Publications

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G
A. Grycner, Weikum, G., Pujara, J., Foulds, J., and Getoor, L., RELLY: Inferring Hypernym Relationships Between Relational Phrases, in Conference on Empirical Methods in Natural Language Processing, 2015.PDF icon agrycner-emnlp15.pdf (234.86 KB)
A. Grycner, Weikum, G., Pujara, J., Foulds, J., and Getoor, L., A Unified Probabilistic Approach for Semantic Clustering of Relational Phrases, in NeurIPS, 2014.
L. Getoor and Machanavajjhala, A., Entity Resolution in Big Data, in KDD, 2013.PDF icon getoor-kdd13.pdf (7.16 MB)
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.
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 Mihalkova, L., Exploiting Statistical and Relational Information on the Web and in Social Media. 2011.PDF icon getoor-sdm11.pdf (88.88 KB)
L. Getoor and Scheffer, T., Proceedings of the 28th International Conference on Machine Learning, in Proceedings of the 28th International Conference on Machine Learning, 2011.
L. Getoor and Taskar, B., Introduction to Statistical Relational Learning. The MIT Press, 2007.
L. Getoor, Friedman, N., Koller, D., Pfeffer, A., and Taskar, B., Probabilistic Relational Models, 1st ed., vol. 1. MIT Press, 2007, p. 129--174.PDF icon getoor-book07.pdf (648.15 KB)
L. Getoor, An Introduction to Probabilistic Graphical Models for Relational Data, Data Engineering Bulletin, vol. 29, 2006.
L. Getoor and Grant, J., PRL: A Logical Approach to Probabilistic Relational Models, Machine Learning Journal, vol. 62, 2006.PDF icon getoor-mlj06.pdf (685.04 KB)
L. Getoor and Diehl, C., Link Mining: A Survey, SigKDD Explorations Special Issue on Link Mining, vol. 7, 2005.
L. Getoor, Link-based Classification, 1st ed., vol. 1. Springer-Verlag, 2005, p. 189--207.PDF icon getoor-book05.pdf (273.43 KB)
L. Getoor, Rhee, J., Koller, D., and Small, P., Understanding Tuberculosis Epidemiology Using Probabilistic Relational Models, AI in Medicine Journal, vol. 30, pp. 233-256, 2004.
L. Getoor, Link Mining: A New Data Mining Challenge, SIGKDD Explorations, volume, vol. 5, p. 85- -89, 2003.
L. Getoor, Structure Discovery Using Statistical Relational Learning, Data Engineering Bulletin, vol. 26, p. 11- -18, 2003.
L. Getoor, Friedman, N., Koller, D., and Taskar, B., Learning Probabilistic Models of Link Structure, Journal of Machine Learning Research, vol. 3, p. 679- -707, 2002.PDF icon jmlr02.pdf (502.22 KB)
L. Getoor, Friedman, N., and Koller, D., Learning Structured Statistical Models from Relational Data, Electronic Transactions on Artificial Intelligence, vol. 6, 2002.
L. Getoor, Friedman, N., Koller, D., and Taskar, B., Learning Probabilistic Models of Relational Structure, in Proceedings of International Conference on Machine Learning (ICML), 2001.PDF icon icml01.pdf (157.91 KB)
L. Getoor, Friedman, N., Koller, D., and Pfeffer, A., Learning Probabilistic Relational Models, 1st ed., vol. 1. Springer-Verlag, 2001, p. 307--335.
L. Getoor, Learning Statistical Models from Relational Data, Stanford, 2001.PDF icon getoor-thesis.pdf (3.39 MB)
L. Getoor, Multi-relational Data Mining Using Probabilistic Models, in Multi-Relational Data Mining Workshop, 2001.PDF icon mrdm.pdf (109.57 KB)
L. Getoor, Segal, E., Taskar, B., and Koller, D., Probabilistic Models of Text and Link Structure for Hypertext Classification, in IJCAI Workshop on Text Learning: Beyond Supervision, 2001.PDF icon ijcai01-ws.pdf (127.03 KB)
L. Getoor, Koller, D., and Taskar, B., Selectivity estimation using probabilistic relational models, in Proceedings of ACM-SIGMOD 2001 International Conference on Management of Data, 2001.PDF icon sigmod01.pdf (471.72 KB)
L. Getoor, Koller, D., and Friedman, N., From Instances to Classes in Probabilistic Relational Models, in Proceedings of the ICML Workshop on Attribute-Value and Relational Learning: Crossing the Boundaries, 2000.
L. Getoor, Koller, D., Taskar, B., and Friedman, N., Learning Probabilistic Relational Models with Structural Uncertainty, in Proceedings of the AAAI Workshop on Learning Statistical Models from Relational Data, 2000.
