Publications

Export 311 results:
Author Title [ Year(Asc)]
2011
Zheleva, E. & Getoor, L. Social Network Data Analytics (Aggarwal, C.) 247–276 (Springer, 2011).
Plangprasopchok, A., Lerman, K. & Getoor, L. A Probabilistic Approach for Learning Folksonomies from Structured Data. Fourth ACM International Conference on Web Search and Data Mining (WSDM) (2011).
Getoor, L. & Scheffer, T. Proceedings of the 28th International Conference on Machine Learning. Proceedings of the 28th International Conference on Machine Learning (2011).
Pujara, J., London, B. & Getoor, L. Reducing Label Cost by Combining Feature Labels and Crowdsourcing. ICML Workshop on Combining Learning Strategies to Reduce Label Cost (2011).PDF icon clsicml_pujara_london.pdf (253.29 KB)
Sharara, H., Singh, L., Getoor, L. & Mann, J. Understanding Actor Loyalty to Event-Based Groups in Affiliation Networks. Journal of Advances in Social Networks Analysis and Mining 1, 115–126 (2011).
Pujara, J., III, H. Daume & Getoor, L. Using Classifier Cascades for Scalable E-Mail Classification. Collaboration, Electronic Messaging, Anti-Abuse and Spam Conference (ACM, 2011).PDF icon pujara_ceas2011_camera.pdf (308.42 KB)
Bilgic, M. & Getoor, L. Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition. Journal of Artificial Intelligence Research (JAIR) 41, 69–95 (2011).PDF icon bilgic11a.pdf (1.64 MB)
Licamele, L. & Getoor, L. A method for the detection of meaningful and reproducible group signatures from gene expression profiles. Journal of Bioinformatics and Computational Biology (2011).
2010
Bilgic, M. & Getoor, L. Active Inference for Collective Classification. Twenty-Fourth Conference on Artificial Intelligence (AAAI NECTAR Track) 1652–1655 (2010).PDF icon bilgic-aaai10.pdf (387.53 KB)
Sharara, H., Getoor, L. & Norton, M. An Active Learning Approach for Identifying Key Opinion Leaders. The 2nd Workshop on Information in Networks (WIN) (2010).
Bilgic, M., Mihalkova, L. & Getoor, L. Active Learning for Networked Data. Proceedings of the 27th International Conference on Machine Learning (ICML-10) (2010).PDF icon bilgic-icml10.pdf (515.65 KB)
Sharara, H., Getoor, L. & Norton, M. Active Surveying. NIPS Workshop on Networks Across Disciplines in Theory and Applications (2010).
Sharara, H., Norton, M. & Getoor, L. Active Surveying for Leadership Identification. The International Sunbelt Social Networks Conference XXX (2010).
Pujara, J. & Getoor, L. Coarse-to-Fine, Cost-Sensitive Classification of E-Mail. NIPS Workshop on Coarse-to-Fine Processing (2010).PDF icon pujara_nips10.pdf (258.86 KB)
Sen, P., Namata, G. Mark, Bilgic, M. & Getoor, L. Collective Classification. Encyclopedia of Machine Learning (2010).
Broecheler, M. & Getoor, L. Computing marginal distributions over continuous Markov networks for statistical relational learning. Advances in Neural Information Processing Systems (NIPS) (2010).PDF icon broecheler-nips10.pdf (382.51 KB)
Bach, S. H., Broecheler, M., Kok, S. & Getoor, L. Decision-Driven Models with Probabilistic Soft Logic. NIPS Workshop on Predictive Models in Personalized Medicine (2010).PDF icon bach-pmpm10.pdf (246.79 KB)
Sharara, H. & Getoor, L. Group Detection. Encyclopedia of Machine Learning (2010).
Plangprasopchok, A., Lerman, K. & Getoor, L. Growing a tree in the forest: constructing folksonomies by integrating structured metadata. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2010).PDF icon plang-kdd10.pdf (705.71 KB)
Zheleva, E., Getoor, L. & Sarawagi, S. Higher-order Graphical Models for Classification in Social and Affiliation Networks. NIPS Workshop on Networks Across Disciplines: Theory and Applications (2010).PDF icon zheleva-nips2010.pdf (200.43 KB)
Licamele, L. & Getoor, L. Indirect two-sided relative ranking: a robust similarity measure for gene expression data. BMC Bioinformatics (2010).
Bilgic, M. Information Acquisition in Structured Domains. (2010).PDF icon mbilgic-phdthesis.pdf (4.68 MB)
Doppa, J., Yu, J., Tadepalli, P. & Getoor, L. Learning Algorithms for Link Prediction based on Chance Constraints. European Conference on Machine Learning (ECML) (2010).PDF icon doppa-ecml10.pdf (203 KB)
Namata, G. Mark & Getoor, L. Link Prediction. Encyclopedia of Machine Learning (2010).
Hwang, H., Lauw, H., Getoor, L. & Ntoulas, A. Organizing User Search Histories. IEEE Transactions on Knowledge and Data Engineering (2010).
