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Lise Getoor
2010 – today
- 2013
[j43]Panagiotis Papadimitriou, Panayiotis Tsaparas, Ariel Fuxman, Lise Getoor: TACI: Taxonomy-Aware Catalog Integration. IEEE Trans. Knowl. Data Eng. 25(7): 1643-1655 (2013)- [c93]Shobeir Fakhraei, Louiqa Raschid, Lise Getoor: Drug-target interaction prediction for drug repurposing with probabilistic similarity logic. BIOKDD 2013: 10-17
- [c92]Yaojia Zhu, Xiaoran Yan, Lise Getoor, Cristopher Moore: Scalable text and link analysis with mixed-topic link models. KDD 2013: 473-481
- [c91]
- [c90]
- [c89]Lise Getoor: Probabilistic Soft Logic: A Scalable Approach for Markov Random Fields over Continuous-Valued Variables - (Abstract of Keynote Talk). RuleML 2013: 1
- [c88]Jeon-Hyung Kang, Kristina Lerman, Lise Getoor: LA-LDA: A Limited Attention Topic Model for Social Recommendation. SBP 2013: 211-220
- [c87]Bert Huang, Angelika Kimmig, Lise Getoor, Jennifer Golbeck: A Flexible Framework for Probabilistic Models of Social Trust. SBP 2013: 265-273
- [c86]Jay Pujara, Hui Miao, Lise Getoor, William Cohen: Knowledge Graph Identification. International Semantic Web Conference (1) 2013: 542-557
- [c85]Walaa Eldin Moustafa, Hui Miao, Amol Deshpande, Lise Getoor: GRDB: a system for declarative and interactive analysis of noisy information networks. SIGMOD Conference 2013: 1085-1088
- [i14]Jeon-Hyung Kang, Kristina Lerman, Lise Getoor: LA-LDA: A Limited Attention Topic Model for Social Recommendation. CoRR abs/1301.6277 (2013)
- [i13]Urszula Chajewska, Lise Getoor, Joseph Norman, Yuval Shahar: Utility Elicitation as a Classification Problem. CoRR abs/1301.7367 (2013)
- [i12]Ben London, Bert Huang, Lise Getoor: Graph-based Generalization Bounds for Learning Binary Relations. CoRR abs/1302.5348 (2013)
- [i11]Ben London, Theodoros Rekatsinas, Bert Huang, Lise Getoor: Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss. CoRR abs/1303.1733 (2013)
- [i10]Yaojia Zhu, Xiaoran Yan, Lise Getoor, Cristopher Moore: Scalable Text and Link Analysis with Mixed-Topic Link Models. CoRR abs/1303.7264 (2013)
- [i9]Walaa Eldin Moustafa, Angelika Kimmig, Amol Deshpande, Lise Getoor: Subgraph Pattern Matching over Uncertain Graphs with Identity Linkage Uncertainty. CoRR abs/1305.7006 (2013)
- [i8]Stephen H. Bach, Bert Huang, Ben London, Lise Getoor: Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction. CoRR abs/1309.6813 (2013)
- 2012
- [b1]Elena Zheleva, Evimaria Terzi, Lise Getoor: Privacy in Social Networks. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2012
- [j42]Lise Getoor, Ashwin Machanavajjhala: Entity Resolution: Theory, Practice & Open Challenges. PVLDB 5(12): 2018-2019 (2012)
- [j41]Heasoo Hwang, Hady Wirawan Lauw, Lise Getoor, Alexandros Ntoulas: Organizing User Search Histories. IEEE Trans. Knowl. Data Eng. 24(5): 912-925 (2012)
- [c84]Walaa Eldin Moustafa, Amol Deshpande, Lise Getoor: Ego-centric Graph Pattern Census. ICDE 2012: 234-245
- [c83]Stephen H. Bach, Matthias Broecheler, Lise Getoor, Dianne P. O'Leary: Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization. NIPS 2012: 2663-2671
- [c82]Alex Memory, Angelika Kimmig, Stephen H. Bach, Louiqa Raschid, Lise Getoor: Graph Summarization in Annotated Data Using Probabilistic Soft Logic. URSW 2012: 75-86
- [c81]Theodoros Rekatsinas, Amol Deshpande, Lise Getoor: Local structure and determinism in probabilistic databases. SIGMOD Conference 2012: 373-384
- [c80]Hossam Sharara, Lisa Singh, Lise Getoor, Janet Mann: Stability vs. Diversity: Understanding the Dynamics of Actors in Time-Varying Affiliation Networks. SocialInformatics 2012: 1-6
