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U

P. Kouki, Schaffer, J., Pujara, J., ODonovan, J., and Getoor, L., “User Preferences for Hybrid Explanations”, in 11th ACM Conference on Recommender Systems (RecSys), 2017.

kouki-recsys17.pdf (2.64 MB)

R. Arti, Jaebong, Y., Shitian, S., Getoor, L., and Jihie, K., “User Role Prediction in Online Discussion Forums using Probabilistic Soft Logic”, in NeuRIPS Workshop on PE, 2012.

ramesh-pe11.pdf (40.65 KB)

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

J. Pujara, III, H. Daume, and Getoor, L., “Using Classifier Cascades for Scalable E-Mail Classification”, in Collaboration, Electronic Messaging, Anti-Abuse and Spam Conference, 2011.

pujara_ceas2011_camera.pdf (308.42 KB)

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

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

zheleva-snakdd08.pdf (656.31 KB)

D. Sridhar, Pujara, J., and Getoor, L., “Using Noisy Extractions to Discover Causal Knowledge”, in NIPS Workshop on Automated Knowledge Base Construction, 2017.

sridhar-akbc17.pdf (203.34 KB)

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

J. Pujara, Miao, H., Getoor, L., and Cohen, W., “Using Semantics & Statistics to Turn Data into Knowledge”, AI Magazine, vol. 36, pp. 65–74, 2015.

pujara_aimag15.pdf (359.48 KB)

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

lerman-sigmod04.pdf (307.43 KB)

U. Chajewska, Getoor, L., Norman, J., and Shahar, Y., “Utility Elicitation as a Classication Problem”, in Uncertainty in Articial Intelligence, 1998.

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

V

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

bilgic-aaai07.pdf (220.47 KB)

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

bilgic11a.pdf (1.64 MB)

H. Kang, Getoor, L., and Singh, L., “Visual Analysis of Dynamic Group Membership in Temporal Social Networks”, SIGKDD Explorations, Special Issue on Visual Analytics, vol. 9, pp. 13-21, 2007.

2_kang-CGROUP_1207.pdf (1.48 MB)

L. Singh, Beard, M., Getoor, L., and M. Blake, B., “Visual mining of multi-modal social networks at different abstraction levelsx”, in 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

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

ramesh-acl15.pdf (168.7 KB)

M

L. Licamele and 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

G. Piatetsky-Shapiro, Grossman, R., Djeraba, C., Feldman, R., Getoor, L., and Zaki, M., “Is there a grand challenge or X-prize for data mining?”, in 12th International Conference on Knowledge Discovery and Data Mining, 2006.

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