LINQS

STATISTICAL RELATIONAL LEARNING GROUP @ UMD



 

LINQS publications

Author: Title: Year:

Display:   Include master thesis, manuals...

204 publications
1   2   3   4   5   6   7   8   9   10   11  
 
Publications in 2013
A Flexible Framework for Probabilistic Models of Social Trust   huang-sbp13-lncs-proof.pdf   [Bibtex]
Bert Huang, Angelika Kimmig, Lise Getoor, Jennifer Golbeck
The 2013 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP 2013) - 2013
Collective Activity Detection using Hinge-loss Markov Random Fields   london-cvpr13.pdf   [Bibtex]
Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, Larry Davis
CVPR Workshop on Structured Prediction: Tractability, Learning and Inference - 2013
Collective Stability in Structured Prediction: Generalization from One Example   london-icml13-long.pdf   [Bibtex]
Ben London, Bert Huang, Benjamin Taskar, Lise Getoor
Proceedings of the 30th International Conference on Machine Learning (ICML-13) - 2013
Empirical Analysis of Collective Stability   huang-slg13.pdf   [Bibtex]
Bert Huang, Ben London, Benjamin Taskar, Lise Getoor
ICML Workshop on Structured Learning (SLG) - 2013
Graph-based Generalization Bounds for Learning Binary Relations   br_risk_bounds.pdf   [Bibtex]
Ben London, Bert Huang, Lise Getoor
Technical Report , University of Maryland College Park - 2013
Note: http://arxiv.org/abs/1302.5348  
GrDB: A System for Declarative and Interactive Analysis of Noisy Information Networks     [Bibtex]
Walaa Eldin Moustafa, Hui Miao, Amol Deshpande, Lise Getoor
ACM SIGMOD Conference - 2013
Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction   bach-uai13.pdf   [Bibtex]
Stephen H. Bach, Bert Huang, Ben London, Lise Getoor
Uncertainty in Artificial Intelligence - 2013
Joint Judgments with a Budget: Strategies for Reducing the Cost of Inference   pujara_wtbudg13.pdf   [Bibtex]
Jay Pujara, Hui Miao, Lise Getoor
ICML Workshop on Machine Learning with Test-Time Budgets - 2013
LA-LDA: A Limited Attention Topic Model for Social Recommendation   kang-sbp13.pdf   [Bibtex]
Jeonhyung Kang, Kristina Lerman, Lise Getoor
The 2013 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP 2013) - 2013
Large-Scale Knowledge Graph Identification using PSL   pujara_slg13.pdf   [Bibtex]
Jay Pujara, Hui Miao, Lise Getoor, William Cohen
ICML Workshop on Structured Learning (SLG) - 2013
Learning Latent Groups with Hinge-loss Markov Random Fields   bach-inferning13.pdf   [Bibtex]
Stephen H. Bach, Bert Huang, Lise Getoor
Inferning: ICML Workshop on Interactions between Inference and Learning - 2013
Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss   mrwtd.pdf   [Bibtex]
Ben London, Theodoros Rekatsinas, Bert Huang, Lise Getoor
Technical Report , University of Maryland College Park - 2013
Note: http://arxiv.org/abs/1303.1733  
 
