Archived Publications (Latest: https://linqs.github.io/linqs-website/publications/)

Export 104 results:
Author Title [ Year(Asc)]
Filters: First Letter Of Last Name is S  [Clear All Filters]
2019
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)
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)
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)
2017
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.PDF icon kouki-recsys17.pdf (2.64 MB)
D. Sridhar, Pujara, J., and Getoor, L., Using Noisy Extractions to Discover Causal Knowledge, in NIPS Workshop on Automated Knowledge Base Construction, 2017.PDF icon sridhar-akbc17.pdf (203.34 KB)
2014
N. Ramakrishnan, Butler, P., Self, N., Khandpur, R., Saraf, P., Wang, W., Cadena, J., Vullikanti, A., Korkmaz, G., Kuhlman, C., Marathe, A., Zhao, L., Ting, H., Huang, B., Srinivasan, A., Trinh, K., Getoor, L., Katz, G., Doyle, A., Ackermann, C., Zavorin, I., Ford, J., Summers, K., Fayed, Y., Arredondo, J., Gupta, D., and Mares, D., ‘Beating the news’ with EMBERS: Forecasting Civil Unrest using Open Source Indicators, in ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2014.PDF icon ramakrishnan-kdd14.pdf (1.15 MB)
N. Ramakrishnan, Butler, P., Self, N., Khandpur, R., Saraf, P., Wang, W., Cadena, J., Vullikanti, A., Korkmaz, G., Kuhlman, C., Marathe, A., Zhao, L., Ting, H., Huang, B., Srinivasan, A., Trinh, K., Getoor, L., Katz, G., Doyle, A., Ackermann, C., Zavorin, I., Ford, J., Summers, K., Fayed, Y., Arredondo, J., Gupta, D., and Mares, D., ‘Beating the news’ with EMBERS: Forecasting Civil Unrest using Open Source Indicators, in ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2014.PDF icon ramakrishnan-kdd14.pdf (1.15 MB)
N. Ramakrishnan, Butler, P., Self, N., Khandpur, R., Saraf, P., Wang, W., Cadena, J., Vullikanti, A., Korkmaz, G., Kuhlman, C., Marathe, A., Zhao, L., Ting, H., Huang, B., Srinivasan, A., Trinh, K., Getoor, L., Katz, G., Doyle, A., Ackermann, C., Zavorin, I., Ford, J., Summers, K., Fayed, Y., Arredondo, J., Gupta, D., and Mares, D., ‘Beating the news’ with EMBERS: Forecasting Civil Unrest using Open Source Indicators, in ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2014.PDF icon ramakrishnan-kdd14.pdf (1.15 MB)
N. Ramakrishnan, Butler, P., Self, N., Khandpur, R., Saraf, P., Wang, W., Cadena, J., Vullikanti, A., Korkmaz, G., Kuhlman, C., Marathe, A., Zhao, L., Ting, H., Huang, B., Srinivasan, A., Trinh, K., Getoor, L., Katz, G., Doyle, A., Ackermann, C., Zavorin, I., Ford, J., Summers, K., Fayed, Y., Arredondo, J., Gupta, D., and Mares, D., ‘Beating the news’ with EMBERS: Forecasting Civil Unrest using Open Source Indicators, in ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2014.PDF icon ramakrishnan-kdd14.pdf (1.15 MB)
D. Sridhar, Getoor, L., and Walker, M., Collective Stance Classification of Posts in Online Debate Forums, in ACL Joint Workshop on Social Dynamics and Personal Attributes in Social Media, 2014.PDF icon sridhar-aclws14.pdf (190.8 KB)
D. Sridhar, Foulds, J., Huang, B., Walker, M., and Getoor, L., Collective classification of stance and disagreement in online debate forums, in Bay Area Machine Learning Symposium (BayLearn), 2014.
2011
H. Sharara, Rand, W., and Getoor, L., Differential Adaptive Diffusion: Understanding Diversity and Learning whom to Trust in Viral Marketing, in ICWSM, 2011.PDF icon sharara-aaai11.pdf (646.6 KB)
H. Sharara, Sopan, A., Namata, G. Mark, Getoor, L., and Singh, L., G-PARE: A Visual Analytic Tool for Comparative Analysis of Uncertain Graphs, in IEEE Conference on Visual Analytics Science and Technology (VAST), 2011.PDF icon sharara-vast11.pdf (1.64 MB)
H. Sharara, Sopan, A., Namata, G. Mark, Getoor, L., and Singh, L., G-PARE: A Visual Analytic Tool for Comparative Analysis of Uncertain Graphs, in IEEE Conference on Visual Analytics Science and Technology (VAST), 2011.PDF icon sharara-vast11.pdf (1.64 MB)
H. Sharara, Sopan, A., Namata, G. Mark, Getoor, L., and Singh, L., G-PARE: A Visual Analytic Tool for Comparative Analysis of Uncertain Graphs, in IEEE Conference on Visual Analytics Science and Technology (VAST), 2011.PDF icon sharara-vast11.pdf (1.64 MB)
S. Minton, Michelson, M., See, K., Macskassy, S., Gazen, B. C., and Getoor, L., Improving Classifier Performance by Autonomously Collecting Background Knowledge from the Web, in Tenth International Conference on Machine Learning and Applications, 2011.PDF icon minton-icmla2011.pdf (733.09 KB)
H. Sharara, Halgin, D., Getoor, L., and Borgatti, S., Multi-dimensional Trajectory Analysis for Career Histories, in International Sunbelt Social Networks Conference (Sunbelt XXXI), 2011.
L. Getoor and Scheffer, T., Proceedings of the 28th International Conference on Machine Learning, in Proceedings of the 28th International Conference on Machine Learning, 2011.
H. Sharara, Singh, L., Getoor, L., and Mann, J., Understanding Actor Loyalty to Event-Based Groups in Affiliation Networks, Journal of Advances in Social Networks Analysis and Mining, vol. 1, pp. 115–126, 2011.
H. Sharara, Singh, L., Getoor, L., and Mann, J., Understanding Actor Loyalty to Event-Based Groups in Affiliation Networks, Journal of Advances in Social Networks Analysis and Mining, vol. 1, pp. 115–126, 2011.

Pages