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

Search

Show only items where

Author anyAckermann, Chris Aggarwal, Charu Amantullah, Brian Ariel, Fuxman Arredondo, Jaime Arredondo, Jaime Arti, Ramesh Augustine, Eriq Babaki, Behrouz Bach, Stephen H.Bach, Stephen Barash, Vladimir Beard, Mitchell Bengio, Yoshua Bert, Huang Bhattacharya, Indrajit Bhattacharya, Indrajit Bilgic, Mustafa Bilgic, Mustafa Blake, Brian Blondeel, Marjon Borgatti, Steve Boyd-Graber, Jordan Bradley, Skaggs Broecheler, Matthias Broecheler, Matthias Brownstein, John Brownstein, John Butler, Patrick Cadena, Jose Carlson, Bjorn Carstea, Eugene Chajewska, Ursulza Chang, Johnnie Chen, Daozheng Chen, Yunfei Chen, Robert Choi, Jonghyun Cohen, William Cook, Diane Daozheng, Chen Daume, Hal David, Jacobs Davis, Larry Davis, Larry De Cock, Martine Deshpande, Amol Deshpande, Amol Dhanya, Sridhar Diehl, Christopher Dietterich, Thomas Djeraba, Chabane Domingos, Pedro Dong, Xin LunaDong, Luna Dong, Xin LunaDoppa, Janardhan Doyle, Andy Dzeroski, Saso Eirinaki, Magdalini Eliassi-Rad, Tina Elsayed, Tamer Embar, Varun Eric, Norris Fakhraei, Shobeir Fakhraei, Shobeir Faloutsos, Christos Farnadi, Golnoosh Fayed, Youssef Feldman, Ronen Ford, Jim Foulds, James Foulds, James Friedman, Nir Friedman, Nir Friedman, Mark Fromherz, Markus Gallagher, Brian Gazen, Bora C.Getoor, Lise Ghosh, Saurav Ghosh, Saurav Golbeck, Jennifer Golbeck, Jennifer Goldwasser, Dan Goldwasser, Dan Grant, John Grossman, Robert Grycner, Adam Grycner, Adam Guiver, John Gupta, Dipak Gupta, Dipak Haidarian-Shahri, Hamid Halgin, Daniel Han, Jiawei He, Xinran Healy, Patrick Holder, Lawrence Hollis, Victoria Hossam, Sharara Huang, Bert Huang, Bert Hung, Edward Hwang, Heasoo III, Hal DaumeIslamaj, Rezarta Islamaj, Rezarta Isley, Steve Jacobs, David Jaebong, Yoo Janet, Mann Jay, Pujara Jihie, Kim Jr., Nick ShortKang, Jeonhyung Kang, Hyunmo Katz, Graham Katz, Graham Kayali, Moe Khamis, Sameh Khandpur, Rupinder Kim, Sungchul Kimmig, Angelika Kimmig, Angelika Kini, Nikhil Knoblock, Craig Koehly, Laura Koehly, Laura Koh, Eunyee Kok, Stanley Kolcz, Alek Koller, Daphne Koller, Daphne Korkmaz, Gizem Kouki, Pigi Kouki, Pigi Kuhlman, Christopher Kumar, Shachi Kumar, Shachi Kuter, Ugur Lansky, Amy Lauw, Hady Lavedan, Christian Lavrac, Nada Lerman, Kristina Licamele, Louis Lilyana, Mihalkova Lisa, Singh Liu, Xiangyang Liu, Huan Liu, Yan London, Ben London, Ben Lu, Qing Machanavajjhala, Ashwin Machanavajjhala, Ashwin Mack, Kendra Macskassy, Sofus Mann, Janet Marathe, Achla Marcum, Christopher Marcum, Christopher Mares, David Mares, David Maulik, Ujjwal Mekaru, Sumiko Mekaru, Sumiko Memory, Alex Memory, Alex Miao, Hui Miao, Hui Michelson, Matthew Mihalkova, Lilyana Milic-Frayling, Natasa Miller, Renee Miller, Renee JMinton, Steve Minton, Steven Mitkus, Shruti Moens, Marie-Francine Motoda, Hiroshi Mount, Stephen Moustafa, Walaa EldinMoustafa, Walaa Moustafa, Walaa Muggleton, Stephen Mustafa, Bilgic Muthiah, Sathappan Myra, Norton Namata, Galileo MarkNamata, Galileo Namata, Galileo Navlakha, Saket Nikolov, Nikola S.Norman, Joseph Norton, Myra Nsoesie, Elaine Nsoesie, Elaine Ntoulas, Alexcandros O'Donovan, John O'Leary, Dianne ODonovan, John Oard, Doug Odonovan, John Onukwugha, Eberechukwu Ottosson, Gregor Panagiotis, Papadimitriou Panayiotis, Tsaparas Parikh, Harsh Pfeffer, Avi Pfeffer, Avi Piatetsky-Shapiro, Gregory Plangprasopchok, Anon Polymeropoulos, Mihales Polyzotis, Neoklis Pujara, Jay Pujara, Jay Ramakrishnan, Naren Ramakrishnan, Naren Ramesh, Arti Ramesh, Arti Rand, William Rao, Nikhil SRaschid, Louiqa Raschid, Louiqa Rastegari, Mohammad Rathod, Priyang Rekatsinas, Theodoros Rekatsinas, Theodoros Rhee, Jeanne Riloff, Ellen Rodrigues, Eduarda MendesRodriguez, Mario Roussopoulos, Nick Roy, Sudeepa Saha, Barna Sahami, Mehran Salami, Babak Saraf, Parang Sarawagi, Sunita Sayyadi, Hassan Schaffer, James Schaffer, James Scheffer, Tobias Schmidler, Scott Schnaitter, Karl See, Kane Segal, Eran Sehgal, Vivek Self, Nathan Sen, Prithviraj Sen, Prithviraj Shahar, Yuval Sharara, Hossam Sharara, Hossam Shashanka, Madhusudana Shitian, Shen Shneiderman, Ben Singh, Lisa Sisman, Bunyamin Skomoroch, Peter Small, Peter Smith, Marc Somasundaran, Swapna Sopan, Awalin Springer, Aaron Sridhar, Dhanya Srinivasan, Aravind Srinivasan, Sriram Srivastava, Ashok Srivastava, Divesh Srivastava, Divesh Staats, Brian Stephen, Bach Subbaian, Karthik Subrahmanian, V. S.Suciu, Dan Summers, Kristin Tadepalli, Prasad Taskar, Benjamin Terzi, Evimaria Thompson, Spencer K.Ting, Hua Tom, Yeh Tomkins, Sabina Tomkins, Sabina Trinh, Khoa Udrea, Octavian Viechnicki, Peter Volpi, Simona Vullikanti, Anil Walker, Marilyn Wang, Wei Wei, Hao Weikum, Gerhard Weikum, Gerhard Welser, Howard Whittaker, Steve Wiebe, Janyce Wilbur, John Wilbur, John Yu, Philip Yu, Jun Zaki, Mohammed Zavorin, Ilya Zhang, Yi Zhang, Yue Zhao, Liang Zhao, Bin Zheleva, Elena Zheleva, Elena desJardins, Marie

