Publications

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C
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)
Sridhar, D., Getoor, L. & Walker, M. Collective Stance Classification of Posts in Online Debate Forums. ACL Joint Workshop on Social Dynamics and Personal Attributes in Social Media (2014).PDF icon sridhar-aclws14.pdf (190.8 KB)
Sridhar, D., Foulds, J., Huang, B., Walker, M. & Getoor, L. Collective classification of stance and disagreement in online debate forums. Bay Area Machine Learning Symposium (BayLearn) (2014).
Bilgic, M., Namata, G. Mark & Getoor, L. Combining Collective Classification and Link Prediction. Workshop on Mining Graphs and Complex Structures at the IEEE International Conference on Data Mining (ICDM-2007) (2007).PDF icon mgcs07.pdf (105.13 KB)
Udrea, O. & Getoor, L. Combining statistical and logical inference for ontology alignment. Workshop on Semantic Web for Collaborative Knowledge Acquisition at the International Joint Conference on Artificial Intelligence (2007).
Polymeropoulos, M. et al. Common effect of antipsychotics on the biosynthesis and regulation of fatty acids and cholesterol supports a key role of lipid homeostasis in schizophrenia. Schizophrenia Research (2009).
Broecheler, M. & Getoor, L. Computing marginal distributions over continuous Markov networks for statistical relational learning. Advances in Neural Information Processing Systems (NIPS) (2010).PDF icon broecheler-nips10.pdf (382.51 KB)
Sen, P. & Getoor, L. Cost-Sensitive Learning with Conditional Markov Networks. Data Mining and Knowledge Discovery, Special Issue on Utility Based Data Mining 17, 136–163 (2008).PDF icon draft.pdf (424.09 KB)
Sen, P. & Getoor, L. Cost-Sensitive Learning with Conditional Markov Networks. SIAM Data Mining Workshop on Link Analysis, Counterterrorism and Security (2006).PDF icon sensiam_lacs06.pdf (137.37 KB)
Sen, P. & Getoor, L. Cost-Sensitive Learning with Conditional Markov Networks. International Conference on Machine Learning (2006).PDF icon senicml06.pdf (118.33 KB)
D
Bilgic, M., Licamele, L., Getoor, L. & Shneiderman, B. D-Dupe: An Interactive Tool for Entity Resolution in Social Networks. Visual Analytics Science and Technology (VAST) (2006).
Bilgic, M., Licamele, L., Getoor, L. & Shneiderman, B. D-Dupe: An Interactive Tool for Entity Resolution in Social Networks. International Symposium on Graph Drawing (Healy, P. & Nikolov, N. S.) 3843, 505–507 (Springer, 2005).PDF icon ddupe.pdf (224.93 KB)
Fakhraei, S., Onukwugha, E. & Getoor, L. Data Analytics for Pharmaceutical Discoveries. Healthcare Data Analytics 1, 1--25 (CRC Press, 2015).PDF icon fakhraei-book15.pdf (234.2 KB)
Bach, S. H., Broecheler, M., Kok, S. & Getoor, L. Decision-Driven Models with Probabilistic Soft Logic. NIPS Workshop on Predictive Models in Personalized Medicine (2010).PDF icon bach-pmpm10.pdf (246.79 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)
Bhattacharya, I. & Getoor, L. Deduplication and Group Detection using Links. ACM SIGKDD Workshop on Link Analysis and Group Detection (LinkKDD) (2004).PDF icon bhattacharyakdd04-whskp.pdf (231.67 KB)
Tomkins, S., Getoor, L., Chen, Y. & Zhang, Y. Detecting Cyber-bullying from Sparse Data and Inconsistent Labels. Learning with Limited Labeled Data (LLD) NIPS Workshop (2017).PDF icon tomkins-NIPSLLD17.pdf (286.95 KB)
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)
Tomkins, S., Pujara, J. & Getoor, L. Disambiguating Energy Disaggregation: A Collective Probabilistic Approach. International Joint Conference on Artifi cial Intelligence (2017).PDF icon tomkins-ijcai17.pdf (373.28 KB)
Barash, V., Smith, M., Getoor, L. & Welser, H. Distinguishing Knowledge vs Social Capital in Social Media with Roles and Context. International Conference on Weblogs and Social Media (2009).PDF icon barash-icwsm09.pdf (171.16 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)
Namata, G. Mark, Staats, B., Getoor, L. & Shneiderman, B. A Dual-View Approach to Interactive Network Visualization. ACM Conference on Information and Knowledge Management (2007).PDF icon cikm0671-namata.pdf (376.54 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)
Sharara, H., Singh, L., Getoor, L. & Mann, J. The Dynamics of Actor Loyalty to Groups in Affiliation Networks. International Conference on Advances in Social Networks Analysis and Mining (2009).PDF icon sharara_asonam09.pdf (446.61 KB)
E
Bilgic, M. & Getoor, L. Effective Label Acquisition for Collective Classification. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 43–51 (2008).PDF icon bilgic-kdd08.pdf (758.14 KB)
Friedman, N. & Getoor, L. Efficient Learning Using Constrained Sufficient Statistics. Uncertainty99 (1999).
