
2020	A*	`conf`	Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference. AAAI Sriram Srinivasan, Eriq Augustine, Lise Getoor
2020	J	`jnl`	Technical Perspective: Database Repair Meets Algorithmic Fairness. SIGMOD Rec. Lise Getoor
2020	J	`jnl`	User Profiling Using Hinge-loss Markov Random Fields. CoRR Golnoosh Farnadi, Lise Getoor, Marie-Francine Moens, Martine De Cock
2020	A	`conf`	VMI-PSL: Visual Model Inspector for Probabilistic Soft Logic. RecSys Aaron Rodden, Tarun Salh, Eriq Augustine, Lise Getoor
2019	J	`jnl`	A Collective, Probabilistic Approach to Schema Mapping Using Diverse Noisy Evidence. IEEE Trans. Knowl. Data Eng. Angelika Kimmig, Alex Memory, Renée J. Miller, Lise Getoor
2019	J	`jnl`	A Declarative Approach to Fairness in Relational Domains. IEEE Data Eng. Bull. Golnoosh Farnadi, Behrouz Babaki, Lise Getoor
2019	J	`jnl`	Collective entity resolution in multi-relational familial networks. Knowl. Inf. Syst. Pigi Kouki, Jay Pujara, Christopher Marcum, Laura M. Koehly, Lise Getoor
2019	A*	`conf`	Estimating Causal Effects of Tone in Online Debates. IJCAI Dhanya Sridhar, Lise Getoor
2019	J	`jnl`	Estimating Causal Effects of Tone in Online Debates. CoRR Dhanya Sridhar, Lise Getoor
2019	A	`conf`	Identifying Facet Mismatches In Search Via Micrographs. CIKM Sriram Srinivasan, Nikhil S. Rao, Karthik Subbian, Lise Getoor
2019	A*	`conf`	Lifted Hinge-Loss Markov Random Fields. AAAI Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor
2019	A	`conf`	Personalized explanations for hybrid recommender systems. IUI Pigi Kouki, James Schaffer, Jay Pujara, John O'Donovan, Lise Getoor
2019	—	`conf`	Responsible Data Science. IEEE BigData Lise Getoor
2019	—	`conf`	Responsible Data Science. SIGMOD Conference Lise Getoor
2019	—	`conf`	Responsible Data Science. WWW (Companion Volume) Lise Getoor
2019	J	`jnl`	SysML: The New Frontier of Machine Learning Systems. CoRR Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric S. Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Randall Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar
2019	A	`conf`	The Power of Relational Learning (Invited Talk). ICDT Lise Getoor
2019	—	`conf`	The Responsibility Challenge for Data. SIGMOD Conference H. V. Jagadish, Francesco Bonchi, Tina Eliassi-Rad, Lise Getoor, Krishna P. Gummadi, Julia Stoyanovich
2018	J	`jnl`	A Fairness-aware Hybrid Recommender System. CoRR Golnoosh Farnadi, Pigi Kouki, Spencer K. Thompson, Sriram Srinivasan, Lise Getoor
2018	B	`conf`	A Socio-linguistic Model for Cyberbullying Detection. ASONAM Sabina Tomkins, Lise Getoor, Yunfei Chen, Yi Zhang
2018	A*	`conf`	A Structured Approach to Understanding Recovery and Relapse in AA. WWW Yue Zhang, Arti Ramesh, Jennifer Golbeck, Dhanya Sridhar, Lise Getoor
2018	C	`conf`	Fairness in Relational Domains. AIES Golnoosh Farnadi, Behrouz Babaki, Lise Getoor
2018	—	`conf`	Fairness-Aware Relational Learning and Inference. AAAI Workshops Golnoosh Farnadi, Behrouz Babaki, Lise Getoor
2018	A*	`conf`	Scalable Probabilistic Causal Structure Discovery. IJCAI Dhanya Sridhar, Jay Pujara, Lise Getoor
2018	J	`jnl`	Scalable Structure Learning for Probabilistic Soft Logic. CoRR Varun Embar, Dhanya Sridhar, Golnoosh Farnadi, Lise Getoor
2018	A	`conf`	Scalable structured prediction for richly structured socio-behavioral data. RecSys Lise Getoor
2018	A	`conf`	Sustainability at scale: towards bridging the intention-behavior gap with sustainable recommendations. RecSys Sabina Tomkins, Steven Isley, Ben London, Lise Getoor
2018	A*	`conf`	The Impact of Environmental Stressors on Human Trafficking. ICDM Sabina Tomkins, Golnoosh Farnadi, Brian Amanatullah, Lise Getoor, Steven Minton
2018	—	`conf`	Topic Evolution Models for Long-Running MOOCs. WISE (2) Arti Ramesh, Lise Getoor
2017	A*	`conf`	A Collective, Probabilistic Approach to Schema Mapping. ICDE Angelika Kimmig, Alex Memory, Renée J. Miller, Lise Getoor
2017	J	`jnl`	A Collective, Probabilistic Approach to Schema Mapping: Appendix. CoRR Angelika Kimmig, Alex Memory, Renée J. Miller, Lise Getoor
2017	—	`ch.`	Collective Classification. Encyclopedia of Machine Learning and Data Mining Galileo Namata, Prithviraj Sen, Mustafa Bilgic, Lise Getoor
2017	A*	`conf`	Collective Entity Resolution in Familial Networks. ICDM Pigi Kouki, Jay Pujara, Christopher Marcum, Laura M. Koehly, Lise Getoor
2017	A*	`conf`	Disambiguating Energy Disaggregation: A Collective Probabilistic Approach. IJCAI Sabina Tomkins, Jay Pujara, Lise Getoor
2017	—	`ch.`	Entity Resolution. Encyclopedia of Machine Learning and Data Mining Indrajit Bhattacharya, Lise Getoor