Type anyConference PaperJournal ArticleThesisTutorialBookUnpublished

Term any

Year any20202019201820172016201520142013201220112010200920082007200620052004200320022001200019991998199719951994

Keyword anyCognitionComparative AnalysisComplexity theoryData engineeringDiscussion ForumsFirst-order probabilistic modelsHL-MRFsKnowledge engineeringLDALifted inference and learningMOOCMOOC Discussion ForumsMOOCsMetadataModel ComparisonOnline CoursesPAC-BayesPar-factor graphsProbabilistic logicProbabilistic programmingSRLSchema mappingSeeded LDASocio-behavioral modelsStatistical relational learningTask analysisTemplated graphical modelsUncertain GraphsVisualizing Uncertaintyanonymity onlinebioinformatics gene expression analysis antipsychotic pharmacogeneticscollective classificationcollective mapping discoverydata integrationdefectfeature generationfunctional biological signalsgene expression bioinformatics drug therapeuticsgeneralization boundsgroupshigh school MOOCsinference mechanismsinfluencelatent variable modelslearner engagementlearning analyticslearning theorymeta dataonline educationoptimisationoptimizationpotential mappingsprivacyprobabilistic modelingprobabilistic reasoning techniquesprobabilistic soft logicprobabilityprofessional networksschema mapping optimization problemsearchsensitive attribute inferencesocial mediasocial networkssplice-sitestatistical relational languagestructured predictionstudent learningtutorialuncertainty handlingweb

Export 304 results:

• BibTex

Author Title [ Year]

Filters: Author is Lise Getoor  [Clear All Filters]

2008

H. Kang, Getoor, L., Shneiderman, B., Bilgic, M., and Licamele, L., “Interactive Entity Resolution in Relational Data: A Visual Analytic Tool and Its Evaluation”, IEEE Transactions on Visualization and Computer Graphics, vol. 14, pp. 999–1014, 2008.

