Archived Publications (Latest: https://linqs.github.io/linqs-website/publications/)

Export 304 results:
Author Title [ Year(Asc)]
Filters: Author is Lise Getoor  [Clear All Filters]
2013
S. Fakhraei, Raschid, L., and Getoor, L., Drug-Target Interaction Prediction for Drug Repurposing with Probabilistic Similarity Logic, in KDD Workshop on BIOKDD, 2013.PDF icon fakhraei-biokdd13.pdf (669.27 KB)
B. Huang, London, B., Taskar, B., and Getoor, L., Empirical Analysis of Collective Stability, in ICML Workshop on SLG, 2013.PDF icon huang-slg13.pdf (237.81 KB)
L. Getoor and Machanavajjhala, A., Entity Resolution in Big Data, in KDD, 2013.PDF icon getoor-kdd13.pdf (7.16 MB)
W. Moustafa, Miao, H., Deshpande, A., and Getoor, L., GrDB: A System for Declarative and Interactive Analysis of Noisy Information Networks, in SIGMOD, 2013.PDF icon moustafa-sigmod13.pdf (1.1 MB)
B. London, Huang, B., and Getoor, L., Graph-based Generalization Bounds for Learning Binary Relations. University of Maryland College Park, 2013.PDF icon br_risk_bounds.pdf (304.54 KB)
S. H. Bach, Huang, B., London, B., and Getoor, L., Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction, in Uncertainty in Artificial Intelligence, 2013.PDF icon bach-uai13.pdf (379.45 KB)
H. Miao, Liu, X., Huang, B., and Getoor, L., A Hypergraph-Partitioned Vertex Programming Approach for Large-scale Consensus Optimization, in 2013 IEEE International Conference on Big Data, 2013.PDF icon miao-bd13.pdf (307.51 KB)
J. Pujara, Miao, H., and Getoor, L., Joint Judgments with a Budget: Strategies for Reducing the Cost of Inference, in ICML Workshop on Machine Learning with Test-Time Budgets, 2013.PDF icon pujara_wtbudg13.pdf (221.26 KB)
J. Pujara, Miao, H., Getoor, L., and Cohen, W., Knowledge Graph Identification, in International Semantic Web Conference (ISWC), 2013.PDF icon pujara_iswc13.pdf (508.7 KB)
J. Kang, Lerman, K., and Getoor, L., LA-LDA: A Limited Attention Topic Model for Social Recommendation, in The 2013 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP 2013), 2013.PDF icon kang-sbp13.pdf (622.52 KB)
J. Pujara, Miao, H., Getoor, L., and Cohen, W., Large-Scale Knowledge Graph Identification using PSL, in ICML Workshop on Structured Learning (SLG), 2013.PDF icon pujara_slg13.pdf (277.63 KB)
J. Pujara, Miao, H., Getoor, L., and Cohen, W., Large-Scale Knowledge Graph Identification using PSL, in AAAI Fall Symposium on Semantics for Big Data, 2013.PDF icon pujara_s4bd13.pdf (306.96 KB)
S. H. Bach, Huang, B., and Getoor, L., Large-margin Structured Learning for Link Ranking, in NIPS Workshop on Frontiers of Network Analysis: Methods, Models, and Applications, 2013.PDF icon bach-fna13.pdf (210.09 KB)
S. H. Bach, Huang, B., and Getoor, L., Learning Latent Groups with Hinge-loss Markov Random Fields, in ICML Workshop on Inferning: Interactions between Inference and Learning, 2013.PDF icon bach-inferning13.pdf (348.79 KB)