2017	J	`jnl`	Forecasting rare disease outbreaks from open source indicators. Stat. Anal. Data Min. Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan
2017	—	`ch.`	Group Detection. Encyclopedia of Machine Learning and Data Mining Hossam Sharara, Lise Getoor
2017	J	`jnl`	Hinge-Loss Markov Random Fields and Probabilistic Soft Logic. J. Mach. Learn. Res. Stephen H. Bach, Matthias Broecheler, Bert Huang, Lise Getoor
2017	—	`ch.`	Link Mining and Link Discovery. Encyclopedia of Machine Learning and Data Mining Lise Getoor
2017	—	`ch.`	Link Prediction. Encyclopedia of Machine Learning and Data Mining Galileo Namata, Lise Getoor
2017	B	`conf`	Multi-relational influence models for online professional networks. WI Arti Ramesh, Mario Rodriguez, Lise Getoor
2017	A*	`conf`	Probabilistic Visitor Stitching on Cross-Device Web Logs. WWW Sungchul Kim, Nikhil Kini, Jay Pujara, Eunyee Koh, Lise Getoor
2017	J	`jnl`	Soft quantification in statistical relational learning. Mach. Learn. Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock
2017	A*	`conf`	Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short. EMNLP Jay Pujara, Eriq Augustine, Lise Getoor
2017	A*	`conf`	Statistical Relational Learning: Unifying AI & DB Perspectives on Structured Probabilistic Models. PODS Lise Getoor
2017	A	`conf`	User Preferences for Hybrid Explanations. RecSys Pigi Kouki, James Schaffer, Jay Pujara, John O'Donovan, Lise Getoor
2017	—	`conf`	Using Noisy Extractions to Discover Causal Knowledge. AKBC@NIPS Dhanya Sridhar, Jay Pujara, Lise Getoor
2017	J	`jnl`	Using Noisy Extractions to Discover Causal Knowledge. CoRR Dhanya Sridhar, Jay Pujara, Lise Getoor
2016	J	`jnl`	A probabilistic approach for collective similarity-based drug-drug interaction prediction. Bioinform. Dhanya Sridhar, Shobeir Fakhraei, Lise Getoor
2016	B	`conf`	ASONAM 2016 keynotes: Ideas and inventions. ASONAM Brian Uzzi, Lise Getoor, Evimaria Terzi, Lada A. Adamic
2016	B	`conf`	ASONAM 2016 panel: Social network analysis for social good. ASONAM V. S. Subrahmanian, Lada A. Adamic, Lise Getoor, Evimaria Terzi, Brian Uzzi, Lisa Singh
2016	J	`jnl`	Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks. CoRR Shobeir Fakhraei, Dhanya Sridhar, Jay Pujara, Lise Getoor
2016	J	`jnl`	Capturing Planned Protests from Open Source Indicators. AI Mag. Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan
2016	J	`jnl`	Collective Graph Identification. ACM Trans. Knowl. Discov. Data Galileo Mark S. Namata Jr., Ben London, Lise Getoor
2016	J	`jnl`	Generic Statistical Relational Entity Resolution in Knowledge Graphs. CoRR Jay Pujara, Lise Getoor
2016	B	`conf`	Predicting Post-Test Performance from Student Behavior: A High School MOOC Case Study. EDM Sabina Tomkins, Arti Ramesh, Lise Getoor
2016	—	`conf`	SourceSight: Enabling Effective Source Selection. SIGMOD Conference Theodoros Rekatsinas, Amol Deshpande, Xin Luna Dong, Lise Getoor, Divesh Srivastava
2016	J	`jnl`	Stability and Generalization in Structured Prediction. J. Mach. Learn. Res. Ben London, Bert Huang, Lise Getoor
2016	B	`conf`	Unsupervised models for predicting strategic relations between organizations. ASONAM Shachi H. Kumar, Jay Pujara, Lise Getoor, David Mares, Dipak Gupta, Ellen Riloff
2015	A	`conf`	Budgeted Online Collective Inference. UAI Jay Pujara, Ben London, Lise Getoor
2015	A*	`conf`	Collective Spammer Detection in Evolving Multi-Relational Social Networks. KDD Shobeir Fakhraei, James R. Foulds, Madhusudana V. S. Shashanka, Lise Getoor
2015	—	`ch.`	Data Analytics for Pharmaceutical Discoveries. Healthcare Data Analytics Shobeir Fakhraei, Eberechukwu Onukwugha, Lise Getoor
2015	A	`conf`	Finding Quality in Quantity: The Challenge of Discovering Valuable Sources for Integration. CIDR Theodoros Rekatsinas, Xin Luna Dong, Lise Getoor, Divesh Srivastava
2015	A*	`conf`	HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades. ICML Xinran He, Theodoros Rekatsinas, James R. Foulds, Lise Getoor, Yan Liu
2015	J	`jnl`	Hinge-Loss Markov Random Fields and Probabilistic Soft Logic. CoRR Stephen H. Bach, Matthias Broecheler, Bert Huang, Lise Getoor
2015	A	`conf`	HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems. RecSys Pigi Kouki, Shobeir Fakhraei, James R. Foulds, Magdalini Eirinaki, Lise Getoor
2015	—	`conf`	Joint Models of Disagreement and Stance in Online Debate. ACL (1) Dhanya Sridhar, James R. Foulds, Bert Huang, Lise Getoor, Marilyn A. Walker
2015	A*	`conf`	Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models. ICML James R. Foulds, Shachi H. Kumar, Lise Getoor
2015	J	`jnl`	Lifted graphical models: a survey. Mach. Learn. Angelika Kimmig, Lilyana Mihalkova, Lise Getoor