• Google Scholar
• BibTex

kang-tvcg08.pdf (3.63 MB)

M. Smith, Barash, V., Getoor, L., and Lauw, H., “Leveraging Social Context for Searching Social Media”, in CIKM Workshop on Search in Social Media, 2008.

• Google Scholar
• BibTex

T. Elsayed, Oard, D., Namata, G. Mark, and Getoor, L., “Personal Name Resolution in Email: A Heuristic Approach”. University of Maryland, College Park, 2008.

• Google Scholar
• BibTex

LAMP_150.pdf (397.61 KB)

E. Zheleva and Getoor, L., “Preserving the Privacy of Sensitive Relationships in Graph Data”, in Proceedings of the First SIGKDD International Workshop on Privacy, Security, and Trust in KDD (PinKDD 2007), 2008, vol. 4890, pp. 153-171.

• Google Scholar
• BibTex

T. Dietterich, Domingos, P., Getoor, L., Muggleton, S., and Tadepalli, P., “Structured machine learning: the next ten years”, Machine Learning, vol. 73, pp. 3–23, 2008.

• Google Scholar
• BibTex

E. Zheleva, Kolcz, A., and Getoor, L., “Trusting Spam Reporters: A Reporter-based Reputation System for Email Filtering”, ACM Transactions on Information Systems, vol. 27, 2008.

• Google Scholar
• BibTex

zheleva-tois08.pdf (447.31 KB)

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.

• Google Scholar
• BibTex

zheleva-snakdd08.pdf (656.31 KB)

2009

P. Sen, Deshpande, A., and Getoor, L., “Bisimulation-based Approximate Lifted Inference”, in Uncertainty in Artificial Intelligence, 2009.

• Google Scholar
• BibTex

uai09.pdf (240.89 KB)

J. Doppa, Yu, J., Tadepalli, P., and Getoor, L., “Chance-Constrained Programs for Link Prediction”, in NIPS Workshop on Analyzing Networks and Learning with Graphs, 2009.

• Google Scholar
• BibTex

doppa-nips09wkshp.pdf (161.38 KB)

E. Zheleva, Sharara, H., and Getoor, L., “Co-evolution of Social and Affiliation Networks”, in 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2009.

• Google Scholar
• BibTex

fp659-zheleva.pdf (900 KB)

G. Namata, Sen, P., Bilgic, M., and Getoor, L., Collective Classification for Text Classification, 1st ed., vol. 1. Taylor and Francis Group, 2009, p. 51--69.

• Google Scholar
• BibTex

namata-book09.pdf (4.35 MB)

M. Polymeropoulos, Licamele, L., Volpi, S., Mack, K., Mitkus, S., Carstea, E., Getoor, L., and Lavedan, C., “Common effect of antipsychotics on the biosynthesis and regulation of fatty acids and cholesterol supports a key role of lipid homeostasis in schizophrenia.”, Schizophrenia Research, 2009.

• Google Scholar
• BibTex

V. Barash, Smith, M., Getoor, L., and Welser, H., “Distinguishing Knowledge vs Social Capital in Social Media with Roles and Context”, in International Conference on Weblogs and Social Media, 2009.

• Google Scholar
• BibTex

barash-icwsm09.pdf (171.16 KB)

H. Sharara, Singh, L., Getoor, L., and Mann, J., “The Dynamics of Actor Loyalty to Groups in Affiliation Networks”, in International Conference on Advances in Social Networks Analysis and Mining, 2009.

• Google Scholar
• BibTex

sharara_asonam09.pdf (446.61 KB)

D. Chen, Bilgic, M., Getoor, L., and Jacobs, D., “Efficient Resource-constrained Retrospective Analysis of Long Video Sequences”, in NIPS Workshop on Adaptive Sensing, Active Learning and Experimental Design: Theory, Methods and Applications, 2009.

• Google Scholar
• BibTex

chen-nips09-wkshp.pdf (383.38 KB)

H. Sayyadi and Getoor, L., “Future Rank: Ranking Scientific Articles by Predicting their Future PageRank”, in 2009 SIAM International Conference on Data Mining (SDM09), 2009.