- [i7]Matthias Bröcheler, Lilyana Mihalkova, Lise Getoor: Probabilistic Similarity Logic. CoRR abs/1203.3469 (2012)
- [i6]Prithviraj Sen, Amol Deshpande, Lise Getoor: Bisimulation-based Approximate Lifted Inference. CoRR abs/1205.2616 (2012)
- 2011
- [j40]Mustafa Bilgic, Lise Getoor: Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition. J. Artif. Intell. Res. (JAIR) 41: 69-95 (2011)
- [j39]Louis Licamele, Lise Getoor: A Method for the Detection of Meaningful and Reproducible Group Signatures from Gene Expression Profiles. J. Bioinformatics and Computational Biology 9(3): 431-451 (2011)
- [j38]Daozheng Chen, Mustafa Bilgic, Lise Getoor, David W. Jacobs: Dynamic Processing Allocation in Video. IEEE Trans. Pattern Anal. Mach. Intell. 33(11): 2174-2187 (2011)
- [j37]Hossam Sharara, Lisa Singh, Lise Getoor, Janet Mann: Understanding actor loyalty to event-based groups in affiliation networks. Social Netw. Analys. Mining 1(2): 115-126 (2011)
- [c79]Jay Pujara, Hal Daumé III, Lise Getoor: Using classifier cascades for scalable e-mail classification. CEAS 2011: 55-63
- [c78]Walaa Eldin Moustafa, Galileo Namata, Amol Deshpande, Lise Getoor: Declarative analysis of noisy information networks. ICDE Workshops 2011: 106-111
- [c77]Steven Minton, Matthew Michelson, Kane See, Sofus A. Macskassy, Bora Gazen, Lise Getoor: Improving Classifier Performance by Autonomously Collecting Background Knowledge from the Web. ICMLA (1) 2011: 1-6
- [c76]Hossam Sharara, William Rand, Lise Getoor: Differential Adaptive Diffusion: Understanding Diversity and Learning whom to Trust in Viral Marketing. ICWSM 2011
- [c75]Hossam Sharara, Awalin Sopan, Galileo Namata, Lise Getoor, Lisa Singh: G-PARE: A visual analytic tool for comparative analysis of uncertain graphs. IEEE VAST 2011: 61-70
- [c74]Hossam Sharara, Lise Getoor, Myra Norton: Active Surveying: A Probabilistic Approach for Identifying Key Opinion Leaders. IJCAI 2011: 1485-1490
- [c73]
- [c72]Lise Getoor, Lilyana Mihalkova: Learning statistical models from relational data. SIGMOD Conference 2011: 1195-1198
- [c71]Lise Getoor, Lilyana Mihalkova: Exploiting statistical and relational information on the web and in social media. WSDM 2011: 9-10
- [c70]Matthew Michelson, Sofus A. Macskassy, Steven Minton, Lise Getoor: Materializing multi-relational databases from the web using taxonomic queries. WSDM 2011: 355-364
- [c69]Anon Plangprasopchok, Kristina Lerman, Lise Getoor: A probabilistic approach for learning folksonomies from structured data. WSDM 2011: 555-564
- [p1]Elena Zheleva, Lise Getoor: Privacy in Social Networks: A Survey. Social Network Data Analytics 2011: 277-306
- [e5]Lise Getoor, Tobias Scheffer (Eds.): Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011. Omnipress 2011
- [i5]
- [i4]
- 2010
- [j36]Eric Horvitz, Lise Getoor, Carlos Guestrin, James A. Hendler, Joseph A. Konstan, Devika Subramanian, Michael P. Wellman, Henry A. Kautz: AI Theory and Practice: A Discussion on Hard Challenges and Opportunities Ahead. AI Magazine 31(3): 103-114 (2010)
- [j35]Louis Licamele, Lise Getoor: Indirect two-sided relative ranking: a robust similarity measure for gene expression data. BMC Bioinformatics 11: 137 (2010)
- [j34]Prithviraj Sen, Amol Deshpande, Lise Getoor: Read-Once Functions and Query Evaluation in Probabilistic Databases. PVLDB 3(1): 1068-1079 (2010)
- [j33]Galileo Mark S. Namata Jr., Lise Getoor: Identifying graphs from noisy and incomplete data. SIGKDD Explorations 12(1): 33-39 (2010)
- [j32]Ulf Brefeld, Lise Getoor, Sofus A. Macskassy: Eighth workshop on mining and learning with graphs. SIGKDD Explorations 12(2): 63-65 (2010)
- [c68]