Chen, D., Bilgic, M., Getoor, L. & Jacobs, D. Efficient Resource-constrained Retrospective Analysis of Long Video Sequences. NIPS Workshop on Adaptive Sensing, Active Learning and Experimental Design: Theory, Methods and Applications (2009).PDF icon chen-nips09-wkshp.pdf (383.38 KB)
Getoor, L., Ottosson, G., Fromherz, M. & Carlson, B. Effictive Redundant Constraints for Online Scheduling. Proceedings of the Fourteenth national Conference on Artificial Intelligence (1997).
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)
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)
Sen, P. & Getoor, L. Empirical Comparison of Approximate Inference Algorithms for Networked Data. ICML Workshop on Statistical Relational Learning (SRL) (2006).PDF icon sensrl06.pdf (225.32 KB)
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).
Getoor, L. & Machanavajjhala, A. Entity Resolution in Big Data. KDD (2013).PDF icon getoor-kdd13.pdf (7.16 MB)
Kouki, P., Marcum, C., Koehly, L. & Getoor, L. Entity Resolution in Familial Networks. MLG (2016).PDF icon kouki-mlg16.pdf (633.08 KB)
Sehgal, V., Getoor, L. & Viechnicki, P. Entity Resolution in Geospatial Data Integration. ACM GIS (2006).
Bhattacharya, I. & Getoor, L. Entity Resolution in Social Networks. International Sunbelt Social Network Conference (Sunbelt XXVI) (2006).
Bhattacharya, I. & Getoor, L. Entity Resolutions in Graphs. Mining Graph Data 1, 311--344 (Wiley, 2006).PDF icon bhattacharya-book06.pdf (482.5 KB)
Embar, V., Srinivasan, S. & Getoor, L. Estimating Aggregate Properties In Relational Networks With Unobserved Data. AAAI Workshop on Statistical Relational Artificial Intelligence (2020).PDF icon embar-starai20.pdf (257.9 KB)
Sridhar, D., Springer, A., Hollis, V., Whittaker, S. & Getoor, L. Estimating Causal Effects of Exercise from Mood Logging Data. ICML Workshop on CausalML (2018).PDF icon sridhar-causalml18.pdf (333.69 KB)
Sridhar, D. & Getoor, L. Estimating Causal Effects of Tone in Online Debates. IJCAI (2019).PDF icon sridhar-ijcai19.pdf (220.49 KB)
Zhao, B., Sen, P. & Getoor, L. Event Classification and Relationship Labeling in Affiliation Networks. ICML Workshop on Statistical Network Analysis (SNA) (2006).PDF icon zhaosna06.pdf (360.25 KB)
Sen, P., Deshpande, A. & Getoor, L. Exploiting Shared Correlations in Probabilistic Databases. International Conference on Very Large Data Bases (2008).PDF icon sen-vldb08.pdf (232.29 KB)
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)
Farnadi, G., Bach, S. H., Moens, M. - F., Getoor, L. & De Cock, M. Extending PSL with Fuzzy Quantifiers. International Workshop on Statistical Relational Artificial Intelligence (StaRAI) (2014).PDF icon farnadi-starai14.pdf (196.15 KB)

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