Publications in 2012
A Short Introduction to Probabilistic Soft Logic   psl_pp12.pdf   [Bibtex]
Angelika Kimmig, Stephen H. Bach, Matthias Broecheler, Bert Huang, Lise Getoor
NIPS Workshop on Probabilistic Programming: Foundations and Applications - 2012
Ego-centric Graph Pattern Census   moustafaicde.pdf   [Bibtex]
Walaa Eldin Moustafa, Amol Deshpande, Lise Getoor
International Conference on Data Engineering (ICDE) - 2012
Entity Resolution for Social Network Analysis and Mining     [Bibtex]
Lise Getoor, Ashwin Machanavajjhala
IEEE ACM International Conference on Advances in Social Networks Analysis and Mining - 2012
Note: URL: http://www.cs.umd.edu/~getoor/Tutorials/ER_ASONAM2012.pdf  
Entity Resolution: Theory, Practice & Open Challenges   p2018_lisegetoor_vldb2012.pdf   [Bibtex]
Lise Getoor, Ashwin Machanavajjhala
International Conference on Very Large Data Bases - 2012
Note: Slides: http://www.cs.umd.edu/~getoor/Tutorials/ER_VLDB2012.pdf  
Entity Resolution: Theory, Practice, and Open Challenges     [Bibtex]
Lise Getoor, Ashwin Machanavajjhala
AAAI Conference on Artificial Intelligence - 2012
Note: URL: http://www.cs.umd.edu/projects/linqs/Tutorials/ER-AAAI12/Home.html  
Finding Prominent Actors in Dynamic Affiliation Networks   105-204-1-SM.pdf   [Bibtex]
Hossam Sharara, Lisa Singh, Lise Getoor
Human Journal - 2012
Note: Best Paper Award in ASE Conference 2012  
Graph Summarization in Annotated Data Using Probabilistic Soft Logic   mrc_iswc12_ws.pdf   [Bibtex]
Alex Memory, Angelika Kimmig, Stephen H. Bach, Louiqa Raschid, Lise Getoor
Proceedings of the International Workshop on Uncertainty Reasoning for the Semantic Web (URSW) - 2012
Improved Generalization Bounds for Large-scale Structured Prediction   london-nips12ws.pdf   [Bibtex]
Ben London, Bert Huang, Lise Getoor
NIPS Workshop on Algorithmic and Statistical Approaches for Large Social Networks - 2012
Large-Scale Hierarchical Topic Models   pujara_biglearn12.pdf   [Bibtex]
Jay Pujara, Peter Skomoroch
NIPS Workshop on Big Learning - 2012
Local Structure and Determinism in Probabilistic Databases   sigmod_AAC2012.pdf   [Bibtex]
Theodoros Rekatsinas, Amol Deshpande, Lise Getoor
ACM SIGMOD Conference - 2012
Multi-relational Weighted Tensor Decomposition   london-nips12ws-mrwtd.pdf   [Bibtex]
Ben London, Theodoros Rekatsinas, Bert Huang, Lise Getoor
NIPS Workshop on Spectral Learning - 2012
Privacy in Social Networks   zheleva_morganclaypool12.html   [Bibtex]
Elena Zheleva, Evimaria Terzi, Lise Getoor
Morgan & Claypool Publishers - 2012
Probabilistic Soft Logic for Trust Analysis in Social Networks   huang-starai12.pdf   [Bibtex]
Bert Huang, Angelika Kimmig, Lise Getoor, Jennifer Golbeck
International Workshop on Statistical Relational Artificial Intelligence (StaRAI 2012) - 2012
Query-driven Active Surveying for Collective Classification   namata-mlg12.pdf   [Bibtex]
Galileo Mark Namata, Ben London, Lise Getoor, Bert Huang
Workshop on Mining and Learning with Graphs - 2012
Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization   bach-nips12.pdf   [Bibtex]
Stephen H. Bach, Matthias Broecheler, Lise Getoor, Dianne P. O'Leary
Advances in Neural Information Processing Systems (NIPS), page 2663--2671 - 2012
Social Group Modeling with Probabilistic Soft Logic   huang-social2012.pdf   [Bibtex]
Bert Huang, Stephen H. Bach, Eric Norris, Jay Pujara, Lise Getoor
NIPS 2012 Workshop - Social Network and Social Media Analysis: Methods, Models, and Applications - 2012
Stability vs. Diversity: Understanding the Dynamics of Actors in Time-varying Affiliation Networks   stability.pdf   [Bibtex]
Hossam Sharara, Lisa Singh, Lise Getoor, Janet Mann
ASE International Conference on Social Informatics - 2012
TACI: Taxonomy-Aware Catalog Integration   getoortkde12.pdf   [Bibtex]
Panagiotis Papadimitriou, Panayiotis Tsaparas, Ariel Fuxman, Lise Getoor
IEEE Transactions on Knowledge and Data Engineering - 2012
User Role Prediction in Online Discussion Forums using Probabilistic Soft Logic   Arti_nips_2012_final_version_1.pdf   [Bibtex]
Arti Ramesh, Jaebong Yoo, Shitian Shen, Lise Getoor, Jihie Kim
Misc - dec 2012
 