Broecheler, M., Mihalkova, L. & Getoor, L. Probabilistic Similarity Logic. Conference on Uncertainty in Artificial Intelligence (2010).PDF icon broecheler-uai10.pdf (399.54 KB)
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)
Zheleva, E., Guiver, J., Rodrigues, E. Mendes & Milic-Frayling, N. Statistical Models of Music-listening Sessions in Social Media. 19th International World Wide Web Conference (WWW) (2010).PDF icon wfp0858-zheleva.pdf (612.42 KB)
Namata, G. Mark, Sharara, H. & Getoor, L. Link Mining: Models, Algorithms, and Applications (Yu, J. Han Philip & Faloutsos, C.) (Springer, 2010).
2009
Sen, P., Deshpande, A. & Getoor, L. Bisimulation-based Approximate Lifted Inference. Uncertainty in Artificial Intelligence (2009).PDF icon uai09.pdf (240.89 KB)
Doppa, J., Yu, J., Tadepalli, P. & Getoor, L. Chance-Constrained Programs for Link Prediction. NIPS Workshop on Analyzing Networks and Learning with Graphs (2009).PDF icon doppa-nips09wkshp.pdf (161.38 KB)
Zheleva, E., Sharara, H. & Getoor, L. Co-evolution of Social and Affiliation Networks. 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (2009).PDF icon fp659-zheleva.pdf (900 KB)
Namata, G. Mark, Sen, P., Bilgic, M. & Getoor, L. Text Mining: Classification, Clustering, and Applications (Sahami, M. & Srivastava, A.) (Taylor and Francis Group, 2009).
Polymeropoulos, M. et al. 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).
Barash, V., Smith, M., Getoor, L. & Welser, H. Distinguishing Knowledge vs Social Capital in Social Media with Roles and Context. International Conference on Weblogs and Social Media (2009).PDF icon barash-icwsm09.pdf (171.16 KB)
Sharara, H., Singh, L., Getoor, L. & Mann, J. The Dynamics of Actor Loyalty to Groups in Affiliation Networks. International Conference on Advances in Social Networks Analysis and Mining (2009).PDF icon sharara_asonam09.pdf (446.61 KB)
Chen, D., Bilgic, M., Getoor, L. & Jacobs, D. Efficient Resource-constrained Retrospective Analysis of Long Video Sequences. NIPS Workshop on Adaptive Sensing, Active Learning and Experimental Design: Theory, Methods and Applications (2009).PDF icon chen-nips09-wkshp.pdf (383.38 KB)
Sayyadi, H. & Getoor, L. Future Rank: Ranking Scientific Articles by Predicting their Future PageRank. 2009 SIAM International Conference on Data Mining (SDM09) (2009).PDF icon sayyadi_futureRank_sdm09.pdf (621.55 KB)
Deshpande, A., Getoor, L. & Sen, P. Managing and Mining Uncertain Data (Aggarwal, C.) (Springer, 2009).PDF icon pgm-chapter.pdf (570.7 KB)
Namata, G. Mark & Getoor, L. Identifying Graphs From Noisy and Incomplete Data. 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data (2009).PDF icon namatag-kddu09.pdf (241.7 KB)
Schnaitter, K., Polyzotis, N. & Getoor, L. Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications. International Conference on Very Large Data Bases (2009).PDF icon schnaitter-vldb09.pdf (743.29 KB)
Bilgic, M. & Getoor, L. Link-based Active Learning. NIPS Workshop on Analyzing Networks and Learning with Graphs (2009).PDF icon mbilgic-nips09wkshp.pdf (116.35 KB)
Saha, B. & Getoor, L. On Maximum Coverage in the Streaming Model & Application to Multi-topic Blog-Watch. 2009 SIAM International Conference on Data Mining (SDM09) (2009).PDF icon saha-sdm08.pdf (233.12 KB)
Somasundaran, S., Namata, G. Mark, Getoor, L. & Wiebe, J. Opinion Graphs for Polarity and Discourse Classification. TextGraphs-4: Graph-based Methods for Natural Language Processing (2009).PDF icon somasundaran-textgraphs09.pdf (289.75 KB)
Namata, G. Mark & Getoor, L. A Pipeline Approach to Graph Identification. Seventh International Workshop on Mining and Learning with Graphs (2009).PDF icon namatag-mlg09.pdf (93.77 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)
Broecheler, M. & Getoor, L. Probabilistic Similarity Logic. International Workshop on Statistical Relational Learning (SRL'09) (2009).PDF icon broecheler-srl09.pdf (176.13 KB)
Bilgic, M. & Getoor, L. Reflect and Correct: A Misclassification Prediction Approach to Active Inference. ACM Transactions on Knowledge Discovery from Data 3, 1–32 (2009).PDF icon bilgic-tkdd09.pdf (3.66 MB)
Sen, P. Representing and Querying Uncertain Data. (2009).PDF icon thesis.pdf (1.12 MB)
Somasundaran, S., Namata, G. Mark, Wiebe, J. & Getoor, L. Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification. Conference on Empirical Methods in Natural Language Processing (2009).PDF icon somasundaran-emnlp09.pdf (390.93 KB)

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