L. Getoor and Sahami, M., Using Probabilistic Relational Models for Collaborative Filtering, in Working Notes of the KDD Workshop on Web Usage Analysis and User Profiling, 1999.
L. Getoor, Ottosson, G., Fromherz, M., and Carlson, B., Effictive Redundant Constraints for Online Scheduling, in Proceedings of the Fourteenth national Conference on Artificial Intelligence, 1997.
L. Getoor and Fromherz, M., Online Scheduling for Reprographic Machines, in Working notes AAAI Workshop on Online Search, 1997.
L. Getoor, Koller, D., and Friedman, N., From Instances to Classes in Probabilistic Relational Models, in Proceedings of the ICML Workshop on Attribute-Value and Relational Learning: Crossing the Boundaries, 2000.
L. Getoor, Friedman, N., Koller, D., and Pfeffer, A., Learning Probabilistic Relational Models, in Relational Data Mining, 2001.PDF icon lprm-ch.pdf (376 KB)
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N. Friedman and Getoor, L., Efficient Learning Using Constrained Sufficient Statistics, in Uncertainty99, 1999.
N. Friedman, Getoor, L., Koller, D., and Pfeffer, A., Learning Probabilistic Relational Models, in International Joint Conference on Arti cial Intelligence, 1999.PDF icon icjai99.pdf (156.94 KB)
J. Foulds, Kumar, S., and Getoor, L., Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models, in International Conference on Machine Learning (ICML), 2015.PDF icon Foulds2015LatentTopicNetworks.pdf (382.53 KB)
G. Farnadi, Bach, S. H., Moens, M. - F., Getoor, L., and De Cock, M., Extending PSL with Fuzzy Quantifiers, in International Workshop on Statistical Relational Artificial Intelligence (StaRAI), 2014.PDF icon farnadi-starai14.pdf (196.15 KB)
G. Farnadi, Bach, S. H., Moens, M. - F., Getoor, L., and De Cock, M., Soft quantification in statistical relational learning, Machine Learning Journal, 2017.PDF icon farnadi-mlj17.pdf (1.24 MB)
G. Farnadi, Bach, S. H., Blondeel, M., Moens, M. - F., Getoor, L., and De Cock, M., Statistical Relational Learning with Soft Quantifiers, in International Conference on Inductive Logic Programming (ILP), 2015.PDF icon farnadi-ilp15.pdf (578.43 KB)
G. Farnadi, Babaki, B., and Getoor, L., Fairness-aware Relational Learning and Inference, in AAAI Workshop on Declarative Learning Based Programming (DeLBP), 2018.PDF icon farnadi-delbp2018.pdf (169.37 KB)
G. Farnadi, Babaki, B., and Getoor, L., Fairness in Relational Domains, in Artificial Intelligence, Ethics, and Society (AIES), 2018.PDF icon farnadi_aies2018.pdf (418.24 KB)
G. Farnadi, Kouki, P., Thompson, S. K., Srinivasan, S., and Getoor, L., A Fairness-aware Hybrid Recommender System, in RecSys Workshop on Responsible Recommendation (FATREC), 2018.PDF icon farnadi-fatrec18.pdf (474.04 KB)
G. Farnadi, Babaki, B., and Getoor, L., A Declarative Approach to Fairness in Relational Domains, IEEE Data Engineering Bulletin, vol. 42, no. 3, p. 36--48, 2019.PDF icon farnadi-de19.pdf (365.14 KB)
S. Fakhraei, Huang, B., Raschid, L., and Getoor, L., Network-Based Drug-Target Interaction Prediction with Probabilistic Soft Logic, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2014.PDF icon fakhraei-tcbb2014_accepted.pdf (3.97 MB)
S. Fakhraei, Huang, B., and Getoor, L., Collective Inference and Multi-Relational Learning for Drug–Target Interaction Prediction, in NIPS Workshop on MLCB, 2013.PDF icon fakhraei-mlcb13.pdf (243.86 KB)
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)
S. Fakhraei, Foulds, J., Shashanka, M., and Getoor, L., Collective Spammer Detection in Evolving Multi-Relational Social Networks, in KDD, 2015.PDF icon fakhraei-kdd2015.pdf (573.89 KB)
S. Fakhraei, Onukwugha, E., and Getoor, L., Data Analytics for Pharmaceutical Discoveries, 1st ed., vol. 1. CRC Press, 2015, p. 1--25.PDF icon fakhraei-book15.pdf (234.2 KB)
S. Fakhraei, Dhanya, S., Pujara, J., and Getoor, L., Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks, in KDD, 2016.

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