2015	J	`jnl`	Model-Based Forecasting of Significant Societal Events. IEEE Intell. Syst. Naren Ramakrishnan, Chang-Tien Lu, Madhav V. Marathe, Achla Marathe, Anil Vullikanti, Stephen G. Eubank, Scotland Leman, Michael J. Roan, John S. Brownstein, Kristen Maria Summers, Lise Getoor, Aravind Srinivasan, Tanzeem Choudhury, Dipak Gupta, David Mares
2015	A*	`conf`	Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs. ICML Stephen H. Bach, Bert Huang, Jordan L. Boyd-Graber, Lise Getoor
2015	A*	`conf`	Planned Protest Modeling in News and Social Media. AAAI Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan
2015	—	`conf`	Poster Abstract: Contextual Air Conditioning Disaggregation with Probabilistic Soft Logic. BuildSys Sabina Tomkins, Lise Getoor
2015	A*	`conf`	RELLY: Inferring Hypernym Relationships Between Relational Phrases. EMNLP Adam Grycner, Gerhard Weikum, Jay Pujara, James R. Foulds, Lise Getoor
2015	A	`conf`	SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources. SDM Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan
2015	B	`conf`	Statistical Relational Learning with Soft Quantifiers. ILP Golnoosh Farnadi, Stephen H. Bach, Marjon Blondeel, Marie-Francine Moens, Lise Getoor, Martine De Cock
2015	A*	`conf`	The Benefits of Learning with Strongly Convex Approximate Inference. ICML Ben London, Bert Huang, Lise Getoor
2015	A	`conf`	Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees. AISTATS Stephen H. Bach, Bert Huang, Lise Getoor
2015	J	`jnl`	Using Semantics and Statistics to Turn Data into Knowledge. AI Mag. Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen
2015	—	`conf`	Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums. ACL (1) Arti Ramesh, Shachi H. Kumar, James R. Foulds, Lise Getoor
2014	J	`jnl`	'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators. CoRR Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares
2014	A*	`conf`	'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. KDD Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares
2014	—	`ch.`	Collective Classification of Network Data. Data Classification: Algorithms and Applications Ben London, Lise Getoor
2014	—	`conf`	Discovering evolving political vocabulary in social media. BESC Aravindan Mahendiran, Wei Wang, Jaime Arredondo Sanchez Lira, Bert Huang, Lise Getoor, David Mares, Naren Ramakrishnan
2014	—	`conf`	Extending PSL with Fuzzy Quantifiers. StarAI@AAAI Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock
2014	A*	`conf`	Learning Latent Engagement Patterns of Students in Online Courses. AAAI Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
2014	J	`jnl`	Network-Based Drug-Target Interaction Prediction with Probabilistic Soft Logic. IEEE ACM Trans. Comput. Biol. Bioinform. Shobeir Fakhraei, Bert Huang, Louiqa Raschid, Lise Getoor
2014	A	`conf`	PAC-Bayesian Collective Stability. AISTATS Ben London, Bert Huang, Ben Taskar, Lise Getoor
2014	A*	`conf`	Subgraph pattern matching over uncertain graphs with identity linkage uncertainty. ICDE Walaa Eldin Moustafa, Angelika Kimmig, Amol Deshpande, Lise Getoor
2014	J	`jnl`	Topic Modeling for Wikipedia Link Disambiguation. ACM Trans. Inf. Syst. Bradley Skaggs, Lise Getoor
2014	B	`conf`	Uncovering hidden engagement patterns for predicting learner performance in MOOCs. L@S Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
2014	—	`conf`	Understanding MOOC Discussion Forums using Seeded LDA. BEA@ACL Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
2014	J	`jnl`	Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition. CoRR Mustafa Bilgic, Lise Getoor
2013	—	`conf`	A Flexible Framework for Probabilistic Models of Social Trust. SBP Bert Huang, Angelika Kimmig, Lise Getoor, Jennifer Golbeck
2013	J	`jnl`	A Hypergraph-Partitioned Vertex Programming Approach for Large-scale Consensus Optimization. CoRR Hui Miao, Xiangyang Liu, Bert Huang, Lise Getoor
2013	—	`conf`	A hypergraph-partitioned vertex programming approach for large-scale consensus optimization. IEEE BigData Hui Miao, Xiangyang Liu, Bert Huang, Lise Getoor
2013	—	`conf`	Collective Activity Detection Using Hinge-loss Markov Random Fields. CVPR Workshops Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, Larry S. Davis
2013	—	`conf`	Collective Stability in Structured Prediction: Generalization from One Example. ICML (3) Ben London, Bert Huang, Ben Taskar, Lise Getoor
2013	—	`conf`	Drug-target interaction prediction for drug repurposing with probabilistic similarity logic. BIOKDD Shobeir Fakhraei, Louiqa Raschid, Lise Getoor
2013	A*	`conf`	Entity resolution for big data. KDD Lise Getoor, Ashwin Machanavajjhala