• Google Scholar
• BibTex

sayyadi_futureRank_sdm09.pdf (621.55 KB)

A. Deshpande, Getoor, L., and Sen, P., Graphical Models for Uncertain Data, 1st ed., vol. 1. Springer, 2009, p. 1--34.

• Google Scholar
• BibTex

deshpande-book09.pdf (570.7 KB)

G. Mark Namata and Getoor, L., “Identifying Graphs From Noisy and Incomplete Data”, in 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, 2009.

• Google Scholar
• BibTex

namatag-kddu09.pdf (241.7 KB)

K. Schnaitter, Polyzotis, N., and Getoor, L., “Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications”, in International Conference on Very Large Data Bases, 2009.

• Google Scholar
• BibTex

schnaitter-vldb09.pdf (743.29 KB)

M. Bilgic and Getoor, L., “Link-based Active Learning”, in NIPS Workshop on Analyzing Networks and Learning with Graphs, 2009.

• Google Scholar
• BibTex

mbilgic-nips09wkshp.pdf (116.35 KB)

B. Saha and Getoor, L., “On Maximum Coverage in the Streaming Model & Application to Multi-topic Blog-Watch”, in 2009 SIAM International Conference on Data Mining (SDM09), 2009.

• Google Scholar
• BibTex

saha-sdm08.pdf (233.12 KB)

S. Somasundaran, Namata, G. Mark, Getoor, L., and Wiebe, J., “Opinion Graphs for Polarity and Discourse Classification”, in TextGraphs-4: Graph-based Methods for Natural Language Processing, 2009.

• Google Scholar
• BibTex

somasundaran-textgraphs09.pdf (289.75 KB)

G. Mark Namata and Getoor, L., “A Pipeline Approach to Graph Identification”, in Seventh International Workshop on Mining and Learning with Graphs, 2009.

• Google Scholar
• BibTex

namatag-mlg09.pdf (93.77 KB)

P. Sen, Deshpande, A., and Getoor, L., “PrDB: Managing and Exploiting Rich Correlations in Probabilistic Databases”, VLDB Journal, special issue on uncertain and probabilistic databases, 2009.

• Google Scholar
• BibTex

sen-vldbj09.pdf (1.12 MB)

M. Broecheler and Getoor, L., “Probabilistic Similarity Logic”, in International Workshop on Statistical Relational Learning (SRL'09), 2009.

• Google Scholar
• BibTex

broecheler-srl09.pdf (176.13 KB)

M. Bilgic and Getoor, L., “Reflect and Correct: A Misclassification Prediction Approach to Active Inference”, ACM Transactions on Knowledge Discovery from Data, vol. 3, pp. 1–32, 2009.

• Google Scholar
• BibTex

bilgic-tkdd09.pdf (3.66 MB)

S. Somasundaran, Namata, G. Mark, Wiebe, J., and Getoor, L., “Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification”, in Conference on Empirical Methods in Natural Language Processing, 2009.

• Google Scholar
• BibTex

somasundaran-emnlp09.pdf (390.93 KB)

E. Zheleva and Getoor, L., “To Join or not to Join: The Illusion of Privacy in Social Networks with Mixed Public and Private User Profiles”, in 18th International World Wide Web conference (WWW), 2009.

• Google Scholar
• BibTex

fp660-zheleva.pdf (538.92 KB)

E. Zheleva and Getoor, L., “To Join or not to Join: The Illusion of Privacy in Social Networks with Mixed Public and Private User Profiles”, in The Web Conference (WWW), College Park, 2009.

• Google Scholar
• BibTex

zheleva-cs-tr4926.pdf (366.68 KB)

2010

G. Namata, Sharara, H., and Getoor, L., A Survey of Link Mining Tasks for Analyzing Noisy and Incomplete Networks, 1st ed., vol. 1. Springer, 2010, p. 107--133.

• Google Scholar
• BibTex

namata-book10.pdf (656.83 KB)

M. Bilgic and Getoor, L., “Active Inference for Collective Classification”, in Twenty-Fourth Conference on Artificial Intelligence (AAAI NECTAR Track), 2010, pp. 1652–1655.

• Google Scholar
• BibTex

bilgic-aaai10.pdf (387.53 KB)

H. Sharara, Getoor, L., and Norton, M., “An Active Learning Approach for Identifying Key Opinion Leaders”, in The 2nd Workshop on Information in Networks (WIN), 2010.

• Google Scholar
• BibTex

M. Bilgic, Mihalkova, L., and Getoor, L., “Active Learning for Networked Data”, in Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010.

