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

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F
R. Islamaj, Getoor, L., and W. Wilbur, J., A Feature Generation Algorithm for Sequences with Application to Splice Site Prediction, in International Workshop on Feature Selection for Data Mining (FSDM), Bethesda, Maryland, 2006.
R. Islamaj, Getoor, L., and W. Wilbur, J., Feature Generation Algorithm: an Application to Splice Site Prediction, in Knowledge Discovery in Databases: PKDD 2006, Berlin, Germany, 2006, vol. 4213, pp. 553-560.PDF icon rezarta-pkdd.pdf (163.92 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)
E
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)
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)
P. Sen, Deshpande, A., and Getoor, L., Exploiting Shared Correlations in Probabilistic Databases, in International Conference on Very Large Data Bases, 2008.PDF icon sen-vldb08.pdf (232.29 KB)
B. Zhao, Sen, P., and Getoor, L., Event Classification and Relationship Labeling in Affiliation Networks, in ICML Workshop on Statistical Network Analysis (SNA), 2006.PDF icon zhaosna06.pdf (360.25 KB)
D. Sridhar and Getoor, L., Estimating Causal Effects of Tone in Online Debates, in International Joint Conference on Artificial Intelligence (IJCAI), 2019.PDF icon sridhar-ijcai19.pdf (220.49 KB)
D. Sridhar, Springer, A., Hollis, V., Whittaker, S., and Getoor, L., Estimating Causal Effects of Exercise from Mood Logging Data, in ICML Workshop on Causal Machine Learning (CausalML), 2018.PDF icon sridhar-causalml18.pdf (333.69 KB)
V. Embar, Srinivasan, S., and Getoor, L., Estimating Aggregate Properties In Relational Networks With Unobserved Data, in AAAI Workshop on Statistical Relational Artificial Intelligence (StarAI), 2020.PDF icon embar-starai20.pdf (257.9 KB)
I. Bhattacharya and Getoor, L., Entity Resolutions in Graphs, 1st ed., vol. 1. Wiley, 2006, p. 311--344.PDF icon bhattacharya-book06.pdf (482.5 KB)
I. Bhattacharya and Getoor, L., Entity Resolution in Social Networks, in International Sunbelt Social Network Conference (Sunbelt XXVI), 2006.
V. Sehgal, Getoor, L., and Viechnicki, P., Entity Resolution in Geospatial Data Integration, in ACM GIS, 2006.
P. Kouki, Marcum, C., Koehly, L., and Getoor, L., Entity Resolution in Familial Networks, in MLG, 2016.PDF icon kouki-mlg16.pdf (633.08 KB)
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, and Open Challenges, in AAAI Conference on Artificial Intelligence, 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)
P. Sen and Getoor, L., Empirical Comparison of Approximate Inference Algorithms for Networked Data, in ICML Workshop on Statistical Relational Learning (SRL), 2006.PDF icon sensrl06.pdf (225.32 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)
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, Ottosson, G., Fromherz, M., and Carlson, B., Effictive Redundant Constraints for Online Scheduling, in Proceedings of the Fourteenth national Conference on Artificial Intelligence, 1997.
D. Chen, Bilgic, M., Getoor, L., and Jacobs, D., Efficient Resource-constrained Retrospective Analysis of Long Video Sequences, in NIPS Workshop on Adaptive Sensing, Active Learning and Experimental Design: Theory, Methods and Applications, 2009.PDF icon chen-nips09-wkshp.pdf (383.38 KB)