2013	—	`conf`	GRDB: a system for declarative and interactive analysis of noisy information networks. SIGMOD Conference Walaa Eldin Moustafa, Hui Miao, Amol Deshpande, Lise Getoor
2013	J	`jnl`	Graph-based Generalization Bounds for Learning Binary Relations CoRR Ben London, Bert Huang, Lise Getoor
2013	A	`conf`	Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction. UAI Stephen H. Bach, Bert Huang, Ben London, Lise Getoor
2013	J	`jnl`	Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction. CoRR Stephen H. Bach, Bert Huang, Ben London, Lise Getoor
2013	—	`conf`	Knowledge Graph Identification. ISWC (1) Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen
2013	J	`jnl`	LA-LDA: A Limited Attention Topic Model for Social Recommendation CoRR Jeon-Hyung Kang, Kristina Lerman, Lise Getoor
2013	—	`conf`	LA-LDA: A Limited Attention Topic Model for Social Recommendation. SBP Jeon-Hyung Kang, Kristina Lerman, Lise Getoor
2013	—	`conf`	Large-Scale Knowledge Graph Identification Using PSL. AAAI Fall Symposia Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen
2013	J	`jnl`	Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss CoRR Ben London, Theodoros Rekatsinas, Bert Huang, Lise Getoor
2013	A*	`conf`	Network sampling. KDD Lise Getoor, Ashwin Machanavajjhala
2013	—	`conf`	Ontology-aware partitioning for knowledge graph identification. AKBC@CIKM Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen
2013	—	`conf`	Probabilistic Soft Logic: A Scalable Approach for Markov Random Fields over Continuous-Valued Variables - (Abstract of Keynote Talk). RuleML Lise Getoor
2013	J	`jnl`	Scalable Text and Link Analysis with Mixed-Topic Link Models CoRR Yaojia Zhu, Xiaoran Yan, Lise Getoor, Cristopher Moore
2013	A*	`conf`	Scalable text and link analysis with mixed-topic link models. KDD Yaojia Zhu, Xiaoran Yan, Lise Getoor, Cristopher Moore
2013	J	`jnl`	Subgraph Pattern Matching over Uncertain Graphs with Identity Linkage Uncertainty CoRR Walaa Eldin Moustafa, Angelika Kimmig, Amol Deshpande, Lise Getoor
2013	J	`jnl`	TACI: Taxonomy-Aware Catalog Integration. IEEE Trans. Knowl. Data Eng. Panagiotis Papadimitriou, Panayiotis Tsaparas, Ariel Fuxman, Lise Getoor
2013	J	`jnl`	Utility Elicitation as a Classification Problem CoRR Urszula Chajewska, Lise Getoor, Joseph Norman, Yuval Shahar
2012	J	`jnl`	Bisimulation-based Approximate Lifted Inference CoRR Prithviraj Sen, Amol Deshpande, Lise Getoor
2012	A*	`conf`	Ego-centric Graph Pattern Census. ICDE Walaa Eldin Moustafa, Amol Deshpande, Lise Getoor
2012	J	`jnl`	Entity Resolution: Theory, Practice & Open Challenges. Proc. VLDB Endow. Lise Getoor, Ashwin Machanavajjhala
2012	—	`conf`	Graph Summarization in Annotated Data Using Probabilistic Soft Logic. URSW Alex Memory, Angelika Kimmig, Stephen H. Bach, Louiqa Raschid, Lise Getoor
2012	—	`conf`	Local structure and determinism in probabilistic databases. SIGMOD Conference Theodoros Rekatsinas, Amol Deshpande, Lise Getoor
2012	J	`jnl`	Organizing User Search Histories. IEEE Trans. Knowl. Data Eng. Heasoo Hwang, Hady Wirawan Lauw, Lise Getoor, Alexandros Ntoulas
2012	—	`book`	Privacy in Social Networks Elena Zheleva, Evimaria Terzi, Lise Getoor
2012	J	`jnl`	Probabilistic Similarity Logic CoRR Matthias Bröcheler, Lilyana Mihalkova, Lise Getoor
2012	—	`conf`	Probabilistic Soft Logic for Trust Analysis in Social Networks. StarAI@UAI Bert Huang, Angelika Kimmig, Lise Getoor, Jennifer Golbeck
2012	—	`conf`	Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization. NIPS Stephen H. Bach, Matthias Broecheler, Lise Getoor, Dianne P. O'Leary
2012	—	`conf`	Stability vs. Diversity: Understanding the Dynamics of Actors in Time-Varying Affiliation Networks. SocialInformatics Hossam Sharara, Lisa Singh, Lise Getoor, Janet Mann
2011	J	`jnl`	A Method for the Detection of Meaningful and Reproducible Group Signatures from Gene Expression Profiles. J. Bioinform. Comput. Biol. Louis Licamele, Lise Getoor
2011	A	`conf`	A probabilistic approach for learning folksonomies from structured data. WSDM Anon Plangprasopchok, Kristina Lerman, Lise Getoor
2011	A*	`conf`	Active Surveying: A Probabilistic Approach for Identifying Key Opinion Leaders. IJCAI Hossam Sharara, Lise Getoor, Myra Norton
2011	A*	`conf`	Collective graph identification. KDD Galileo Namata, Stanley Kok, Lise Getoor
2011	—	`conf`	Declarative analysis of noisy information networks. ICDE Workshops Walaa Eldin Moustafa, Galileo Namata, Amol Deshpande, Lise Getoor
2011	A	`conf`	Differential Adaptive Diffusion: Understanding Diversity and Learning whom to Trust in Viral Marketing. ICWSM Hossam Sharara, William Rand, Lise Getoor
