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Namata, G., Kok, S. & Getoor, L. Collective Graph Identification. KDD (2011).PDF icon namata-kdd11.pdf (185.7 KB)
Moustafa, W., Namata, G., Deshpande, A. & Getoor, L. Declarative Analysis of Noisy Information Networks. ICDE Workshop on GDM (2011).PDF icon moustafa-gdm11.pdf (1.55 MB)
Sharara, H., Rand, W. & Getoor, L. Differential Adaptive Diffusion: Understanding Diversity and Learning whom to Trust in Viral Marketing. ICWSM (2011).PDF icon sharara-aaai11.pdf (646.6 KB)
Daozheng, C., Mustafa, B., Getoor, L. & David, J. Dynamic Processing Allocation in Video. PAMI 33, 2174-2187 (2011).PDF icon chen-pami11.pdf (1.16 MB)
Getoor, L. & Mihalkova, L. Exploiting Statistical and Relational Information on the Web and in Social Media. (2011).PDF icon getoor-sdm11.pdf (88.88 KB)
Sharara, H., Sopan, A., Namata, G. Mark, Getoor, L. & Singh, L. G-PARE: A Visual Analytic Tool for Comparative Analysis of Uncertain Graphs. IEEE Conference on Visual Analytics Science and Technology (VAST) (2011).PDF icon sharara-vast11.pdf (1.64 MB)
Minton, S. et al. Improving Classifier Performance by Autonomously Collecting Background Knowledge from the Web. Tenth International Conference on Machine Learning and Applications (2011).PDF icon minton-icmla2011.pdf (733.09 KB)
Mihalkova, L., Moustafa, W. Eldin & Getoor, L. Learning to Predict Web Collaborations. WSDM Workshop on User Modeling for Web Applications (2011).PDF icon mihalkova-wikiCollabs.pdf (353.9 KB)
Mihalkova, L. & Getoor, L. Lifted Graphical Models: A Survey. (2011).PDF icon 1107.4966v2.pdf (446.54 KB)
Sharara, H., Halgin, D., Getoor, L. & Borgatti, S. Multi-dimensional Trajectory Analysis for Career Histories. International Sunbelt Social Networks Conference (Sunbelt XXXI) (2011).
Zheleva, E. & Getoor, L. Privacy in Social Networks: A Survey. Social Network Data Analytics 1, 247–276 (Springer, 2011).PDF icon zheleva-book11.pdf (791.3 KB)
Plangprasopchok, A., Lerman, K. & Getoor, L. A Probabilistic Approach for Learning Folksonomies from Structured Data. Fourth ACM International Conference on Web Search and Data Mining (WSDM) (2011).
Getoor, L. & Scheffer, T. Proceedings of the 28th International Conference on Machine Learning. Proceedings of the 28th International Conference on Machine Learning (2011).
Pujara, J., London, B. & Getoor, L. Reducing Label Cost by Combining Feature Labels and Crowdsourcing. ICML Workshop on Combining Learning Strategies to Reduce Label Cost (2011).PDF icon clsicml_pujara_london.pdf (253.29 KB)
Sharara, H., Singh, L., Getoor, L. & Mann, J. Understanding Actor Loyalty to Event-Based Groups in Affiliation Networks. Journal of Advances in Social Networks Analysis and Mining 1, 115–126 (2011).
Pujara, J., III, H. Daume & Getoor, L. Using Classifier Cascades for Scalable E-Mail Classification. Collaboration, Electronic Messaging, Anti-Abuse and Spam Conference (ACM, 2011).PDF icon pujara_ceas2011_camera.pdf (308.42 KB)
Bilgic, M. & Getoor, L. Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition. Journal of Artificial Intelligence Research (JAIR) 41, 69–95 (2011).PDF icon bilgic11a.pdf (1.64 MB)
Licamele, L. & Getoor, L. A method for the detection of meaningful and reproducible group signatures from gene expression profiles. Journal of Bioinformatics and Computational Biology (2011).
Kimmig, A., Bach, S., Broecheler, M., Huang, B. & Getoor, L. A Short Introduction to Probabilistic Soft Logic. NIPS Workshop on PPFA (2012).PDF icon kimming-ppfa12.pdf (164.6 KB)
Moustafa, W. Eldin, Deshpande, A. & Getoor, L. Ego-centric Graph Pattern Census. International Conference on Data Engineering (ICDE) (2012).PDF icon moustafaicde.pdf (2.27 MB)
Getoor, L. & Machanavajjhala, A. Entity Resolution: Theory, Practice & Open Challenges. International Conference on Very Large Data Bases (2012).PDF icon p2018_lisegetoor_vldb2012.pdf (89.45 KB)
Getoor, L. & Machanavajjhala, A. Entity Resolution: Theory, Practice, and Open Challenges. AAAI Conference on Artificial Intelligence (2012).
Getoor, L. & Machanavajjhala, A. Entity Resolution for Social Network Analysis and Mining. IEEE ACM International Conference on Advances in Social Networks Analysis and Mining (IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2012).
