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

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2011
L. Getoor and Scheffer, T., Proceedings of the 28th International Conference on Machine Learning, in Proceedings of the 28th International Conference on Machine Learning, 2011.
J. Pujara, London, B., and Getoor, L., Reducing Label Cost by Combining Feature Labels and Crowdsourcing, in ICML Workshop on Combining Learning Strategies to Reduce Label Cost, 2011.PDF icon clsicml_pujara_london.pdf (253.29 KB)
H. Sharara, Singh, L., Getoor, L., and Mann, J., Understanding Actor Loyalty to Event-Based Groups in Affiliation Networks, Journal of Advances in Social Networks Analysis and Mining, vol. 1, pp. 115–126, 2011.
J. Pujara, III, H. Daume, and Getoor, L., Using Classifier Cascades for Scalable E-Mail Classification, in Collaboration, Electronic Messaging, Anti-Abuse and Spam Conference, 2011.PDF icon pujara_ceas2011_camera.pdf (308.42 KB)
M. Bilgic and Getoor, L., Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition, Journal of Artificial Intelligence Research (JAIR), vol. 41, pp. 69–95, 2011.PDF icon bilgic11a.pdf (1.64 MB)
L. Licamele and 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
G. Namata, Sharara, H., and Getoor, L., A Survey of Link Mining Tasks for Analyzing Noisy and Incomplete Networks, 1st ed., vol. 1. Springer, 2010, p. 107--133.PDF icon namata-book10.pdf (656.83 KB)
M. Bilgic and Getoor, L., Active Inference for Collective Classification, in Twenty-Fourth Conference on Artificial Intelligence (AAAI NECTAR Track), 2010, pp. 1652–1655.PDF icon bilgic-aaai10.pdf (387.53 KB)
H. Sharara, Getoor, L., and Norton, M., An Active Learning Approach for Identifying Key Opinion Leaders, in The 2nd Workshop on Information in Networks (WIN), 2010.
M. Bilgic, Mihalkova, L., and Getoor, L., Active Learning for Networked Data, in Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010.PDF icon bilgic-icml10.pdf (515.65 KB)
H. Sharara, Getoor, L., and Norton, M., Active Surveying, in NIPS Workshop on Networks Across Disciplines in Theory and Applications, 2010.
H. Sharara, Norton, M., and Getoor, L., Active Surveying for Leadership Identification, in The International Sunbelt Social Networks Conference XXX, 2010.
J. Pujara and Getoor, L., Coarse-to-Fine, Cost-Sensitive Classification of E-Mail, in NIPS Workshop on Coarse-to-Fine Processing, 2010.PDF icon pujara_nips10.pdf (258.86 KB)
P. Sen, Namata, G. Mark, Bilgic, M., and Getoor, L., Collective Classification, Encyclopedia of Machine Learning, 2010.
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)
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)
H. Sharara and Getoor, L., Group Detection, Encyclopedia of Machine Learning, 2010.
A. Plangprasopchok, Lerman, K., and Getoor, L., Growing a tree in the forest: constructing folksonomies by integrating structured metadata, in ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010.PDF icon plang-kdd10.pdf (705.71 KB)
E. Zheleva, Getoor, L., and Sarawagi, S., Higher-order Graphical Models for Classification in Social and Affiliation Networks, in NIPS Workshop on Networks Across Disciplines: Theory and Applications, 2010.PDF icon zheleva-nips2010.pdf (200.43 KB)
L. Licamele and Getoor, L., Indirect two-sided relative ranking: a robust similarity measure for gene expression data, BMC Bioinformatics, 2010.
J. Doppa, Yu, J., Tadepalli, P., and Getoor, L., Learning Algorithms for Link Prediction based on Chance Constraints, in European Conference on Machine Learning (ECML), 2010.PDF icon doppa-ecml10.pdf (203 KB)
G. Mark Namata and Getoor, L., Link Prediction, Encyclopedia of Machine Learning, 2010.
H. Hwang, Lauw, H., Getoor, L., and Ntoulas, A., Organizing User Search Histories, IEEE Transactions on Knowledge and Data Engineering, 2010.
