Publications

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Sen, P., Namata, G. Mark, Bilgic, M. & Getoor, L. Collective Classification. Encyclopedia of Machine Learning (2010).
Sen, P., Deshpande, A. & Getoor, L. Read-Once Functions and Query Evaluation in Probabilistic Databases. International Conference on Very Large Data Bases (2010).PDF icon draft.pdf (322 KB)
Sen, P., Deshpande, A. & Getoor, L. Bisimulation-based Approximate Lifted Inference. Uncertainty in Artificial Intelligence (2009).PDF icon uai09.pdf (240.89 KB)
Sen, P., Deshpande, A. & Getoor, L. PrDB: Managing and Exploiting Rich Correlations in Probabilistic Databases. VLDB Journal, special issue on uncertain and probabilistic databases (2009).PDF icon sen-vldbj09.pdf (1.12 MB)
Sen, P. Representing and Querying Uncertain Data. (2009).PDF icon thesis.pdf (1.12 MB)
Sen, P. et al. Collective Classification in Network Data. AI Magazine 29, 93–106 (2008).PDF icon sen-aimag08.pdf (497.82 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., 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)
Sen, P. & Getoor, L. Link-based Classification. (2007).PDF icon senum-tr07.pdf (511.11 KB)
Sen, P. & Deshpande, A. Representing and Querying Correlated Tuples in Probabilistic Databases. International Conference on Data Engineering (2007).PDF icon icde07_final.pdf (309.63 KB)
Sen, P., Deshpande, A. & Getoor, L. Representing Tuple and Attribute Uncertainty in Probabilistic Databases. Workshop on Data Mining of Uncertain Data (ICDM) (2007).PDF icon dune07.pdf (176.67 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)
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)