| 2008 |
|---|
| 61 | | Luc De Raedt,
Thomas G. Dietterich,
Lise Getoor,
Kristian Kersting,
Stephen Muggleton:
Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04. - 20.04.2007
Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2008 |
| 2007 |
|---|
| 60 | | Mustafa Bilgic,
Lise Getoor:
VOILA: Efficient Feature-value Acquisition for Classification.
AAAI 2007: 1225-1230 |
| 59 | | Indrajit Bhattacharya,
Lise Getoor:
Online Collective Entity Resolution.
AAAI 2007: 1606-1609 |
| 58 | | Christopher P. Diehl,
Galileo Namata,
Lise Getoor:
Relationship Identification for Social Network Discovery.
AAAI 2007: 546-552 |
| 57 | EE | Galileo Namata,
Brian Staats,
Lise Getoor,
Ben Shneiderman:
A dual-view approach to interactive network visualization.
CIKM 2007: 939-942 |
| 56 | EE | Mustafa Bilgic,
Galileo Namata,
Lise Getoor:
Combining Collective Classification and Link Prediction.
ICDM Workshops 2007: 381-386 |
| 55 | EE | Prithviraj Sen,
Amol Deshpande,
Lise Getoor:
Representing Tuple and Attribute Uncertainty in Probabilistic Databases.
ICDM Workshops 2007: 507-512 |
| 54 | EE | 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 |
| 53 | EE | Hyunmo Kang,
Vivek Sehgal,
Lise Getoor:
GeoDDupe: A Novel Interface for Interactive Entity Resolution in Geospatial Data.
IV 2007: 489-496 |
| 52 | EE | Lisa Singh,
Mitchell Beard,
Lise Getoor,
M. Brian Blake:
Visual Mining of Multi-Modal Social Networks at Different Abstraction Levels.
IV 2007: 672-679 |
| 51 | EE | Lise Getoor:
Graph Identification.
MLG 2007 |
| 50 | EE | 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 |
| 49 | EE | Octavian Udrea,
Lise Getoor,
Renée J. Miller:
Leveraging data and structure in ontology integration.
SIGMOD Conference 2007: 449-460 |
| 48 | EE | Edward Hung,
Lise Getoor,
V. S. Subrahmanian:
Probabilistic interval XML.
ACM Trans. Comput. Log. 8(4): (2007) |
| 47 | EE | Lisa Singh,
Lise Getoor:
Increasing the Predictive Power of Affiliation Networks.
IEEE Data Eng. Bull. 30(2): 41-50 (2007) |
| 46 | EE | Indrajit Bhattacharya,
Lise Getoor:
Query-time Entity Resolution.
J. Artif. Intell. Res. (JAIR) 30: 621-657 (2007) |
| 45 | EE | 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) |
| 44 | EE | Hyunmo Kang,
Lise Getoor,
Lisa Singh:
Visual analysis of dynamic group membership in temporal social networks.
SIGKDD Explorations 9(2): 13-21 (2007) |
| 43 | EE | Indrajit Bhattacharya,
Lise Getoor:
Collective entity resolution in relational data.
TKDD 1(1): (2007) |
| 2006 |
|---|
| 42 | | Luc De Raedt,
Thomas G. Dietterich,
Lise Getoor,
Stephen Muggleton:
Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January - 4. February 2005
Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2006 |
| 41 | EE | Vivek Sehgal,
Lise Getoor,
Peter Viechnicki:
Entity resolution in geospatial data integration.
GIS 2006: 83-90 |
| 40 | EE | Louis Licamele,
Lise Getoor:
Social Capital in Friendship-Event Networks.
ICDM 2006: 959-964 |
| 39 | EE | Prithviraj Sen,
Lise Getoor:
Cost-sensitive learning with conditional Markov networks.
ICML 2006: 801-808 |
| 38 | EE | Indrajit Bhattacharya,
Lise Getoor,
Louis Licamele:
Query-time entity resolution.
KDD 2006: 529-534 |
| 37 | EE | 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 |
| 36 | EE | Rezarta Islamaj Dogan,
Lise Getoor,
W. John Wilbur:
A Feature Generation Algorithm for Sequences with Application to Splice-Site Prediction.
PKDD 2006: 553-560 |
| 35 | EE | Indrajit Bhattacharya,
Lise Getoor:
A Latent Dirichlet Model for Unsupervised Entity Resolution.
SDM 2006 |
| 34 | EE | Christopher P. Diehl,
Lise Getoor,
Galileo Namata:
Name Reference Resolution in Organizational Email Archives.
SDM 2006 |
| 33 | EE | Lise Getoor:
An Introduction to Probabilistic Graphical Models for Relational Data.
IEEE Data Eng. Bull. 29(1): 32-39 (2006) |
| 32 | EE | Indrajit Bhattacharya,
Lise Getoor:
Collective Entity Resolution In Relational Data.
