Export 317 results:
Author Title [ Year(Desc)]
Kimmig, A., Memory, A., Miller, R. J. & Getoor, L. A Collective, Probabilistic Approach to Schema Mapping Using Diverse Noisy Evidence. TKDE 31, 1426--1439 (2019).PDF icon kimming-tkde19.pdf (713.64 KB)
Farnadi, G., Babaki, B. & Getoor, L. A Declarative Approach to Fairness in Relational Domains. TCDE-Bulletin 42, 36--48 (2019).PDF icon farnadi-de19.pdf (365.14 KB)
Embar, V., Pujara, J. & Getoor, L. Collective Alignment of Large-scale Ontologies. AKBC Workshop on FKBs (2019).
Sridhar, D. & Getoor, L. Estimating Causal Effects of Tone in Online Debates. IJCAI (2019).PDF icon sridhar-ijcai19.pdf (220.49 KB)
Srinivasan, S., Rao, N. S., Subbaian, K. & Getoor, L. Identifying Facet Mismatches In Search Via Micrographs. CIKM (2019).PDF icon srinivasan-cikm19.pdf (887.06 KB)
Ramesh, A., Goldwasser, D., Huang, B., Daume, III, H. & Getoor, L. Interpretable Engagement Models for MOOCs using Hinge-loss Markov Random Fields. TLT 14, 1-1 (2019).PDF icon ramesh-tlt19.pdf (4.3 MB)
Srinivasan, S., Babaki, B., Farnadi, G. & Getoor, L. Lifted Hinge-Loss Markov Random Fields. AAAI (2019).PDF icon srinivasan-aaai19.pdf (417.5 KB)
Kouki, P., Schaffer, J., Pujara, J., Odonovan, J. & Getoor, L. Personalized Explanations for Hybrid Recommender Systems. IUI (2019).PDF icon kouki-iui19.pdf (3.34 MB)
Embar, V., Srinivasan, S. & Getoor, L. Tractable Marginal Inference for Hinge-Loss Markov Random Fields. ICML Workshop on TPM (2019).
Augustine, E., Rekatsinas, T. & Getoor, L. Tractable Probabilistic Reasoning Through Effective Grounding. ICML Workshop on TPM (2019).PDF icon augustine-tpm19.pdf (224.8 KB)
Tomkins, S. & Getoor, L. Understanding Hybrid-MOOC Effectiveness with a Collective Socio-Behavioral Model. JEDM 11, 42--77 (2019).PDF icon tomkins-jedm19.pdf (679.09 KB)