A. Ramesh, Goldwasser, D., Huang, B., III, H. Daume, and Getoor, L., Modeling Learner Engagement in MOOCs using Probabilistic Soft Logic, in NIPS Workshop on Data Driven Education, 2013.PDF icon ramesh-nipsws13.pdf (153.92 KB)
B. London, Rekatsinas, T., Huang, B., and Getoor, L., Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss. University of Maryland College Park, 2013.PDF icon mrwtd.pdf (460.45 KB)
J. Pujara, Miao, H., Getoor, L., and Cohen, W., Ontology-Aware Partitioning for Knowledge Graph Identification, in CIKM Workshop on Automatic Knowledge Base Construction, 2013.PDF icon pujara_akbc13.pdf (370.62 KB)
B. London, Huang, B., Taskar, B., and Getoor, L., PAC-Bayes Generalization Bounds for Randomized Structured Prediction, in NIP Workshop on Perturbation, Optimization and Statistics, 2013.PDF icon london-nips13ws.pdf (205.57 KB)
2012
A. Kimmig, Bach, S., Broecheler, M., Huang, B., and Getoor, L., A Short Introduction to Probabilistic Soft Logic, in NIPS Workshop on PPFA, 2012.PDF icon kimming-ppfa12.pdf (164.6 KB)
W. Eldin Moustafa, Deshpande, A., and Getoor, L., Ego-centric Graph Pattern Census, in International Conference on Data Engineering (ICDE), 2012.PDF icon moustafaicde.pdf (2.27 MB)
L. Getoor and Machanavajjhala, A., Entity Resolution: Theory, Practice & Open Challenges, in International Conference on Very Large Data Bases, 2012.PDF icon p2018_lisegetoor_vldb2012.pdf (89.45 KB)
L. Getoor and Machanavajjhala, A., Entity Resolution: Theory, Practice, and Open Challenges, in AAAI Conference on Artificial Intelligence, 2012.
L. Getoor and Machanavajjhala, A., Entity Resolution for Social Network Analysis and Mining, in IEEE ACM International Conference on Advances in Social Networks Analysis and Mining, 2012.
H. Sharara, Singh, L., and Getoor, L., Finding Prominent Actors in Dynamic Affiliation Networks, Human Journal, 2012.PDF icon 105-204-1-SM.pdf (757.7 KB)
A. Memory, Kimmig, A., Bach, S. H., Raschid, L., and Getoor, L., Graph Summarization in Annotated Data Using Probabilistic Soft Logic, in Proceedings of the International Workshop on Uncertainty Reasoning for the Semantic Web (URSW), 2012.PDF icon mrc_iswc12_ws.pdf (411.71 KB)
B. London, Huang, B., and Getoor, L., Improved Generalization Bounds for Large-scale Structured Prediction, in NIPS Workshop on Algorithmic and Statistical Approaches for Large Social Networks, 2012.PDF icon london-nips12ws.pdf (213.95 KB)
T. Rekatsinas, Deshpande, A., and Getoor, L., Local Structure and Determinism in Probabilistic Databases, in SIGMOD, 2012.PDF icon rekatsinas-sigmod12.pdf (490.28 KB)
B. London, Rekatsinas, T., Huang, B., and Getoor, L., Multi-relational Weighted Tensor Decomposition, in NIPS Workshop on SL, 2012.PDF icon london-sl12.pdf (326.3 KB)