M. Broecheler, Mihalkova, L., and Getoor, L., Probabilistic Similarity Logic, in Conference on Uncertainty in Artificial Intelligence, 2010.PDF icon broecheler-uai10.pdf (399.54 KB)
P. Sen, Deshpande, A., and Getoor, L., Read-Once Functions and Query Evaluation in Probabilistic Databases, in International Conference on Very Large Data Bases, 2010.PDF icon draft.pdf (322 KB)
2009
P. Sen, Deshpande, A., and Getoor, L., Bisimulation-based Approximate Lifted Inference, in Uncertainty in Artificial Intelligence, 2009.PDF icon uai09.pdf (240.89 KB)
J. Doppa, Yu, J., Tadepalli, P., and Getoor, L., Chance-Constrained Programs for Link Prediction, in NIPS Workshop on Analyzing Networks and Learning with Graphs, 2009.PDF icon doppa-nips09wkshp.pdf (161.38 KB)
E. Zheleva, Sharara, H., and Getoor, L., Co-evolution of Social and Affiliation Networks, in 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2009.PDF icon fp659-zheleva.pdf (900 KB)
G. Namata, Sen, P., Bilgic, M., and Getoor, L., Collective Classification for Text Classification, 1st ed., vol. 1. Taylor and Francis Group, 2009, p. 51--69.PDF icon namata-book09.pdf (4.35 MB)
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.
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)
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)
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)
H. Sayyadi and Getoor, L., Future Rank: Ranking Scientific Articles by Predicting their Future PageRank, in 2009 SIAM International Conference on Data Mining (SDM09), 2009.PDF icon sayyadi_futureRank_sdm09.pdf (621.55 KB)
A. Deshpande, Getoor, L., and Sen, P., Graphical Models for Uncertain Data, 1st ed., vol. 1. Springer, 2009, p. 1--34.PDF icon deshpande-book09.pdf (570.7 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)
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)
M. Bilgic and Getoor, L., Link-based Active Learning, in NIPS Workshop on Analyzing Networks and Learning with Graphs, 2009.PDF icon mbilgic-nips09wkshp.pdf (116.35 KB)
B. Saha and Getoor, L., On Maximum Coverage in the Streaming Model & Application to Multi-topic Blog-Watch, in 2009 SIAM International Conference on Data Mining (SDM09), 2009.PDF icon saha-sdm08.pdf (233.12 KB)
S. Somasundaran, Namata, G. Mark, Getoor, L., and Wiebe, J., Opinion Graphs for Polarity and Discourse Classification, in TextGraphs-4: Graph-based Methods for Natural Language Processing, 2009.PDF icon somasundaran-textgraphs09.pdf (289.75 KB)
G. Mark Namata and Getoor, L., A Pipeline Approach to Graph Identification, in Seventh International Workshop on Mining and Learning with Graphs, 2009.PDF icon namatag-mlg09.pdf (93.77 KB)
P. Sen, Deshpande, A., and 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)
M. Broecheler and Getoor, L., Probabilistic Similarity Logic, in International Workshop on Statistical Relational Learning (SRL'09), 2009.PDF icon broecheler-srl09.pdf (176.13 KB)
M. Bilgic and Getoor, L., Reflect and Correct: A Misclassification Prediction Approach to Active Inference, ACM Transactions on Knowledge Discovery from Data, vol. 3, pp. 1–32, 2009.PDF icon bilgic-tkdd09.pdf (3.66 MB)
S. Somasundaran, Namata, G. Mark, Wiebe, J., and Getoor, L., Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification, in Conference on Empirical Methods in Natural Language Processing, 2009.PDF icon somasundaran-emnlp09.pdf (390.93 KB)
E. Zheleva and Getoor, L., To Join or not to Join: The Illusion of Privacy in Social Networks with Mixed Public and Private User Profiles, in 18th International World Wide Web conference (WWW), 2009.PDF icon fp660-zheleva.pdf (538.92 KB)
E. Zheleva and Getoor, L., To Join or not to Join: The Illusion of Privacy in Social Networks with Mixed Public and Private User Profiles, in The Web Conference (WWW), College Park, 2009.PDF icon zheleva-cs-tr4926.pdf (366.68 KB)

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