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

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C
G. Namata, London, B., and Getoor, L., Collective Graph Identification, TKDD, vol. 10, 2015.PDF icon namata-tkdd15.pdf (500.96 KB)
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)
A. Kimmig, Memory, A., Miller, R., and Getoor, L., A Collective, Probabilistic Approach to Schema Mapping, in International Conference on Data Engineering (ICDE), 2017.PDF icon kimmig-icde17.pdf (463.69 KB)
I. Bhattacharya and Getoor, L., Collective Relational Clustering, 1st ed., vol. 1. Chapman and Hall, 2008, pp. 221-244.PDF icon bhattacharya-book08.pdf (10.39 MB)
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)
B. London, Huang, B., Taskar, B., and Getoor, L., Collective Stability in Structured Prediction: Generalization from One Example, in ICML, 2013.PDF icon london-icml13.pdf (373.82 KB)
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)
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.
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)
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. 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.
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)
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)
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)
D
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)
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. 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)
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)
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)
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)
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, 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)
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. 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)
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)
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)
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)
E
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)
N. Friedman and Getoor, L., Efficient Learning Using Constrained Sufficient Statistics, in Uncertainty99, 1999.
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)
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.
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)
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)
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)
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.
L. Getoor and Machanavajjhala, A., Entity Resolution in Big Data, in KDD, 2013.PDF icon getoor-kdd13.pdf (7.16 MB)
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)
V. Sehgal, Getoor, L., and Viechnicki, P., Entity Resolution in Geospatial Data Integration, in ACM GIS, 2006.
I. Bhattacharya and Getoor, L., Entity Resolution in Social Networks, in International Sunbelt Social Network Conference (Sunbelt XXVI), 2006.
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)
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)
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)
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)
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)
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)

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