Archived Publications (Latest:

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Author Title [ Year(Desc)]
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)
V. Embar, Pujara, J., and Getoor, L., Collective Alignment of Large-scale Ontologies, in AKBC Workshop on Federated Knowledge Bases (FKBs), 2019.PDF icon embar-fkbs19.pdf (57.36 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)
P. Kouki, Schaffer, J., Pujara, J., O'Donovan, J., and Getoor, L., Generating and Understanding Personalized Explanations in Hybrid Recommender Systems, ACM Transactions on Interactive Intelligent Systems, 2019.PDF icon kouki-tiis19.pdf (2.01 MB)
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)
A. Ramesh, Goldwasser, D., Huang, B., Daume, III, H., and Getoor, L., Interpretable Engagement Models for MOOCs using Hinge-loss Markov Random Fields, IEEE Transactions on Learning Technologies (TLT), vol. 14, pp. 1-1, 2019.PDF icon ramesh-tlt19.pdf (4.3 MB)
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)
P. Kouki, Schaffer, J., Pujara, J., Odonovan, J., and Getoor, L., Personalized Explanations for Hybrid Recommender Systems, in Intelligent User Interfaces (IUI), 2019.PDF icon kouki-iui19.pdf (3.34 MB)
V. Embar, Srinivasan, S., and Getoor, L., Tractable Marginal Inference for Hinge-Loss Markov Random Fields, in ICML Workshop on Tractable Probabilistic Modeling (TPM), 2019.PDF icon embar-tpm19.pdf (410.24 KB)
E. Augustine, Rekatsinas, T., and Getoor, L., Tractable Probabilistic Reasoning Through Effective Grounding, in ICML Workshop on Tractable Probabilistic Modeling (TPM), 2019.PDF icon augustine-tpm19.pdf (224.8 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)