- [c67]Anon Plangprasopchok, Kristina Lerman, Lise Getoor: Constructing Folksonomies by Integrating Structured Metadata with Relational Clustering. Collaboratively-Built Knowledge Sources and AI 2010
- [c66]Anon Plangprasopchok, Kristina Lerman, Lise Getoor: Integrating Structured Metadata with Relational Affinity Propagation. Statistical Relational Artificial Intelligence 2010
- [c65]Louis Licamele, Lise Getoor: A Method for the Detection of Meaningful and Reproducible Group Signatures from Gene Expression Profiles. BIONETICS 2010: 387-401
- [c64]Mustafa Bilgic, Lilyana Mihalkova, Lise Getoor: Active Learning for Networked Data. ICML 2010: 79-86
- [c63]
- [c62]Anon Plangprasopchok, Kristina Lerman, Lise Getoor: Growing a tree in the forest: constructing folksonomies by integrating structured metadata. KDD 2010: 949-958
- [c61]Matthias Broecheler, Lise Getoor: Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning. NIPS 2010: 316-324
- [c60]Janardhan Rao Doppa, Jun Yu, Prasad Tadepalli, Lise Getoor: Learning Algorithms for Link Prediction Based on Chance Constraints. ECML/PKDD (1) 2010: 344-360
- [c59]
- [c58]Anon Plangprasopchok, Kristina Lerman, Lise Getoor: Constructing folksonomies by integrating structured metadata. WWW 2010: 1165-1166
- [r5]Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor: Collective Classification. Encyclopedia of Machine Learning 2010: 189-193
- [r4]Indrajit Bhattacharya, Lise Getoor: Entity Resolution. Encyclopedia of Machine Learning 2010: 321-326
- [r3]
- [r2]
- [r1]
- [i3]Anon Plangprasopchok, Kristina Lerman, Lise Getoor: Integrating Structured Metadata with Relational Affinity Propagation. CoRR abs/1005.4963 (2010)
- [i2]Anon Plangprasopchok, Kristina Lerman, Lise Getoor: Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata. CoRR abs/1005.5114 (2010)
- [i1]Anon Plangprasopchok, Kristina Lerman, Lise Getoor: A Probabilistic Approach for Learning Folksonomies from Structured Data. CoRR abs/1011.3557 (2010)
2000 – 2009
- 2009
- [j31]Karl Schnaitter, Neoklis Polyzotis, Lise Getoor: Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications. PVLDB 2(1): 1234-1245 (2009)
- [j30]Jian Pei, Lise Getoor, Ander de Keijzer: Summary of the first ACM SIGKDD workshop on knowledge discovery from uncertain data (U'09). SIGKDD Explorations 11(2): 90-91 (2009)
- [j29]Mustafa Bilgic, Lise Getoor: Reflect and correct: A misclassification prediction approach to active inference. TKDD 3(4) (2009)
- [j28]Prithviraj Sen, Amol Deshpande, Lise Getoor: PrDB: managing and exploiting rich correlations in probabilistic databases. VLDB J. 18(5): 1065-1090 (2009)
- [c57]Hossam Sharara, Lisa Singh, Lise Getoor, Janet Mann: The Dynamics of Actor Loyalty to Groups in Affiliation Networks. ASONAM 2009: 101-106
- [c56]Swapna Somasundaran, Galileo Namata, Janyce Wiebe, Lise Getoor: Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification. EMNLP 2009: 170-179
- [c55]Vladimir Barash, Marc A. Smith, Lise Getoor, Howard T. Welser: Distinguishing Knowledge vs Social Capital in Social Media with Roles and Context. ICWSM 2009
- [c54]Galileo Mark S. Namata Jr., Lise Getoor: Identifying graphs from noisy and incomplete data. KDD Workshop on Knowledge Discovery from Uncertain Data 2009: 23-29
- [c53]Elena Zheleva, Hossam Sharara, Lise Getoor: Co-evolution of social and affiliation networks. KDD 2009: 1007-1016
- [c52]Hassan Sayyadi, Lise Getoor: FutureRank: Ranking Scientific Articles by Predicting their Future PageRank. SDM 2009: 533-544
- [c51]Barna Saha, Lise Getoor: On Maximum Coverage in the Streaming Model & Application to Multi-topic Blog-Watch. SDM 2009: 697-708
