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U

Chajewska, U., Norman, J. & Getoor, L. Using Classication Techniques for Utility Elicitation: A Comparison between StandardGamble and Visual Analog Scale Methods. Twentieth Anniversary Meeting of the Society for Medical Decision Making (1998).

Pujara, J., III, H. Daume & Getoor, L. Using Classifier Cascades for Scalable E-Mail Classification. Collaboration, Electronic Messaging, Anti-Abuse and Spam Conference (ACM, 2011).

pujara_ceas2011_camera.pdf (308.42 KB)

desJardins, M., Getoor, L. & Koller, D. Using Feature Hierarchies in Bayesian Network Learning. Symposium on Abstraction, Reformulation and Approximation (2000).

Zheleva, E., Getoor, L., Golbeck, J. & Kuter, U. Using Friendship Ties and Family Circles for Link Prediction. 2nd ACM SIGKDD Workshop on Social Network Mining and Analysis (SNA-KDD) (2008).

zheleva-snakdd08.pdf (656.31 KB)

Sridhar, D., Pujara, J. & Getoor, L. Using Noisy Extractions to Discover Causal Knowledge. NIPS Workshop on Automated Knowledge Base Construction (2017).

sridhar-akbc17.pdf (203.34 KB)

Getoor, L. & Sahami, M. Using Probabilistic Relational Models for Collaborative Filtering. Working Notes of the KDD Workshop on Web Usage Analysis and User Profiling (1999).

Pujara, J., Miao, H., Getoor, L. & Cohen, W. Using Semantics & Statistics to Turn Data into Knowledge. AI Magazine 36, 65–74 (2015).

pujara_aimag15.pdf (359.48 KB)

Lerman, K., Getoor, L., Minton, S. & Knoblock, C. Using the Structure of Web Sites for Automatic Segmentation of Tables. In Proceedings of ACM-SIGMOD 2004 International Conference on Management of Data (2004).

lerman-sigmod04.pdf (307.43 KB)

Chajewska, U., Getoor, L., Norman, J. & Shahar, Y. Utility Elicitation as a Classication Problem. Uncertainty in Articial Intelligence (1998).

Chajewska, U., Getoor, L. & Norman, J. Utility Elicitation as a Classification Problem. Proceedings of the AAAI Spring Symposium Series on Interactive and Mixed Initiative Decision-Theoretic Systems (1998).

V

Bilgic, M. & Getoor, L. VOILA: Efficient Feature-value Acquisition for Classification. AAAI '07: Proceedings of the 22nd National Conference on Artificial Intelligence (2007).

bilgic-aaai07.pdf (220.47 KB)

Bilgic, M. & Getoor, L. Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition. Journal of Artificial Intelligence Research (JAIR) 41, 69–95 (2011).

bilgic11a.pdf (1.64 MB)

Kang, H., Getoor, L. & Singh, L. Visual Analysis of Dynamic Group Membership in Temporal Social Networks. SIGKDD Explorations, Special Issue on Visual Analytics 9, 13-21 (2007).

2_kang-CGROUP_1207.pdf (1.48 MB)

Singh, L., Beard, M., Getoor, L. & M. Blake, B. Visual mining of multi-modal social networks at different abstraction levelsx. 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).

singh2007IV.pdf (809.15 KB)

W

Ramesh, A., Kumar, S., Foulds, J. & Getoor, L. Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums. 53rd Annual Meeting of the Association for Computational Linguistics (ACL) (2015).

ramesh-acl15.pdf (168.7 KB)

M

Licamele, L. & Getoor, L. A method for the detection of meaningful and reproducible group signatures from gene expression profiles. Journal of Bioinformatics and Computational Biology (2011).

T

Piatetsky-Shapiro, G. et al. Is there a grand challenge or X-prize for data mining?. 12th International Conference on Knowledge Discovery and Data Mining (2006).

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