2011	J	`jnl`	Dynamic Processing Allocation in Video. IEEE Trans. Pattern Anal. Mach. Intell. Daozheng Chen, Mustafa Bilgic, Lise Getoor, David W. Jacobs
2011	A	`conf`	Exploiting statistical and relational information on the web and in social media. WSDM Lise Getoor, Lilyana Mihalkova
2011	—	`conf`	G-PARE: A visual analytic tool for comparative analysis of uncertain graphs. IEEE VAST Hossam Sharara, Awalin Sopan, Galileo Namata, Lise Getoor, Lisa Singh
2011	—	`conf`	Improving Classifier Performance by Autonomously Collecting Background Knowledge from the Web. ICMLA (1) Steven Minton, Matthew Michelson, Kane See, Sofus A. Macskassy, Bora Gazen, Lise Getoor
2011	—	`conf`	Learning statistical models from relational data. SIGMOD Conference Lise Getoor, Lilyana Mihalkova
2011	J	`jnl`	Lifted Graphical Models: A Survey CoRR Lilyana Mihalkova, Lise Getoor
2011	A	`conf`	Materializing multi-relational databases from the web using taxonomic queries. WSDM Matthew Michelson, Sofus A. Macskassy, Steven Minton, Lise Getoor
2011	—	`ch.`	Privacy in Social Networks: A Survey. Social Network Data Analytics Elena Zheleva, Lise Getoor
2011	A*	`ed.`	Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011 ICML Lise Getoor, Tobias Scheffer
2011	J	`jnl`	Query-time Entity Resolution CoRR Indrajit Bhattacharya, Lise Getoor
2011	J	`jnl`	Understanding actor loyalty to event-based groups in affiliation networks. Soc. Netw. Anal. Min. Hossam Sharara, Lisa Singh, Lise Getoor, Janet Mann
2011	—	`conf`	Using classifier cascades for scalable e-mail classification. CEAS Jay Pujara, Hal Daumé III, Lise Getoor
2011	J	`jnl`	Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition. J. Artif. Intell. Res. Mustafa Bilgic, Lise Getoor
2010	—	`conf`	A Method for the Detection of Meaningful and Reproducible Group Signatures from Gene Expression Profiles. BIONETICS Louis Licamele, Lise Getoor
2010	J	`jnl`	A Probabilistic Approach for Learning Folksonomies from Structured Data CoRR Anon Plangprasopchok, Kristina Lerman, Lise Getoor
2010	—	`ch.`	A Survey of Link Mining Tasks for Analyzing Noisy and Incomplete Networks. Link Mining Galileo Mark S. Namata Jr., Hossam Sharara, Lise Getoor
2010	J	`jnl`	AI Theory and Practice: A Discussion on Hard Challenges and Opportunities Ahead. AI Mag. Eric Horvitz, Lise Getoor, Carlos Guestrin, James A. Hendler, Joseph A. Konstan, Devika Subramanian, Michael P. Wellman, Henry A. Kautz
2010	A*	`conf`	Active Inference for Collective Classification. AAAI Mustafa Bilgic, Lise Getoor
2010	A*	`conf`	Active Learning for Networked Data. ICML Mustafa Bilgic, Lilyana Mihalkova, Lise Getoor
2010	—	`ch.`	Collective Classification. Encyclopedia of Machine Learning Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor
2010	—	`conf`	Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning. NIPS Matthias Broecheler, Lise Getoor
2010	—	`conf`	Constructing Folksonomies by Integrating Structured Metadata with Relational Clustering. Collaboratively-Built Knowledge Sources and AI Anon Plangprasopchok, Kristina Lerman, Lise Getoor
2010	A*	`conf`	Constructing folksonomies by integrating structured metadata. WWW Anon Plangprasopchok, Kristina Lerman, Lise Getoor
2010	J	`jnl`	Eighth workshop on mining and learning with graphs. SIGKDD Explor. Ulf Brefeld, Lise Getoor, Sofus A. Macskassy
2010	—	`ch.`	Entity Resolution. Encyclopedia of Machine Learning Indrajit Bhattacharya, Lise Getoor
2010	B	`conf`	Graph Identification. IDA Lise Getoor
2010	—	`ch.`	Group Detection. Encyclopedia of Machine Learning Hossam Sharara, Lise Getoor
2010	J	`jnl`	Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata CoRR Anon Plangprasopchok, Kristina Lerman, Lise Getoor
2010	A*	`conf`	Growing a tree in the forest: constructing folksonomies by integrating structured metadata. KDD Anon Plangprasopchok, Kristina Lerman, Lise Getoor
2010	J	`jnl`	Identifying graphs from noisy and incomplete data. SIGKDD Explor. Galileo Mark S. Namata Jr., Lise Getoor
2010	J	`jnl`	Indirect two-sided relative ranking: a robust similarity measure for gene expression data. BMC Bioinform. Louis Licamele, Lise Getoor
2010	J	`jnl`	Integrating Structured Metadata with Relational Affinity Propagation CoRR Anon Plangprasopchok, Kristina Lerman, Lise Getoor
2010	—	`conf`	Integrating Structured Metadata with Relational Affinity Propagation. StarAI@AAAI Anon Plangprasopchok, Kristina Lerman, Lise Getoor
2010	—	`conf`	Learning Algorithms for Link Prediction Based on Chance Constraints. ECML/PKDD (1) Janardhan Rao Doppa, Jun Yu, Prasad Tadepalli, Lise Getoor
2010	—	`ch.`	Link Mining and Link Discovery. Encyclopedia of Machine Learning Lise Getoor