- [c50]Swapna Somasundaran, Galileo Namata, Lise Getoor, Janyce Wiebe: Opinion Graphs for Polarity and Discourse Classification. Graph-based Methods for Natural Language Processing 2009: 66-74
- [c49]Prithviraj Sen, Amol Deshpande, Lise Getoor: Bisimulation-based Approximate Lifted Inference. UAI 2009: 496-505
- [c48]Elena Zheleva, Lise Getoor: To join or not to join: the illusion of privacy in social networks with mixed public and private user profiles. WWW 2009: 531-540
- [e4]Jian Pei, Lise Getoor, Ander de Keijzer (Eds.): Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, Paris, France, June 28, 2009. ACM 2009, ISBN 978-1-60558-675-5
- 2008
- [j27]Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, Tina Eliassi-Rad: Collective Classification in Network Data. AI Magazine 29(3): 93-106 (2008)
- [j26]Manfred Jaeger, Lise Getoor, Kristian Kersting: Preface. Ann. Math. Artif. Intell. 54(1-3): 1-2 (2008)
- [j25]Marie desJardins, Priyang Rathod, Lise Getoor: Learning Structured Bayesian Networks: Combining Abstraction Hierarchies and Tree-Structured Conditional Probability Tables. Computational Intelligence 24(1): 1-22 (2008)
- [j24]Prithviraj Sen, Lise Getoor: Cost-sensitive learning with conditional Markov networks. Data Min. Knowl. Discov. 17(2): 136-163 (2008)
- [j23]Thomas G. Dietterich, Pedro Domingos, Lise Getoor, Stephen Muggleton, Prasad Tadepalli: Structured machine learning: the next ten years. Machine Learning 73(1): 3-23 (2008)
- [j22]Prithviraj Sen, Amol Deshpande, Lise Getoor: Exploiting shared correlations in probabilistic databases. PVLDB 1(1): 809-820 (2008)
- [j21]Elena Zheleva, Aleksander Kolcz, Lise Getoor: Trusting spam reporters: A reporter-based reputation system for email filtering. ACM Trans. Inf. Syst. 27(1) (2008)
- [j20]Hyunmo Kang, Lise Getoor, Ben Shneiderman, Mustafa Bilgic, Louis Licamele: Interactive Entity Resolution in Relational Data: A Visual Analytic Tool and Its Evaluation. IEEE Trans. Vis. Comput. Graph. 14(5): 999-1014 (2008)
- [c47]Marc A. Smith, Vladimir Barash, Lise Getoor, Hady Wirawan Lauw: Leveraging social context for searching social media. SSM 2008: 91-94
- [c46]Mustafa Bilgic, Lise Getoor: Effective label acquisition for collective classification. KDD 2008: 43-51
- [c45]Elena Zheleva, Lise Getoor, Jennifer Golbeck, Ugur Kuter: Using Friendship Ties and Family Circles for Link Prediction. SNAKDD 2008: 97-113
- [e3]Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen Muggleton (Eds.): Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04. - 20.04.2007. Dagstuhl Seminar Proceedings 07161, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2008
- 2007
- [j19]Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur, Stephen M. Mount: Features generated for computational splice-site prediction correspond to functional elements. BMC Bioinformatics 8 (2007)
- [j18]Lisa Singh, Lise Getoor: Increasing the Predictive Power of Affiliation Networks. IEEE Data Eng. Bull. 30(2): 41-50 (2007)
- [j17]Indrajit Bhattacharya, Lise Getoor: Query-time Entity Resolution. J. Artif. Intell. Res. (JAIR) 30: 621-657 (2007)
- [j16]Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur, Stephen M. Mount: SplicePort - An interactive splice-site analysis tool. Nucleic Acids Research 35(Web-Server-Issue): 285-291 (2007)
- [j15]Hyunmo Kang, Lise Getoor, Lisa Singh: Visual analysis of dynamic group membership in temporal social networks. SIGKDD Explorations 9(2): 13-21 (2007)
- [j14]Indrajit Bhattacharya, Lise Getoor: Collective entity resolution in relational data. TKDD 1(1) (2007)
- [j13]Edward Hung, Lise Getoor, V. S. Subrahmanian: Probabilistic interval XML. ACM Trans. Comput. Log. 8(4) (2007)
- [c44]Christopher P. Diehl, Galileo Namata, Lise Getoor: Relationship Identification for Social Network Discovery. AAAI 2007: 546-552