Publications in 2011
A method for the detection of meaningful and reproducible group signatures from gene expression profiles.     [Bibtex]
Louis Licamele, Lise Getoor
Journal of Bioinformatics and Computational Biology - 2011
A Probabilistic Approach for Learning Folksonomies from Structured Data   wsdm169m_plangprasopchok.pdf   [Bibtex]
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
Fourth ACM International Conference on Web Search and Data Mining (WSDM) - 2011
Active Inference for Retrieval in Camera Networks   chen-wpov11.pdf   [Bibtex]
Daozheng Chen, Mustafa Bilgic, Lise Getoor, David Jacobs, Lilyana Mihalkova, Tom Yeh
Workshop on Person Oriented Vision - 2011
Active Surveying: A Probabilistic Approach for Identifying Key Opinion Leaders   sharara_paper736.pdf   [Bibtex]
Hossam Sharara, Lise Getoor, Myra Norton
The 22nd International Joint Conference on Artificial Intelligence (IJCAI '11) - 2011
Collective Graph Identification   namata-kdd11.pdf   [Bibtex]
Galileo Mark Namata, Stanley Kok, Lise Getoor
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - 2011
Declarative Analysis of Noisy Information Networks   moustafa-gdm11.pdf   [Bibtex]
Walaa Eldin Moustafa, Galileo Mark Namata, Amol Deshpande, Lise Getoor
ICDE Workshop on Graph Data Management: Techniques and Applications - 2011
Differential Adaptive Diffusion: Understanding Diversity and Learning whom to Trust in Viral Marketing   adaptive_cascade_model.pdf   [Bibtex]
Hossam Sharara, William Rand, Lise Getoor
The Fifth International AAAI Conference on Weblogs and Social Media - 2011
Dynamic Processing Allocation in Video     [Bibtex]
Daozheng Chen, Mustafa Bilgic, Lise Getoor, David Jacobs
IEEE Transactions on Pattern Analysis and Machine Intelligence , Volume 33, Number 11, page 2174-2187 - 2011
Exploiting Statistical and Relational Information on the Web and in Social Media     [Bibtex]
Lise Getoor, Lilyana Mihalkova
Misc - 2011
Note: Tutorial webpage: http://www.cs.umd.edu/projects/linqs/Tutorials/SDM11/Home.html  
G-PARE: A Visual Analytic Tool for Comparative Analysis of Uncertain Graphs   sharara-vast11.pdf   [Bibtex]
Hossam Sharara, Awalin Sopan, Galileo Mark Namata, Lise Getoor, Lisa Singh
IEEE Conference on Visual Analytics Science and Technology (VAST) - 2011
Improving Classifier Performance by Autonomously Collecting Background Knowledge from the Web   minton-icmla2011.pdf   [Bibtex]
Steve Minton, Matthew Michelson, Kane See, Sofus Macskassy, Bora C. Gazen, Lise Getoor
Tenth International Conference on Machine Learning and Applications - 2011
Learning to Predict Web Collaborations   mihalkova-wikiCollabs.pdf   [Bibtex]
Lilyana Mihalkova, Walaa Eldin Moustafa, Lise Getoor
WSDM Workshop on User Modeling for Web Applications - 2011
Lifted Graphical Models: A Survey   1107.4966v2.pdf   [Bibtex]
Lilyana Mihalkova, Lise Getoor
Misc - 2011
Note: Arxiv preprint arXiv:1107.4966v2  
Multi-dimensional Trajectory Analysis for Career Histories     [Bibtex]
Hossam Sharara, Daniel Halgin, Lise Getoor, Steve Borgatti
International Sunbelt Social Networks Conference (Sunbelt XXXI) - 2011
Prediction, Evolution and Privacy in Social and Affiliation Networks   zheleva-phdthesis11.pdf   [Bibtex]
Elena Zheleva
PhD thesis from University of Maryland College Park - July 2011
Privacy in Social Networks: a Survey     [Bibtex]
Elena Zheleva, Lise Getoor
Social Network Data Analytics, Springer, page 247--276 - March 2011
Proceedings of the 28th International Conference on Machine Learning     [Bibtex]
Lise Getoor, Tobias Scheffer
Proceedings of the 28th International Conference on Machine Learning - 2011
Reducing Label Cost by Combining Feature Labels and Crowdsourcing   clsicml_pujara_london.pdf   [Bibtex]
Jay Pujara, Ben London, Lise Getoor
ICML Workshop on Combining Learning Strategies to Reduce Label Cost - 2011
Understanding Actor Loyalty to Event-Based Groups in Affiliation Networks     [Bibtex]
Hossam Sharara, Lisa Singh, Lise Getoor, Janet Mann
Journal of Advances in Social Networks Analysis and Mining, Volume 1, Number 2, page 115--126 - April 2011
Using Classifier Cascades for Scalable E-Mail Classification   pujara_ceas2011_camera.pdf   [Bibtex]
Jay Pujara, Hal Daume III, Lise Getoor
Collaboration, Electronic Messaging, Anti-Abuse and Spam Conference - 2011
Note: Winner of a Best Paper award  
Value of Information Lattice: Exploiting Probabilistic Independence for E ffective Feature Subset Acquisition   bilgic11a.pdf   [Bibtex]
Mustafa Bilgic, Lise Getoor
Journal of Artificial Intelligence Research (JAIR), Volume 41, page 69--95 - 2011
 