2010	—	`ch.`	Link Prediction. Encyclopedia of Machine Learning Galileo Namata, Lise Getoor
2010	A	`conf`	Probabilistic Similarity Logic. UAI Matthias Bröcheler, Lilyana Mihalkova, Lise Getoor
2010	—	`ed.`	Proceedings of the Eighth Workshop on Mining and Learning with Graphs, MLG '10, Washington, D.C., USA, July 24-25, 2010 MLG@KDD Ulf Brefeld, Lise Getoor, Sofus A. Macskassy
2010	J	`jnl`	Read-Once Functions and Query Evaluation in Probabilistic Databases. Proc. VLDB Endow. Prithviraj Sen, Amol Deshpande, Lise Getoor
2009	—	`conf`	A Pipeline Approach to Graph Identification. MLG/SRL@ILP Galileo Mark S. Namata Jr., Lise Getoor
2009	A	`conf`	Bisimulation-based Approximate Lifted Inference. UAI Prithviraj Sen, Amol Deshpande, Lise Getoor
2009	A*	`conf`	Co-evolution of social and affiliation networks. KDD Elena Zheleva, Hossam Sharara, Lise Getoor
2009	A	`conf`	Distinguishing Knowledge vs Social Capital in Social Media with Roles and Context. ICWSM Vladimir Barash, Marc A. Smith, Lise Getoor, Howard T. Welser
2009	A	`conf`	FutureRank: Ranking Scientific Articles by Predicting their Future PageRank. SDM Hassan Sayyadi, Lise Getoor
2009	—	`conf`	Identifying graphs from noisy and incomplete data. KDD Workshop on Knowledge Discovery from Uncertain Data Galileo Mark S. Namata Jr., Lise Getoor
2009	J	`jnl`	Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications. Proc. VLDB Endow. Karl Schnaitter, Neoklis Polyzotis, Lise Getoor
2009	A	`conf`	On Maximum Coverage in the Streaming Model & Application to Multi-topic Blog-Watch. SDM Barna Saha, Lise Getoor
2009	—	`conf`	Opinion Graphs for Polarity and Discourse Classification. Graph-based Methods for Natural Language Processing Swapna Somasundaran, Galileo Namata, Lise Getoor, Janyce Wiebe
2009	J	`jnl`	PrDB: managing and exploiting rich correlations in probabilistic databases. VLDB J. Prithviraj Sen, Amol Deshpande, Lise Getoor
2009	—	`conf`	Probabilistic Similarity Logic. MLG/SRL@ILP Matthias Broecheler, Lise Getoor
2009	—	`ed.`	Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, Paris, France, June 28, 2009 KDD Workshop on Knowledge Discovery from Uncertain Data Jian Pei, Lise Getoor, Ander de Keijzer
2009	J	`jnl`	Reflect and correct: A misclassification prediction approach to active inference. ACM Trans. Knowl. Discov. Data Mustafa Bilgic, Lise Getoor
2009	J	`jnl`	Summary of the first ACM SIGKDD workshop on knowledge discovery from uncertain data (U'09). SIGKDD Explor. Jian Pei, Lise Getoor, Ander de Keijzer
2009	A*	`conf`	Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification. EMNLP Swapna Somasundaran, Galileo Namata, Janyce Wiebe, Lise Getoor
2009	B	`conf`	The Dynamics of Actor Loyalty to Groups in Affiliation Networks. ASONAM Hossam Sharara, Lisa Singh, Lise Getoor, Janet Mann
2009	A*	`conf`	To join or not to join: the illusion of privacy in social networks with mixed public and private user profiles. WWW Elena Zheleva, Lise Getoor
2008	J	`jnl`	Collective Classification in Network Data. AI Mag. Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, Tina Eliassi-Rad
2008	J	`jnl`	Cost-sensitive learning with conditional Markov networks. Data Min. Knowl. Discov. Prithviraj Sen, Lise Getoor
2008	A*	`conf`	Effective label acquisition for collective classification. KDD Mustafa Bilgic, Lise Getoor
2008	J	`jnl`	Exploiting shared correlations in probabilistic databases. Proc. VLDB Endow. Prithviraj Sen, Amol Deshpande, Lise Getoor
2008	J	`jnl`	Interactive Entity Resolution in Relational Data: A Visual Analytic Tool and Its Evaluation. IEEE Trans. Vis. Comput. Graph. Hyunmo Kang, Lise Getoor, Ben Shneiderman, Mustafa Bilgic, Louis Licamele
2008	J	`jnl`	Learning Structured Bayesian Networks: Combining Abstraction Hierarchies and Tree-Structured Conditional Probability Tables. Comput. Intell. Marie desJardins, Priyang Rathod, Lise Getoor
2008	—	`conf`	Leveraging social context for searching social media. SSM Marc A. Smith, Vladimir Barash, Lise Getoor, Hady Wirawan Lauw
2008	J	`jnl`	Preface. Ann. Math. Artif. Intell. Manfred Jaeger, Lise Getoor, Kristian Kersting
2008	—	`ed.`	Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04. - 20.04.2007 Probabilistic, Logical and Relational Learning - A Further Synthesis Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen H. Muggleton
2008	J	`jnl`	Structured machine learning: the next ten years. Mach. Learn. Thomas G. Dietterich, Pedro M. Domingos, Lise Getoor, Stephen H. Muggleton, Prasad Tadepalli
2008	J	`jnl`	Trusting spam reporters: A reporter-based reputation system for email filtering. ACM Trans. Inf. Syst. Elena Zheleva, Aleksander Kolcz, Lise Getoor