- [c43]Mustafa Bilgic, Lise Getoor: VOILA: Efficient Feature-value Acquisition for Classification. AAAI 2007: 1225-1230
- [c42]
- [c41]Galileo Namata, Brian Staats, Lise Getoor, Ben Shneiderman: A dual-view approach to interactive network visualization. CIKM 2007: 939-942
- [c40]Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen Muggleton: 07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007
- [c39]Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur: Characterizing RNA Secondary-Structure Features and Their Effects on Splice-Site Prediction. ICDM Workshops 2007: 89-94
- [c38]Mustafa Bilgic, Galileo Namata, Lise Getoor: Combining Collective Classification and Link Prediction. ICDM Workshops 2007: 381-386
- [c37]Prithviraj Sen, Amol Deshpande, Lise Getoor: Representing Tuple and Attribute Uncertainty in Probabilistic Databases. ICDM Workshops 2007: 507-512
- [c36]Hyunmo Kang, Lise Getoor, Lisa Singh: C-GROUP: A Visual Analytic Tool for Pairwise Analysis of Dynamic Group Membership. IEEE VAST 2007: 211-212
- [c35]Hyunmo Kang, Vivek Sehgal, Lise Getoor: GeoDDupe: A Novel Interface for Interactive Entity Resolution in Geospatial Data. IV 2007: 489-496
- [c34]Lisa Singh, Mitchell Beard, Lise Getoor, M. Brian Blake: Visual Mining of Multi-Modal Social Networks at Different Abstraction Levels. IV 2007: 672-679
- [c33]Elena Zheleva, Lise Getoor: Preserving the Privacy of Sensitive Relationships in Graph Data. PinKDD 2007: 153-171
- [c32]
- [c31]
- [c30]Octavian Udrea, Lise Getoor, Renée J. Miller: Leveraging data and structure in ontology integration. SIGMOD Conference 2007: 449-460
- 2006
- [j12]Lise Getoor: An Introduction to Probabilistic Graphical Models for Relational Data. IEEE Data Eng. Bull. 29(1): 32-39 (2006)
- [j11]Indrajit Bhattacharya, Lise Getoor: Collective Entity Resolution In Relational Data. IEEE Data Eng. Bull. 29(2): 4-12 (2006)
- [j10]Lise Getoor, John Grant: PRL: A probabilistic relational language. Machine Learning 62(1-2): 7-31 (2006)
- [j9]Gregory Piatetsky-Shapiro, Chabane Djeraba, Lise Getoor, Robert Grossman, Ronen Feldman, Mohammed Javeed Zaki: What are the grand challenges for data mining?: KDD-2006 panel report. SIGKDD Explorations 8(2): 70-77 (2006)
- [c29]Vivek Sehgal, Lise Getoor, Peter Viechnicki: Entity resolution in geospatial data integration. GIS 2006: 83-90
- [c28]
- [c27]Prithviraj Sen, Lise Getoor: Cost-sensitive learning with conditional Markov networks. ICML 2006: 801-808
- [c26]Mustafa Bilgic, Louis Licamele, Lise Getoor, Ben Shneiderman: D-Dupe: An Interactive Tool for Entity Resolution in Social Networks. IEEE VAST 2006: 43-50
- [c25]
- [c24]Gregory Piatetsky-Shapiro, Robert Grossman, Chabane Djeraba, Ronen Feldman, Lise Getoor, Mohammed Javeed Zaki: Is there a grand challenge or X-prize for data mining? KDD 2006: 954-956
- [c23]Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur: A Feature Generation Algorithm for Sequences with Application to Splice-Site Prediction. PKDD 2006: 553-560
- [c22]Indrajit Bhattacharya, Lise Getoor: A Latent Dirichlet Model for Unsupervised Entity Resolution. SDM 2006
- [c21]Christopher P. Diehl, Lise Getoor, Galileo Namata: Name Reference Resolution in Organizational Email Archives. SDM 2006
- [e2]Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton (Eds.): Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January - 4. February 2005. Dagstuhl Seminar Proceedings 05051, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2006
- 2005
- [j8]Lise Getoor, Christopher P. Diehl: Introduction to the special issue on link mining. SIGKDD Explorations 7(2): 1-2 (2005)