Sharara, H., Singh, L. & Getoor, L. Finding Prominent Actors in Dynamic Affiliation Networks. Human Journal (2012).PDF icon 105-204-1-SM.pdf (757.7 KB)
Memory, A., Kimmig, A., Bach, S. H., Raschid, L. & Getoor, L. Graph Summarization in Annotated Data Using Probabilistic Soft Logic. Proceedings of the International Workshop on Uncertainty Reasoning for the Semantic Web (URSW) (2012).PDF icon mrc_iswc12_ws.pdf (411.71 KB)
London, B., Huang, B. & Getoor, L. Improved Generalization Bounds for Large-scale Structured Prediction. NIPS Workshop on Algorithmic and Statistical Approaches for Large Social Networks (2012).PDF icon london-nips12ws.pdf (213.95 KB)
Rekatsinas, T., Deshpande, A. & Getoor, L. Local Structure and Determinism in Probabilistic Databases. SIGMOD (2012).PDF icon rekatsinas-sigmod12.pdf (490.28 KB)
London, B., Rekatsinas, T., Huang, B. & Getoor, L. Multi-relational Weighted Tensor Decomposition. NIPS Workshop on SL (2012).PDF icon london-sl12.pdf (326.3 KB)
Zheleva, E., Terzi, E. & Getoor, L. Privacy in Social Networks. Synthesis Lectures on Data Mining and Knowledge Discovery 4, (Morgan & Claypool Publishers, 2012).
Huang, B., Kimmig, A., Getoor, L. & Golbeck, J. Probabilistic Soft Logic for Trust Analysis in Social Networks. UAI Workshop on StaRAI (2012).PDF icon huang-starai12.pdf (241.96 KB)
Namata, G., London, B., Getoor, L. & Huang, B. Query-driven Active Surveying for Collective Classification. ICML Workshop on MLG (2012).PDF icon namata-mlg12.pdf (257.49 KB)
Bach, S., Broecheler, M., Getoor, L. & O'Leary, D. Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization. NeuRIPS (2012).PDF icon bach-nips12.pdf (274.58 KB)
Bert, H., Stephen, B., Eric, N., Jay, P. & Getoor, L. Social Group Modeling with Probabilistic Soft Logic. NeuRIPS Workshop on SNSMA (2012).PDF icon huang-snsma12.pdf (1.02 MB)
Hossam, S., Lisa, S., Getoor, L. & Janet, M. Stability vs. Diversity: Understanding the Dynamics of Actors in Time-varying Affiliation Networks. ICSI (2012).PDF icon sharara-icsi12.pdf (307.98 KB)
Panagiotis, P., Panayiotis, T., Ariel, F. & Getoor, L. TACI: Taxonomy-Aware Catalog Integration. TKDE 25, (2012).PDF icon papadimitriou-tkde12.pdf (2.93 MB)
Arti, R., Jaebong, Y., Shitian, S., Getoor, L. & Jihie, K. User Role Prediction in Online Discussion Forums using Probabilistic Soft Logic. NeuRIPS Workshop on PE (2012).PDF icon ramesh-pe11.pdf (40.65 KB)
Huang, B., Kimmig, A., Getoor, L. & Golbeck, J. A Flexible Framework for Probabilistic Models of Social Trust. SBP (2013).PDF icon huang-sbp13.pdf (247.2 KB)
London, B. et al. Collective Activity Detection using Hinge-loss Markov Random Fields. CVPR Workshop on SPTLE (2013).PDF icon london-sptle13.pdf (705.87 KB)
London, B. & Getoor, L. Collective Classification of Network Data. Data Classification: Algorithms and Applications 1, 399--416 (CRC Press, 2013).PDF icon london-book13.pdf (394.37 KB)
Fakhraei, S., Huang, B. & Getoor, L. Collective Inference and Multi-Relational Learning for Drug–Target Interaction Prediction. NIPS Workshop on MLCB (2013).PDF icon fakhraei-mlcb13.pdf (243.86 KB)
London, B., Huang, B., Taskar, B. & Getoor, L. Collective Stability in Structured Prediction: Generalization from One Example. ICML (2013).PDF icon london-icml13.pdf (373.82 KB)
Fakhraei, S., Raschid, L. & Getoor, L. Drug-Target Interaction Prediction for Drug Repurposing with Probabilistic Similarity Logic. KDD Workshop on BIOKDD (ACM, 2013).PDF icon fakhraei-biokdd13.pdf (669.27 KB)
Huang, B., London, B., Taskar, B. & Getoor, L. Empirical Analysis of Collective Stability. ICML Workshop on SLG (2013).PDF icon huang-slg13.pdf (237.81 KB)
Getoor, L. & Machanavajjhala, A. Entity Resolution in Big Data. KDD (2013).PDF icon getoor-kdd13.pdf (7.16 MB)
Moustafa, W., Miao, H., Deshpande, A. & Getoor, L. GrDB: A System for Declarative and Interactive Analysis of Noisy Information Networks. SIGMOD (2013).PDF icon moustafa-sigmod13.pdf (1.1 MB)
London, B., Huang, B. & Getoor, L. Graph-based Generalization Bounds for Learning Binary Relations. (2013).PDF icon br_risk_bounds.pdf (304.54 KB)
Bach, S. H., Huang, B., London, B. & Getoor, L. Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction. Uncertainty in Artificial Intelligence (2013).PDF icon bach-uai13.pdf (379.45 KB)
Miao, H., Liu, X., Huang, B. & Getoor, L. A Hypergraph-Partitioned Vertex Programming Approach for Large-scale Consensus Optimization. 2013 IEEE International Conference on Big Data (2013).PDF icon miao-bd13.pdf (307.51 KB)
Pujara, J., Miao, H. & Getoor, L. Joint Judgments with a Budget: Strategies for Reducing the Cost of Inference. ICML Workshop on Machine Learning with Test-Time Budgets (2013).PDF icon pujara_wtbudg13.pdf (221.26 KB)
Pujara, J., Miao, H., Getoor, L. & Cohen, W. Knowledge Graph Identification. International Semantic Web Conference (ISWC) (2013).PDF icon pujara_iswc13.pdf (508.7 KB)