2008	—	`conf`	Using Friendship Ties and Family Circles for Link Prediction. SNAKDD Elena Zheleva, Lise Getoor, Jennifer Golbeck, Ugur Kuter
2007	—	`conf`	07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis. Probabilistic, Logical and Relational Learning - A Further Synthesis Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen H. Muggleton
2007	A	`conf`	A dual-view approach to interactive network visualization. CIKM Galileo Namata, Brian Staats, Lise Getoor, Ben Shneiderman
2007	—	`conf`	C-GROUP: A Visual Analytic Tool for Pairwise Analysis of Dynamic Group Membership. IEEE VAST Hyunmo Kang, Lise Getoor, Lisa Singh
2007	—	`conf`	Characterizing RNA Secondary-Structure Features and Their Effects on Splice-Site Prediction. ICDM Workshops Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur
2007	J	`jnl`	Collective entity resolution in relational data. ACM Trans. Knowl. Discov. Data Indrajit Bhattacharya, Lise Getoor
2007	—	`conf`	Combining Collective Classification and Link Prediction. ICDM Workshops Mustafa Bilgic, Galileo Namata, Lise Getoor
2007	—	`conf`	Combining Tuple and Attribute Uncertainty in Probabilistic Databases. MUD Lise Getoor
2007	J	`jnl`	Features generated for computational splice-site prediction correspond to functional elements. BMC Bioinform. Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur, Stephen M. Mount
2007	C	`conf`	GeoDDupe: A Novel Interface for Interactive Entity Resolution in Geospatial Data. IV Hyunmo Kang, Vivek Sehgal, Lise Getoor
2007	—	`conf`	Graph Identification. MLG Lise Getoor
2007	J	`jnl`	Increasing the Predictive Power of Affiliation Networks. IEEE Data Eng. Bull. Lisa Singh, Lise Getoor
2007	—	`conf`	Leveraging data and structure in ontology integration. SIGMOD Conference Octavian Udrea, Lise Getoor, Renée J. Miller
2007	A*	`conf`	Online Collective Entity Resolution. AAAI Indrajit Bhattacharya, Lise Getoor
2007	—	`conf`	Preserving the Privacy of Sensitive Relationships in Graph Data. PinKDD Elena Zheleva, Lise Getoor
2007	J	`jnl`	Probabilistic interval XML. ACM Trans. Comput. Log. Edward Hung, Lise Getoor, V. S. Subrahmanian
2007	J	`jnl`	Query-time Entity Resolution. J. Artif. Intell. Res. Indrajit Bhattacharya, Lise Getoor
2007	A*	`conf`	Relationship Identification for Social Network Discovery. AAAI Christopher P. Diehl, Galileo Namata, Lise Getoor
2007	—	`conf`	Representing Tuple and Attribute Uncertainty in Probabilistic Databases. ICDM Workshops Prithviraj Sen, Amol Deshpande, Lise Getoor
2007	J	`jnl`	SplicePort - An interactive splice-site analysis tool. Nucleic Acids Res. Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur, Stephen M. Mount
2007	A*	`conf`	VOILA: Efficient Feature-value Acquisition for Classification. AAAI Mustafa Bilgic, Lise Getoor
2007	C	`conf`	Visual Mining of Multi-Modal Social Networks at Different Abstraction Levels. IV Lisa Singh, Mitchell Beard, Lise Getoor, M. Brian Blake
2007	J	`jnl`	Visual analysis of dynamic group membership in temporal social networks. SIGKDD Explor. Hyunmo Kang, Lise Getoor, Lisa Singh
2006	—	`conf`	A Feature Generation Algorithm for Sequences with Application to Splice-Site Prediction. PKDD Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur
2006	A	`conf`	A Latent Dirichlet Model for Unsupervised Entity Resolution. SDM Indrajit Bhattacharya, Lise Getoor
2006	J	`jnl`	An Introduction to Probabilistic Graphical Models for Relational Data. IEEE Data Eng. Bull. Lise Getoor
2006	J	`jnl`	Collective Entity Resolution In Relational Data. IEEE Data Eng. Bull. Indrajit Bhattacharya, Lise Getoor
2006	A*	`conf`	Cost-sensitive learning with conditional Markov networks. ICML Prithviraj Sen, Lise Getoor
2006	—	`conf`	D-Dupe: An Interactive Tool for Entity Resolution in Social Networks. IEEE VAST Mustafa Bilgic, Louis Licamele, Lise Getoor, Ben Shneiderman
2006	—	`conf`	Entity resolution in geospatial data integration. GIS Vivek Sehgal, Lise Getoor, Peter Viechnicki
2006	—	`conf`	Inferring Organizational Titles in Online Communication. SNA@ICML Galileo Mark S. Namata Jr., Lise Getoor, Christopher P. Diehl
2006	A*	`conf`	Is there a grand challenge or X-prize for data mining? KDD Gregory Piatetsky-Shapiro, Robert Grossman, Chabane Djeraba, Ronen Feldman, Lise Getoor, Mohammed Javeed Zaki
2006	A	`conf`	Name Reference Resolution in Organizational Email Archives. SDM Christopher P. Diehl, Lise Getoor, Galileo Namata
2006	J	`jnl`	PRL: A probabilistic relational language. Mach. Learn. Lise Getoor, John Grant
2006	—	`ed.`	Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January - 4. February 2005 Probabilistic, Logical and Relational Learning Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen H. Muggleton