- [j7]
- [c20]Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton: 05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis. Probabilistic, Logical and Relational Learning 2005
- [c19]Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton: 05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis. Probabilistic, Logical and Relational Learning 2005
- [c18]Marie desJardins, Priyang Rathod, Lise Getoor: Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence. ECML 2005: 485-496
- [c17]Mustafa Bilgic, Louis Licamele, Lise Getoor, Ben Shneiderman: D-Dupe: An Interactive Tool for Entity Resolution in Social Networks. Graph Drawing 2005: 505-507
- [c16]Lisa Singh, Lise Getoor, Louis Licamele: Pruning Social Networks Using Structural Properties and Descriptive Attributes. ICDM 2005: 773-776
- [c15]
- 2004
- [j6]Lise Getoor, Jeanne T. Rhee, Daphne Koller, Peter Small: Understanding tuberculosis epidemiology using structured statistical models. Artificial Intelligence in Medicine 30(3): 233-256 (2004)
- [j5]Andreas Hotho, York Sure, Lise Getoor: A workshop report: mining for and from the Semantic Web at KDD 2004. SIGKDD Explorations 6(2): 142-143 (2004)
- [c14]Indrajit Bhattacharya, Lise Getoor, Yoshua Bengio: Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models. ACL 2004: 287-294
- [c13]Indrajit Bhattacharya, Lise Getoor: Iterative record linkage for cleaning and integration. DMKD 2004: 11-18
- [c12]Kristina Lerman, Lise Getoor, Steven Minton, Craig A. Knoblock: Using the Structure of Web Sites for Automatic Segmentation of Tables. SIGMOD Conference 2004: 119-130
- 2003
- [j4]
- [j3]
- [c11]Edward Hung, Lise Getoor, V. S. Subrahmanian: PXML: A Probabilistic Semistructured Data Model and Algebra. ICDE 2003: 467-478
- [c10]
- [c9]
- [e1]Lise Getoor, Ted E. Senator, Pedro Domingos, Christos Faloutsos (Eds.): Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24 - 27, 2003. ACM 2003, ISBN 1-58113-737-0
- 2002
- [j2]Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar: Learning Probabilistic Models of Link Structure. Journal of Machine Learning Research 3: 679-707 (2002)
- 2001
- [j1]Yves Lespérance, Gerd Wagner, William P. Birmingham, Kurt D. Bollacker, Alexander Nareyek, J. Paul Walser, David W. Aha, Timothy W. Finin, Benjamin N. Grosof, Nathalie Japkowicz, Robert Holte, Lise Getoor, Carla P. Gomes, Holger H. Hoos, Alan C. Schultz, Miroslav Kubat, Tom M. Mitchell, Jörg Denzinger, Yolanda Gil, Karen L. Myers, Claudio Bettini, Angelo Montanari: AAAI 2000 Workshop Reports. AI Magazine 22(1): 127-136 (2001)
- [c8]Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar: Learning Probabilistic Models of Relational Structure. ICML 2001: 170-177
- [c7]Lise Getoor, Benjamin Taskar, Daphne Koller: Selectivity Estimation using Probabilistic Models. SIGMOD Conference 2001: 461-472
- 2000
- [c6]Marie desJardins, Lise Getoor, Daphne Koller: Using Feature Hierarchies in Bayesian Network Learning. SARA 2000: 260-270
- [c5]
1990 – 1999
- 1999
- [c4]Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer: Learning Probabilistic Relational Models. IJCAI 1999: 1300-1309
- 1998
- [c3]Urszula Chajewska, Lise Getoor, Joseph Norman, Yuval Shahar: Utility Elicitation as a Classification Problem. UAI 1998: 79-88
- 1997
- [c2]Lise Getoor, Greger Ottosson, Markus P. J. Fromherz, Björn Carlson: Effective Redundant Constraints for Online Scheduling. AAAI/IAAI 1997: 302-307
- 1995
- [c1]Amy L. Lansky, Lise Getoor: Scope and Abstraction: Two Criteria for Localized Planning. IJCAI 1995: 1612-1619
Coauthor Index
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last updated on 2013-10-17 21:27 CEST by the dblp team