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

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Z
E. Zheleva, Terzi, E., and Getoor, L., Privacy in Social Networks, vol. 4. Morgan & Claypool Publishers, 2012.
E. Zheleva, Prediction, Evolution and Privacy in Social and Affiliation Networks, University of Maryland College Park, 2011.PDF icon zheleva-phdthesis11.pdf (5.81 MB)
E. Zheleva and Getoor, L., Privacy in Social Networks: A Survey, vol. 1. Springer, 2011, pp. 247–276.PDF icon zheleva-book11.pdf (791.3 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)
E. Zheleva, Guiver, J., Rodrigues, E. Mendes, and Milic-Frayling, N., Statistical Models of Music-listening Sessions in Social Media, in 19th International World Wide Web Conference (WWW), 2010.PDF icon wfp0858-zheleva.pdf (612.42 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)
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., Preserving the Privacy of Sensitive Relationships in Graph Data, in Proceedings of the First SIGKDD International Workshop on Privacy, Security, and Trust in KDD (PinKDD 2007), 2008, vol. 4890, pp. 153-171.
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)
E. Zheleva, Kolcz, A., and Getoor, L., Trusting Spam Reporters: A Reporter-based Reputation System for Email Filtering, ACM Transactions on Information Systems, vol. 27, 2008.PDF icon zheleva-tois08.pdf (447.31 KB)
E. Zheleva, Getoor, L., Golbeck, J., and Kuter, U., Using Friendship Ties and Family Circles for Link Prediction, in 2nd ACM SIGKDD Workshop on Social Network Mining and Analysis (SNA-KDD), 2008.PDF icon zheleva-snakdd08.pdf (656.31 KB)
E. Zheleva and Getoor, L., Preserving the Privacy of Sensitive Relationships in Graph Data, in First ACM SIGKDD Workshop on Privacy, Security, and Trust in KDD (PinKDD 2007), 2007.PDF icon zheleva-pinkdd07.pdf (373.86 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)
Y. Zhang, Ramesh, A., Golbeck, J., Sridhar, D., and Getoor, L., A Structured Approach to Understanding Recovery and Relapse in AA, in The Web Conference (WWW), 2018.PDF icon zhang-www18.pdf (800.66 KB)
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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.
O. Udrea, Getoor, L., and Miller, R., HOMER: Ontology Alignment Visualization and Analysis. 2007.PDF icon getoor-homer07.pdf (125.38 KB)
O. Udrea, Miller, R., and Getoor, L., HOMER: Ontology visualization and analysis, in Demo Presentation at International Semantic Web Conference (ISWC), 2007.PDF icon homer.pdf (125.38 KB)
O. Udrea, Getoor, L., and Miller, R., Leveraging Data and Structure in Ontology Integration, in Proceedings of ACM-SIGMOD 2007 International Conference on Management, 2007, pp. 449–460.PDF icon p449.pdf (509.48 KB)
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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)
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)
S. Tomkins, Ramesh, A., and Getoor, L., Predicting Post-Test Performance from Online Student Behavior: A High School MOOC Case Study, in EDM, 2016.PDF icon tomkins-edm16.pdf (619.77 KB)
S. Tomkins, Getoor, L., Chen, Y., and Zhang, Y., A Socio-linguistic Model for Cyberbullying Detection, in International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018.PDF icon tomkins-asonam18.pdf (299.34 KB)
S. Tomkins, Farnadi, G., Amantullah, B., Getoor, L., and Minton, S., The Impact of Environmental Stressors on Human Trafficking, in ICWSM Workshop on Beyond Online Data (BOD), 2018.PDF icon tomkins-bod18.pdf (473.58 KB)
S. Tomkins, Isley, S., London, B., and Getoor, L., Sustainability at Scale: Bridging the Intention-Behavior Gap with Sustainable Recommendations, in Recommender Systems (RecSys), 2018.PDF icon tomkins-recsys18.pdf (655.92 KB)