N. Friedman and Getoor, L., Efficient Learning Using Constrained Sufficient Statistics, in Uncertainty99, 1999.
M. Bilgic and Getoor, L., Effective Label Acquisition for Collective Classification, in ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008, pp. 43–51.PDF icon bilgic-kdd08.pdf (758.14 KB)
D
H. Sharara, Singh, L., Getoor, L., and Mann, J., The Dynamics of Actor Loyalty to Groups in Affiliation Networks, in International Conference on Advances in Social Networks Analysis and Mining, 2009.PDF icon sharara_asonam09.pdf (446.61 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)
G. Mark Namata, Staats, B., Getoor, L., and Shneiderman, B., A Dual-View Approach to Interactive Network Visualization, in ACM Conference on Information and Knowledge Management, 2007.PDF icon cikm0671-namata.pdf (376.54 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)
V. Barash, Smith, M., Getoor, L., and Welser, H., Distinguishing Knowledge vs Social Capital in Social Media with Roles and Context, in International Conference on Weblogs and Social Media, 2009.PDF icon barash-icwsm09.pdf (171.16 KB)
S. Tomkins, Pujara, J., and Getoor, L., Disambiguating Energy Disaggregation: A Collective Probabilistic Approach, in International Joint Conference on Artifi cial Intelligence, 2017.PDF icon tomkins-ijcai17.pdf (373.28 KB)
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)
S. Tomkins, Getoor, L., Chen, Y., and Zhang, Y., Detecting Cyber-bullying from Sparse Data and Inconsistent Labels, in Learning with Limited Labeled Data (LLD) NIPS Workshop, 2017.PDF icon tomkins-NIPSLLD17.pdf (286.95 KB)
I. Bhattacharya and Getoor, L., Deduplication and Group Detection using Links, in ACM SIGKDD Workshop on Link Analysis and Group Detection (LinkKDD), 2004.PDF icon bhattacharyakdd04-whskp.pdf (231.67 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)
S. H. Bach, Broecheler, M., Kok, S., and Getoor, L., Decision-Driven Models with Probabilistic Soft Logic, in NIPS Workshop on Predictive Models in Personalized Medicine, 2010.PDF icon bach-pmpm10.pdf (246.79 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)
M. Bilgic, Licamele, L., Getoor, L., and Shneiderman, B., D-Dupe: An Interactive Tool for Entity Resolution in Social Networks, in Visual Analytics Science and Technology (VAST), Baltimore, 2006.
M. Bilgic, Licamele, L., Getoor, L., and Shneiderman, B., D-Dupe: An Interactive Tool for Entity Resolution in Social Networks, in International Symposium on Graph Drawing, 2005, vol. 3843, pp. 505–507.PDF icon ddupe.pdf (224.93 KB)
C
P. Sen and Getoor, L., Cost-Sensitive Learning with Conditional Markov Networks, Data Mining and Knowledge Discovery, Special Issue on Utility Based Data Mining, vol. 17, pp. 136–163, 2008.PDF icon draft.pdf (424.09 KB)
P. Sen and Getoor, L., Cost-Sensitive Learning with Conditional Markov Networks, in SIAM Data Mining Workshop on Link Analysis, Counterterrorism and Security, 2006.PDF icon sensiam_lacs06.pdf (137.37 KB)
P. Sen and Getoor, L., Cost-Sensitive Learning with Conditional Markov Networks, in International Conference on Machine Learning, 2006.PDF icon senicml06.pdf (118.33 KB)
V. Embar, Sisman, B., Wei, H., Dong, X. Luna, Faloutsos, C., and Getoor, L., Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage, in Automated Knowledge Base Construction (AKBC), 2020.PDF icon embar-akbc20.pdf (499.49 KB)
M. Broecheler and Getoor, L., Computing marginal distributions over continuous Markov networks for statistical relational learning, in Advances in Neural Information Processing Systems (NIPS), 2010.PDF icon broecheler-nips10.pdf (382.51 KB)
M. Polymeropoulos, Licamele, L., Volpi, S., Mack, K., Mitkus, S., Carstea, E., Getoor, L., and Lavedan, C., 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.
O. Udrea and Getoor, L., Combining statistical and logical inference for ontology alignment, in Workshop on Semantic Web for Collaborative Knowledge Acquisition at the International Joint Conference on Artificial Intelligence, 2007.
M. Bilgic, Namata, G. Mark, and Getoor, L., Combining Collective Classification and Link Prediction, in 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)
D. Sridhar, Foulds, J., Huang, B., Walker, M., and Getoor, L., Collective classification of stance and disagreement in online debate forums, in Bay Area Machine Learning Symposium (BayLearn), 2014.
D. Sridhar, Getoor, L., and Walker, M., Collective Stance Classification of Posts in Online Debate Forums, in ACL Joint Workshop on Social Dynamics and Personal Attributes in Social Media, 2014.PDF icon sridhar-aclws14.pdf (190.8 KB)

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