2006	A*	`conf`	Query-time entity resolution. KDD Indrajit Bhattacharya, Lise Getoor, Louis Licamele
2006	A*	`conf`	Social Capital in Friendship-Event Networks. ICDM Louis Licamele, Lise Getoor
2006	J	`jnl`	What are the grand challenges for data mining?: KDD-2006 panel report. SIGKDD Explor. Gregory Piatetsky-Shapiro, Chabane Djeraba, Lise Getoor, Robert Grossman, Ronen Feldman, Mohammed Javeed Zaki
2005	—	`conf`	05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis. Probabilistic, Logical and Relational Learning Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen H. Muggleton
2005	—	`conf`	05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis. Probabilistic, Logical and Relational Learning Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen H. Muggleton
2005	—	`conf`	Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence. ECML Marie desJardins, Priyang Rathod, Lise Getoor
2005	—	`conf`	Capital and benefit in social networks. LinkKDD Louis Licamele, Mustafa Bilgic, Lise Getoor, Nick Roussopoulos
2005	A	`conf`	D-Dupe: An Interactive Tool for Entity Resolution in Social Networks. GD Mustafa Bilgic, Louis Licamele, Lise Getoor, Ben Shneiderman
2005	J	`jnl`	Introduction to the special issue on link mining. SIGKDD Explor. Lise Getoor, Christopher P. Diehl
2005	J	`jnl`	Link mining: a survey. SIGKDD Explor. Lise Getoor, Christopher P. Diehl
2005	A*	`conf`	Pruning Social Networks Using Structural Properties and Descriptive Attributes. ICDM Lisa Singh, Lise Getoor, Louis Licamele
2005	B	`conf`	Tutorial on Statistical Relational Learning. ILP Lise Getoor
2004	J	`jnl`	A workshop report: mining for and from the Semantic Web at KDD 2004. SIGKDD Explor. Andreas Hotho, York Sure, Lise Getoor
2004	—	`conf`	Iterative record linkage for cleaning and integration. DMKD Indrajit Bhattacharya, Lise Getoor
2004	J	`jnl`	Understanding tuberculosis epidemiology using structured statistical models. Artif. Intell. Medicine Lise Getoor, Jeanne T. Rhee, Daphne Koller, Peter Small
2004	A*	`conf`	Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models. ACL Indrajit Bhattacharya, Lise Getoor, Yoshua Bengio
2004	—	`conf`	Using the Structure of Web Sites for Automatic Segmentation of Tables. SIGMOD Conference Kristina Lerman, Lise Getoor, Steven Minton, Craig A. Knoblock
2003	J	`jnl`	Learning Structure From Statistical Models. IEEE Data Eng. Bull. Lise Getoor
2003	J	`jnl`	Link mining: a new data mining challenge. SIGKDD Explor. Lise Getoor
2003	A*	`conf`	Link-based Classification. ICML Qing Lu, Lise Getoor
2003	A*	`conf`	PXML: A Probabilistic Semistructured Data Model and Algebra. ICDE Edward Hung, Lise Getoor, V. S. Subrahmanian
2003	A	`conf`	Probabilistic Interval XML. ICDT Edward Hung, Lise Getoor, V. S. Subrahmanian
2003	A*	`ed.`	Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24 - 27, 2003 KDD Lise Getoor, Ted E. Senator, Pedro M. Domingos, Christos Faloutsos
2002	J	`jnl`	Learning Probabilistic Models of Link Structure. J. Mach. Learn. Res. Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar
2001	J	`jnl`	AAAI 2000 Workshop Reports. AI Mag. Yves Lespérance, Gerd Wagner, William P. Birmingham, Kurt Bollacker, Alexander Nareyek, J. Paul Walser, David W. Aha, Timothy W. Finin, Benjamin N. Grosof, Nathalie Japkowicz, Robert Holte, Lise Getoor, Carla P. Gomes, Holger H. Hoos, Alan C. Schultz, Miroslav Kubat, Tom M. Mitchell, Jörg Denzinger, Yolanda Gil, Karen L. Myers, Claudio Bettini, Angelo Montanari
2001	A*	`conf`	Learning Probabilistic Models of Relational Structure. ICML Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar
2001	—	`—`	Learning statistical models from relational data. Lise Getoor
2001	—	`conf`	Selectivity Estimation using Probabilistic Models. SIGMOD Conference Lise Getoor, Benjamin Taskar, Daphne Koller
2000	—	`conf`	Learning Probabilistic Relational Models. SARA Lise Getoor
2000	—	`conf`	Using Feature Hierarchies in Bayesian Network Learning. SARA Marie desJardins, Lise Getoor, Daphne Koller
1999	A	`conf`	Efficient learning using constrained sufficient statistics. AISTATS Nir Friedman, Lise Getoor
1999	A*	`conf`	Learning Probabilistic Relational Models. IJCAI Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer
1998	A	`conf`	Utility Elicitation as a Classification Problem. UAI Urszula Chajewska, Lise Getoor, Joseph Norman, Yuval Shahar
1997	—	`conf`	Effective Redundant Constraints for Online Scheduling. AAAI/IAAI Lise Getoor, Greger Ottosson, Markus P. J. Fromherz, Björn Carlson
1995	A*	`conf`	Scope and Abstraction: Two Criteria for Localized Planning. IJCAI Amy L. Lansky, Lise Getoor