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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)
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)
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.