IEEE Data Eng. Bull. 29(2): 4-12 (2006) |
| 31 | EE | Lise Getoor,
John Grant:
PRL: A probabilistic relational language.
Machine Learning 62(1-2): 7-31 (2006) |
| 30 | EE | 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) |
| 2005 |
|---|
| 29 | EE | Marie desJardins,
Priyang Rathod,
Lise Getoor:
Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence.
ECML 2005: 485-496 |
| 28 | EE | Mustafa Bilgic,
Louis Licamele,
Lise Getoor,
Ben Shneiderman:
D-Dupe: An Interactive Tool for Entity Resolution in Social Networks.
Graph Drawing 2005: 505-507 |
| 27 | EE | Lisa Singh,
Lise Getoor,
Louis Licamele:
Pruning Social Networks Using Structural Properties and Descriptive Attributes.
ICDM 2005: 773-776 |
| 26 | EE | Lise Getoor:
Tutorial on Statistical Relational Learning.
ILP 2005: 415 |
| 25 | EE | 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 |
| 24 | EE | 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 |
| 23 | EE | Lise Getoor,
Christopher P. Diehl:
Introduction to the special issue on link mining.
SIGKDD Explorations 7(2): 1-2 (2005) |
| 22 | EE | Lise Getoor,
Christopher P. Diehl:
Link mining: a survey.
SIGKDD Explorations 7(2): 3-12 (2005) |
| 2004 |
|---|
| 21 | EE | Indrajit Bhattacharya,
Lise Getoor,
Yoshua Bengio:
Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models.
ACL 2004: 287-294 |
| 20 | EE | Indrajit Bhattacharya,
Lise Getoor:
Iterative record linkage for cleaning and integration.
DMKD 2004: 11-18 |
| 19 | EE | 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 |
| 18 | EE | 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) |
| 17 | EE | 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) |
| 2003 |
|---|
| 16 | | Lise Getoor,
Ted E. Senator,
Pedro Domingos,
Christos Faloutsos:
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24 - 27, 2003
ACM 2003 |
| 15 | EE | Edward Hung,
Lise Getoor,
V. S. Subrahmanian:
PXML: A Probabilistic Semistructured Data Model and Algebra.
ICDE 2003: 467- |
| 14 | EE | Edward Hung,
Lise Getoor,
V. S. Subrahmanian:
Probabilistic Interval XML.
ICDT 2003: 358-374 |
| 13 | | Qing Lu,
Lise Getoor:
Link-based Classification.
ICML 2003: 496-503 |
| 12 | EE | Lise Getoor:
Learning Structure From Statistical Models.
IEEE Data Eng. Bull. 26(3): 11-18 (2003) |
| 11 | EE | Lise Getoor:
Link mining: a new data mining challenge.
SIGKDD Explorations 5(1): 84-89 (2003) |
| 2002 |
|---|
| 10 | EE | Lise Getoor,
Nir Friedman,
Daphne Koller,
Benjamin Taskar:
Learning Probabilistic Models of Link Structure.
Journal of Machine Learning Research 3: 679-707 (2002) |
| 2001 |
|---|
| 9 | | Lise Getoor,
Nir Friedman,
Daphne Koller,
Benjamin Taskar:
Learning Probabilistic Models of Relational Structure.
ICML 2001: 170-177 |
| 8 | EE | Lise Getoor,
Benjamin Taskar,
Daphne Koller:
Selectivity Estimation using Probabilistic Models.
SIGMOD Conference 2001: 461-472 |
| 7 | | 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) |
| 2000 |
|---|
| 6 | EE | Marie desJardins,
Lise Getoor,
Daphne Koller:
Using Feature Hierarchies in Bayesian Network Learning.
SARA 2000: 260-270 |
| 5 | EE | Lise Getoor:
Learning Probabilistic Relational Models.
SARA 2000: 322-323 |
| 1999 |
|---|
| 4 | | Nir Friedman,
Lise Getoor,
Daphne Koller,
Avi Pfeffer:
Learning Probabilistic Relational Models.
IJCAI 1999: 1300-1309 |
| 1998 |
|---|
| 3 | EE | Urszula Chajewska,
Lise Getoor,
Joseph Norman,
Yuval Shahar:
Utility Elicitation as a Classification Problem.
UAI 1998: 79-88 |
| 1997 |
|---|
| 2 | | Lise Getoor,
Greger Ottosson,
Markus P. J. Fromherz,
Björn Carlson:
Effective Redundant Constraints for Online Scheduling.
AAAI/IAAI 1997: 302-307 |
| 1995 |
|---|
| 1 | | Amy L. Lansky,
Lise Getoor:
Scope and Abstraction: Two Criteria for Localized Planning.
IJCAI 1995: 1612-1619 |