S. Tomkins, Farnadi, G., Amantullah, B., Getoor, L., and Minton, S., The Impact of Environmental Stressors on Human Trafficking, in International Conference on Data Mining (ICDM), 2018.PDF icon tomkins-icdm18.pdf (473.58 KB)
S. Tomkins and Getoor, L., Understanding Hybrid-MOOC Effectiveness with a Collective Socio-Behavioral Model, Journal of Educational Data Mining (JEDM), vol. 11, p. 42--77, 2019.PDF icon tomkins-jedm19.pdf (679.09 KB)
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S. Srinivasan, Babaki, B., Farnadi, G., and Getoor, L., Lifted Hinge-Loss Markov Random Fields, in AAAI Conference on Artificial Intelligence (AAAI), 2019.PDF icon srinivasan-aaai19.pdf (417.5 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)
S. Srinivasan, Farnadi, G., and Getoor, L., BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic, in AAAI Conference on Artificial Intelligence (AAAI), 2020.PDF icon srinivasan-aaai20a.pdf (478.65 KB)
S. Srinivasan, Augustine, E., and Getoor, L., Tandem Inference: An Out-of-Core Streaming Algorithm For Very Large-Scale Relational Inference, in AAAI Conference on Artificial Intelligence (AAAI), 2020.PDF icon srinivasan-aaai20b.pdf (506.62 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, Pujara, J., and Getoor, L., Using Noisy Extractions to Discover Causal Knowledge, in NIPS Workshop on Automated Knowledge Base Construction, 2017.PDF icon sridhar-akbc17.pdf (203.34 KB)
D. Sridhar, Foulds, J., Walker, M., Huang, B., and Getoor, L., Joint Models of Disagreement and Stance in Online Debate, in Annual Meeting of the Association for Computational Linguistics (ACL), 2015.PDF icon sridhar-acl15.pdf (227.14 KB)
D. Sridhar and Getoor, L., Joint Probabilistic Inference of Causal Structure, in KDD Workshop on CD, 2016.PDF icon sridhar-cd16.pdf (204.51 KB)
D. Sridhar and Getoor, L., Probabilistic Inference for Causal Structure Discovery, in UAI Workshop on Causation, 2016.PDF icon sridhar-causation16.pdf (118.31 KB)
D. Sridhar, Fakhraei, S., and Getoor, L., A Probabilistic Approach for Collective Similarity-based Drug-Drug Interaction Prediction, Bioinformatics, vol. 32, 2016.PDF icon sridhar-bioinformatics16.pdf (1.94 MB)
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.
D. Sridhar, Pujara, J., and Getoor, L., Scalable Probabilistic Causal Structure Discovery, in International Joint Conference on Artificial Intelligence (IJCAI), 2018.PDF icon sridhar-ijcai18.pdf (281.32 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)
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)
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)
M. Smith, Barash, V., Getoor, L., and Lauw, H., Leveraging Social Context for Searching Social Media, in CIKM Workshop on Search in Social Media, 2008.
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)
L. Singh, Beard, M., Getoor, L., and M. Blake, B., Visual mining of multi-modal social networks at different abstraction levelsx, in L. Singh, M. Beard, L. Getoor, M. Blake. Visual mining of multi-modal social networks at different abstraction levels. IEEE Conference on Information Visualization - Symposium of Visual Data Mining (IV-VDM), 2007.PDF icon singh2007IV.pdf (809.15 KB)
L. Singh, Getoor, L., and Licamele, L., Pruning Social Networks Using Structural Properties and Descriptive Attributes, in IEEE International Conference on Data Mining (ICDM), 2005, pp. 773-776.PDF icon singh_icdm05.pdf (149.45 KB)
H. Sharara, Singh, L., and Getoor, L., Finding Prominent Actors in Dynamic Affiliation Networks, Human Journal, 2012.PDF icon 105-204-1-SM.pdf (757.7 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)

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