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

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A
H. Sharara, Norton, M., and Getoor, L., “Active Surveying for Leadership Identification”, in The International Sunbelt Social Networks Conference XXX, 2010.
S. Hossam, Getoor, L., and Myra, N., “Active Surveying: A Probabilistic Approach for Identifying Key Opinion Leaders”, in IJCAI, 2011.PDF icon sharara-ijcai11.pdf (349.39 KB)
H. Sharara, Getoor, L., and Norton, M., “Active Surveying”, in NIPS Workshop on Networks Across Disciplines in Theory and Applications, 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., “An Active Learning Approach for Identifying Key Opinion Leaders”, in The 2nd Workshop on Information in Networks (WIN), 2010.
C. Daozheng, Mustafa, B., Getoor, L., David, J., Lilyana, M., and Tom, Y., “Active Inference for Retrieval in Camera Networks”, in IEEE Workshop on Person-Oriented Vision, 2011.PDF icon chen-wpov11.pdf (1.53 MB)
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)
A. Grycner, Weikum, G., Pujara, J., Foulds, J., and Getoor, L., “A Unified Probabilistic Approach for Semantic Clustering of Relational Phrases”, in NeurIPS, 2014.
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)
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)
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)
A. Kimmig, Bach, S., Broecheler, M., Huang, B., and Getoor, L., “A Short Introduction to Probabilistic Soft Logic”, in NIPS Workshop on PPFA, 2012.PDF icon kimming-ppfa12.pdf (164.6 KB)
A. Ramesh, “A Probabilistic Approach to Modeling Socio-Behavioral Interactions”, University of Maryland, College Park, 2016.PDF icon ramesh-thesis16.pdf (865.41 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)
B. Huang, Kimmig, A., Getoor, L., and Golbeck, J., “A Flexible Framework for Probabilistic Models of Social Trust”, in SBP, 2013.PDF icon huang-sbp13.pdf (247.2 KB)
R. Islamaj, Getoor, L., and Wilbur, J., A Feature Generation Algorithm with Applications to Biological Sequence Classification, 1st ed., vol. 1. Chapman and Hall/CRC Press, 2008, p. 355--376.PDF icon islamaj-book08.pdf (3.09 MB)
G. Farnadi, Kouki, P., Thompson, S. K., Srinivasan, S., and Getoor, L., “A Fairness-aware Hybrid Recommender System”, in RecSys Workshop on Responsible Recommendation (FATREC), 2018.PDF icon farnadi-fatrec18.pdf (474.04 KB)
G. Farnadi, Babaki, B., and Getoor, L., “A Declarative Approach to Fairness in Relational Domains”, IEEE Data Engineering Bulletin, vol. 42, no. 3, p. 36--48, 2019.PDF icon farnadi-de19.pdf (365.14 KB)
E. Augustine and Getoor, L., “A Comparison of Bottom-Up Approaches to Grounding for Templated Markov Random Fields”, in Machine Learning and Systems (MLSys), 2018.PDF icon augustine-sysml18.pdf (624.33 KB)
A. Kimmig, Memory, A., Miller, R. J., and Getoor, L., “A Collective, Probabilistic Approach to Schema Mapping Using Diverse Noisy Evidence”, IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 31, no. 8, p. 1426--1439, 2019.PDF icon kimming-tkde19.pdf (713.64 KB)

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