• Google Scholar
• BibTex

bilgic-icml10.pdf (515.65 KB)

H. Sharara, Getoor, L., and Norton, M., “Active Surveying”, in NIPS Workshop on Networks Across Disciplines in Theory and Applications, 2010.

• Google Scholar
• BibTex

H. Sharara, Norton, M., and Getoor, L., “Active Surveying for Leadership Identification”, in The International Sunbelt Social Networks Conference XXX, 2010.

• Google Scholar
• BibTex

J. Pujara and Getoor, L., “Coarse-to-Fine, Cost-Sensitive Classification of E-Mail”, in NIPS Workshop on Coarse-to-Fine Processing, 2010.

• Google Scholar
• BibTex

pujara_nips10.pdf (258.86 KB)

P. Sen, Namata, G. Mark, Bilgic, M., and Getoor, L., “Collective Classification”, Encyclopedia of Machine Learning, 2010.

• Google Scholar
• BibTex

M. Broecheler and Getoor, L., “Computing marginal distributions over continuous Markov networks for statistical relational learning”, in Advances in Neural Information Processing Systems (NIPS), 2010.

• Google Scholar
• BibTex

broecheler-nips10.pdf (382.51 KB)

S. H. Bach, Broecheler, M., Kok, S., and Getoor, L., “Decision-Driven Models with Probabilistic Soft Logic”, in NIPS Workshop on Predictive Models in Personalized Medicine, 2010.

• Google Scholar
• BibTex

bach-pmpm10.pdf (246.79 KB)

H. Sharara and Getoor, L., “Group Detection”, Encyclopedia of Machine Learning, 2010.

• Google Scholar
• BibTex

A. Plangprasopchok, Lerman, K., and Getoor, L., “Growing a tree in the forest: constructing folksonomies by integrating structured metadata”, in ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010.

• Google Scholar
• BibTex

plang-kdd10.pdf (705.71 KB)

E. Zheleva, Getoor, L., and Sarawagi, S., “Higher-order Graphical Models for Classification in Social and Affiliation Networks”, in NIPS Workshop on Networks Across Disciplines: Theory and Applications, 2010.

• Google Scholar
• BibTex

zheleva-nips2010.pdf (200.43 KB)

L. Licamele and Getoor, L., “Indirect two-sided relative ranking: a robust similarity measure for gene expression data”, BMC Bioinformatics, 2010.

• Google Scholar
• BibTex

J. Doppa, Yu, J., Tadepalli, P., and Getoor, L., “Learning Algorithms for Link Prediction based on Chance Constraints”, in European Conference on Machine Learning (ECML), 2010.

• Google Scholar
• BibTex

doppa-ecml10.pdf (203 KB)

G. Mark Namata and Getoor, L., “Link Prediction”, Encyclopedia of Machine Learning, 2010.

• Google Scholar
• BibTex

H. Hwang, Lauw, H., Getoor, L., and Ntoulas, A., “Organizing User Search Histories”, IEEE Transactions on Knowledge and Data Engineering, 2010.

• Google Scholar
• BibTex

M. Broecheler, Mihalkova, L., and Getoor, L., “Probabilistic Similarity Logic”, in Conference on Uncertainty in Artificial Intelligence, 2010.

• Google Scholar
• BibTex

broecheler-uai10.pdf (399.54 KB)

P. Sen, Deshpande, A., and Getoor, L., “Read-Once Functions and Query Evaluation in Probabilistic Databases”, in International Conference on Very Large Data Bases, 2010.

• Google Scholar
• BibTex

draft.pdf (322 KB)

2011

C. Daozheng, Mustafa, B., Getoor, L., David, J., Lilyana, M., and Tom, Y., “Active Inference for Retrieval in Camera Networks”, in IEEE Workshop on Person-Oriented Vision, 2011.

• Google Scholar
• BibTex

chen-wpov11.pdf (1.53 MB)

S. Hossam, Getoor, L., and Myra, N., “Active Surveying: A Probabilistic Approach for Identifying Key Opinion Leaders”, in IJCAI, 2011.

• Google Scholar
• BibTex

sharara-ijcai11.pdf (349.39 KB)

Pages

• « first
• ‹ previous
• 1
• 2
• 3
• 4
• 5
• 6
• 7
• next ›
• last »

This site is maintained by: getoor@ucsc.edu

UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064

Copyright © 2020 The Regents of the University of California. All rights reserved.