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

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E
V. Embar, Farnadi, G., Pujara, J., and Getoor, L., Aligning Product Categories using Anchor Products, in Workshop on Knowledge Base Construction, Reasoning and Mining (KBCOM), 2018.PDF icon embar-kbcom18.pdf (577.65 KB)
V. Embar, Sridhar, D., Farnadi, G., and Getoor, L., Scalable Structure Learning for Probabilistic Soft Logic, in IJCAI Workshop on Statistical Relational AI (StarAI), 2018.PDF icon embar-starai18.pdf (400.23 KB)
V. Embar, Pujara, J., and Getoor, L., Collective Alignment of Large-scale Ontologies, in AKBC Workshop on Federated Knowledge Bases (FKBs), 2019.PDF icon embar-fkbs19.pdf (57.36 KB)
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)
V. Embar, Srinivasan, S., and Getoor, L., Estimating Aggregate Properties In Relational Networks With Unobserved Data, in AAAI Workshop on Statistical Relational Artificial Intelligence (StarAI), 2020.PDF icon embar-starai20.pdf (257.9 KB)
V. Embar, Sisman, B., Wei, H., Dong, X. Luna, Faloutsos, C., and Getoor, L., Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage, in Automated Knowledge Base Construction (AKBC), 2020.PDF icon embar-akbc20.pdf (499.49 KB)
T. Elsayed, Oard, D., Namata, G. Mark, and Getoor, L., Personal Name Resolution in Email: A Heuristic Approach. University of Maryland, College Park, 2008.PDF icon LAMP_150.pdf (397.61 KB)
T. Elsayed, Oard, D., and Namata, G. Mark, Resolving Personal Names in Email Using Context Expansion, in 46th Annual Meeting of the Association of Computational Linguistics, 2008, pp. 265–268.PDF icon elsayed-acl08.pdf (294.84 KB)
D
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.PDF icon doppa-ecml10.pdf (203 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.PDF icon doppa-nips09wkshp.pdf (161.38 KB)
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.
C. Diehl, Namata, G. Mark, and Getoor, L., Relationship Identification for Social Network Discovery, in AAAI '07: Proceedings of the 22nd National Conference on Artificial Intelligence, 2007.PDF icon diehl-aaai07.pdf (139.6 KB)
C. Diehl, Getoor, L., and Namata, G. Mark, Name Reference Resolution in Organizational Email Archives, in SIAM Conference on Data Mining (SDM), 2006.PDF icon diehlsdm06.pdf (971.2 KB)
A. Deshpande, Getoor, L., and Sen, P., Graphical Models for Uncertain Data, 1st ed., vol. 1. Springer, 2009, p. 1--34.PDF icon deshpande-book09.pdf (570.7 KB)
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.PDF icon chen-wpov11.pdf (1.53 MB)
C. Daozheng, Mustafa, B., Getoor, L., and David, J., Dynamic Processing Allocation in Video, PAMI, vol. 33, pp. 2174-2187, 2011.PDF icon chen-pami11.pdf (1.16 MB)
C
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.PDF icon chen-nips09-wkshp.pdf (383.38 KB)
J. Chang, Chen, R., Pujara, J., and Getoor, L., Clustering System Data using Aggregate Measures, in Machine Learning and Systems (MLSys), 2018.PDF icon chang-sysml18.pdf (299.32 KB)
U. Chajewska, Norman, J., and Getoor, L., Using Classi cation 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.
U. Chajewska, Getoor, L., Norman, J., and Shahar, Y., Utility Elicitation as a Classi cation Problem, in Uncertainty in Arti cial 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.
B
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.PDF icon broecheler-nips10.pdf (382.51 KB)
M. Broecheler, Mihalkova, L., and Getoor, L., Probabilistic Similarity Logic, in Conference on Uncertainty in Artificial Intelligence, 2010.PDF icon broecheler-uai10.pdf (399.54 KB)
M. Broecheler and Getoor, L., Probabilistic Similarity Logic, in International Workshop on Statistical Relational Learning (SRL'09), 2009.PDF icon broecheler-srl09.pdf (176.13 KB)
S. Bradley and Getoor, L., Topic Modeling for Wikipedia Link Disambiguation, ACM Transactions on Information Systems, vol. 32, 2014.