E. Zheleva, Terzi, E., and Getoor, L., Privacy in Social Networks, vol. 4. Morgan & Claypool Publishers, 2012.
B. Huang, Kimmig, A., Getoor, L., and Golbeck, J., Probabilistic Soft Logic for Trust Analysis in Social Networks, in UAI Workshop on StaRAI , 2012.PDF icon huang-starai12.pdf (241.96 KB)
G. Namata, London, B., Getoor, L., and Huang, B., Query-driven Active Surveying for Collective Classification, in ICML Workshop on MLG, 2012.PDF icon namata-mlg12.pdf (257.49 KB)
S. Bach, Broecheler, M., Getoor, L., and O'Leary, D., Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization, in NeuRIPS, 2012.PDF icon bach-nips12.pdf (274.58 KB)
H. Bert, Stephen, B., Eric, N., Jay, P., and Getoor, L., Social Group Modeling with Probabilistic Soft Logic, in NeuRIPS Workshop on SNSMA, 2012.PDF icon huang-snsma12.pdf (1.02 MB)
S. Hossam, Lisa, S., Getoor, L., and Janet, M., Stability vs. Diversity: Understanding the Dynamics of Actors in Time-varying Affiliation Networks, in ICSI, 2012.PDF icon sharara-icsi12.pdf (307.98 KB)
P. Panagiotis, Panayiotis, T., Ariel, F., and Getoor, L., TACI: Taxonomy-Aware Catalog Integration, TKDE, vol. 25, 2012.PDF icon papadimitriou-tkde12.pdf (2.93 MB)
R. Arti, Jaebong, Y., Shitian, S., Getoor, L., and Jihie, K., User Role Prediction in Online Discussion Forums using Probabilistic Soft Logic, in NeuRIPS Workshop on PE, 2012.PDF icon ramesh-pe11.pdf (40.65 KB)
2011
C. Daozheng, Mustafa, B., Getoor, L., David, J., Lilyana, M., and Tom, Y., Active Inference for Retrieval in Camera Networks, in IEEE Workshop on Person-Oriented Vision, 2011.PDF icon chen-wpov11.pdf (1.53 MB)
S. Hossam, Getoor, L., and Myra, N., Active Surveying: A Probabilistic Approach for Identifying Key Opinion Leaders, in IJCAI, 2011.PDF icon sharara-ijcai11.pdf (349.39 KB)
G. Namata, Kok, S., and Getoor, L., Collective Graph Identification, in KDD, 2011.PDF icon namata-kdd11.pdf (185.7 KB)
W. Moustafa, Namata, G., Deshpande, A., and Getoor, L., Declarative Analysis of Noisy Information Networks, in ICDE Workshop on GDM, 2011.PDF icon moustafa-gdm11.pdf (1.55 MB)
H. Sharara, Rand, W., and Getoor, L., Differential Adaptive Diffusion: Understanding Diversity and Learning whom to Trust in Viral Marketing, in ICWSM, 2011.PDF icon sharara-aaai11.pdf (646.6 KB)
C. Daozheng, Mustafa, B., Getoor, L., and David, J., Dynamic Processing Allocation in Video, PAMI, vol. 33, pp. 2174-2187, 2011.PDF icon chen-pami11.pdf (1.16 MB)
L. Getoor and Mihalkova, L., Exploiting Statistical and Relational Information on the Web and in Social Media. 2011.PDF icon getoor-sdm11.pdf (88.88 KB)
H. Sharara, Sopan, A., Namata, G. Mark, Getoor, L., and Singh, L., G-PARE: A Visual Analytic Tool for Comparative Analysis of Uncertain Graphs, in IEEE Conference on Visual Analytics Science and Technology (VAST), 2011.PDF icon sharara-vast11.pdf (1.64 MB)
S. Minton, Michelson, M., See, K., Macskassy, S., Gazen, B. C., and Getoor, L., Improving Classifier Performance by Autonomously Collecting Background Knowledge from the Web, in Tenth International Conference on Machine Learning and Applications, 2011.PDF icon minton-icmla2011.pdf (733.09 KB)
L. Mihalkova, Moustafa, W. Eldin, and Getoor, L., Learning to Predict Web Collaborations, in WSDM Workshop on User Modeling for Web Applications, 2011.PDF icon mihalkova-wikiCollabs.pdf (353.9 KB)
L. Mihalkova and Getoor, L., Lifted Graphical Models: A Survey. 2011.PDF icon 1107.4966v2.pdf (446.54 KB)
H. Sharara, Halgin, D., Getoor, L., and Borgatti, S., Multi-dimensional Trajectory Analysis for Career Histories, in International Sunbelt Social Networks Conference (Sunbelt XXXI), 2011.
E. Zheleva and Getoor, L., Privacy in Social Networks: A Survey, vol. 1. Springer, 2011, pp. 247–276.PDF icon zheleva-book11.pdf (791.3 KB)
A. Plangprasopchok, Lerman, K., and Getoor, L., A Probabilistic Approach for Learning Folksonomies from Structured Data, in Fourth ACM International Conference on Web Search and Data Mining (WSDM), 2011.

Pages