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

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I
I. Bhattacharya and Getoor, L., Iterative Record Linkage for Cleaning and Integration, in ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD), 2004.PDF icon bhattacharyasigmod04-wkshp.pdf (222.38 KB)
L. Getoor and Taskar, B., Introduction to Statistical Relational Learning. The MIT Press, 2007.
L. Getoor, An Introduction to Probabilistic Graphical Models for Relational Data, Data Engineering Bulletin, vol. 29, 2006.
A. Ramesh, Goldwasser, D., Huang, B., Daume, III, H., and Getoor, L., Interpretable Engagement Models for MOOCs using Hinge-loss Markov Random Fields, IEEE Transactions on Learning Technologies (TLT), vol. 14, pp. 1-1, 2019.PDF icon ramesh-tlt19.pdf (4.3 MB)
H. Kang, Getoor, L., Shneiderman, B., Bilgic, M., and Licamele, L., Interactive Entity Resolution in Relational Data: A Visual Analytic Tool and Its Evaluation, IEEE Transactions on Visualization and Computer Graphics, vol. 14, pp. 999–1014, 2008.PDF icon kang-tvcg08.pdf (3.63 MB)
G. Mark Namata, Getoor, L., and Diehl, C., Inferring Organizational Titles in Online Communications, in ICML Workshop on Statistical Network Analysis, 2006.PDF icon icml2006_ExtAbst.pdf (72.39 KB)
L. Licamele and Getoor, L., Indirect two-sided relative ranking: a robust similarity measure for gene expression data, BMC Bioinformatics, 2010.
K. Schnaitter, Polyzotis, N., and Getoor, L., Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications, in International Conference on Very Large Data Bases, 2009.PDF icon schnaitter-vldb09.pdf (743.29 KB)
L. Singh and Getoor, L., Increasing the predictive power of affiliation networks., IEEE Data Engineering Bulletin, vol. 30, 2007.PDF icon singh.pdf (87.94 KB)
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)
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)
G. Mark Namata and Getoor, L., Identifying Graphs From Noisy and Incomplete Data, in 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, 2009.PDF icon namatag-kddu09.pdf (241.7 KB)
S. Srinivasan, Rao, N. S., Subbaian, K., and Getoor, L., Identifying Facet Mismatches In Search Via Micrographs, in International Conference on Information and Knowledge Management (CIKM), 2019.PDF icon srinivasan-cikm19.pdf (887.06 KB)