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.PDF icon bilgic11a.pdf (1.64 MB)
M. Bilgic and Getoor, L., Active Inference for Collective Classification, in Twenty-Fourth Conference on Artificial Intelligence (AAAI NECTAR Track), 2010, pp. 1652–1655.PDF icon bilgic-aaai10.pdf (387.53 KB)
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.PDF icon bilgic-icml10.pdf (515.65 KB)
M. Bilgic, Information Acquisition in Structured Domains, University of Maryland - College Park, 2010.PDF icon mbilgic-phdthesis.pdf (4.68 MB)
M. Bilgic and Getoor, L., Link-based Active Learning, in NIPS Workshop on Analyzing Networks and Learning with Graphs, 2009.PDF icon mbilgic-nips09wkshp.pdf (116.35 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.PDF icon bilgic-tkdd09.pdf (3.66 MB)
M. Bilgic and Getoor, L., Effective Label Acquisition for Collective Classification, in ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008, pp. 43–51.PDF icon bilgic-kdd08.pdf (758.14 KB)
M. Bilgic, Namata, G. Mark, and Getoor, L., Combining Collective Classification and Link Prediction, in Workshop on Mining Graphs and Complex Structures at the IEEE International Conference on Data Mining (ICDM-2007), 2007.PDF icon mgcs07.pdf (105.13 KB)
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.PDF icon bilgic-aaai07.pdf (220.47 KB)
M. Bilgic, Licamele, L., Getoor, L., and Shneiderman, B., D-Dupe: An Interactive Tool for Entity Resolution in Social Networks, in Visual Analytics Science and Technology (VAST), Baltimore, 2006.
M. Bilgic, Licamele, L., Getoor, L., and Shneiderman, B., D-Dupe: An Interactive Tool for Entity Resolution in Social Networks, in International Symposium on Graph Drawing, 2005, vol. 3843, pp. 505–507.PDF icon ddupe.pdf (224.93 KB)
I. Bhattacharya and Getoor, L., Collective Relational Clustering, 1st ed., vol. 1. Chapman and Hall, 2008, pp. 221-244.PDF icon bhattacharya-book08.pdf (10.39 MB)
I. Bhattacharya and Getoor, L., Collective Entity Resolution In Relational Data, ACM Transactions on Knowledge Discovery from Data, vol. 1, pp. 1-36, 2007.PDF icon bhattacharya-tkdd.pdf (346.13 KB)
I. Bhattacharya and Getoor, L., Online Collective Entity Resolution, in The 22nd National Conference on Artificial Intelligence (NECTAR Track), 2007.PDF icon nectar07.pdf (395.24 KB)
I. Bhattacharya and Getoor, L., Query-time Entity Resolution, Journal of Artificial Intelligence Research (JAIR), vol. 30, pp. 621–657, 2007.PDF icon bhattacharya07a.pdf (309.63 KB)
I. Bhattacharya and Getoor, L., A Latent Dirichlet Model for Unsupervised Entity Resolution, in SIAM Conference on Data Mining (SDM), 2006.PDF icon bhattacharyasdm06.pdf (209.24 KB)
I. Bhattacharya, Collective Entity Resolution In Relational Data, University of Maryland, College Park, 2006.PDF icon thesis.pdf (761.21 KB)
I. Bhattacharya and Getoor, L., Collective Entity Resolution in Relational Data, Data Engineering Bulletin, vol. 29, 2006.
I. Bhattacharya and Getoor, L., Entity Resolution in Social Networks, in International Sunbelt Social Network Conference (Sunbelt XXVI), 2006.
I. Bhattacharya and Getoor, L., Entity Resolutions in Graphs, 1st ed., vol. 1. Wiley, 2006, p. 311--344.PDF icon bhattacharya-book06.pdf (482.5 KB)
I. Bhattacharya, Licamele, L., and Getoor, L., Query-Time Entity Resolution, in ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006.PDF icon kdd06.pdf (183.45 KB)
I. Bhattacharya, Licamele, L., and Getoor, L., Relational Clustering for Entity Resolution Queries, in ICML Workshop on Statistical Relational Learning (SRL), 2006.PDF icon bhattacharyaicml06-wkshp.pdf (195.79 KB)
I. Bhattacharya and Getoor, L., Relational Clustering for Multi-type Entity Resolution, in ACM SIGKDD Workshop on Multi Relational Data Mining (MRDM), 2005.PDF icon bhattacharyakdd05-whskp.pdf (259.82 KB)
I. Bhattacharya and Getoor, L., Deduplication and Group Detection using Links, in ACM SIGKDD Workshop on Link Analysis and Group Detection (LinkKDD), 2004.PDF icon bhattacharyakdd04-whskp.pdf (231.67 KB)

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