Publications in 2010
A Survey of Link Mining Tasks for Analyzing Noisy and Incomplete Networks     [Bibtex]
Galileo Mark Namata, Hossam Sharara, Lise Getoor
Link Mining: Models, Algorithms, and Applications, Springer - 2010
Active Inference for Collective Classification   bilgic-aaai10.pdf   [Bibtex]
Mustafa Bilgic, Lise Getoor
Twenty-Fourth Conference on Artificial Intelligence (AAAI NECTAR Track), page 1652--1655 - 2010
Active Learning for Networked Data   bilgic-icml10.pdf   [Bibtex]
Mustafa Bilgic, Lilyana Mihalkova, Lise Getoor
Proceedings of the 27th International Conference on Machine Learning (ICML-10) - 2010
Active Surveying   active_survey.pdf   [Bibtex]
Hossam Sharara, Lise Getoor, Myra Norton
NIPS Workshop on Networks Across Disciplines in Theory and Applications - 2010
Active Surveying for Leadership Identification     [Bibtex]
Hossam Sharara, Myra Norton, Lise Getoor
The International Sunbelt Social Networks Conference XXX - 2010
An Active Learning Approach for Identifying Key Opinion Leaders     [Bibtex]
Hossam Sharara, Lise Getoor, Myra Norton
The 2nd Workshop on Information in Networks (WIN) - 2010
Coarse-to-Fine, Cost-Sensitive Classification of E-Mail   pujara_nips10.pdf   [Bibtex]
Jay Pujara, Lise Getoor
NIPS Workshop on Coarse-to-Fine Processing - 2010
Collective Classification     [Bibtex]
Prithviraj Sen, Galileo Mark Namata, Mustafa Bilgic, Lise Getoor
Encyclopedia of Machine Learning - 2010
Computing marginal distributions over continuous Markov networks for statistical relational learning   broecheler-nips10.pdf   [Bibtex]
Matthias Broecheler, Lise Getoor
Advances in Neural Information Processing Systems (NIPS) - 2010
Decision-Driven Models with Probabilistic Soft Logic   bach-pmpm10.pdf   [Bibtex]
Stephen H. Bach, Matthias Broecheler, Stanley Kok, Lise Getoor
NIPS Workshop on Predictive Models in Personalized Medicine - 2010
Exploiting Statistical & Relational Information on the Web and in Social Media: Applications, Techniques, and New Frontiers     [Bibtex]
Lise Getoor, Lilyana Mihalkova
Misc - 2010
Note: URL: http://www.cs.umd.edu/projects/linqs/Tutorials/SRL-Web-AAAI10/Home.html  
Group Detection     [Bibtex]
Hossam Sharara, Lise Getoor
Encyclopedia of Machine Learning - 2010
Growing a tree in the forest: constructing folksonomies by integrating structured metadata   plang-kdd10.pdf   [Bibtex]
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - 2010
Higher-order Graphical Models for Classification in Social and Affiliation Networks   zheleva-nips2010.pdf   [Bibtex]
Elena Zheleva, Lise Getoor, Sunita Sarawagi
NIPS Workshop on Networks Across Disciplines: Theory and Applications - 2010
Indirect two-sided relative ranking: a robust similarity measure for gene expression data     [Bibtex]
Louis Licamele, Lise Getoor
BMC Bioinformatics - 2010
Information Acquisition in Structured Domains   mbilgic-phdthesis.pdf   [Bibtex]
Mustafa Bilgic
PhD thesis from University of Maryland - College Park - August 2010
Learning Algorithms for Link Prediction based on Chance Constraints   doppa-ecml10.pdf   [Bibtex]
Janardhan Doppa, Jun Yu, Prasad Tadepalli, Lise Getoor
European Conference on Machine Learning (ECML) - 2010
Link Prediction     [Bibtex]
Galileo Mark Namata, Lise Getoor
Encyclopedia of Machine Learning - 2010
Organizing User Search Histories     [Bibtex]
Heasoo Hwang, Hady Lauw, Lise Getoor, Alexcandros Ntoulas
IEEE Transactions on Knowledge and Data Engineering - 2010
Probabilistic Similarity Logic   broecheler-uai10.pdf   [Bibtex]
Matthias Broecheler, Lilyana Mihalkova, Lise Getoor
Conference on Uncertainty in Artificial Intelligence - 2010
Read-Once Functions and Query Evaluation in Probabilistic Databases   draft.pdf   [Bibtex]
Prithviraj Sen, Amol Deshpande, Lise Getoor
International Conference on Very Large Data Bases - 2010
Statistical Models of Music-listening Sessions in Social Media   wfp0858-zheleva.ps wfp0858-zheleva.pdf   [Bibtex]
Elena Zheleva, John Guiver, Eduarda Mendes Rodrigues, Natasa Milic-Frayling
19th International World Wide Web Conference (WWW) - 2010
 
Publications in 2009
A Pipeline Approach to Graph Identification   namatag-mlg09.pdf   [Bibtex]
Galileo Mark Namata, Lise Getoor
Seventh International Workshop on Mining and Learning with Graphs - 2009
Bisimulation-based Approximate Lifted Inference   uai09.pdf   [Bibtex]
Prithviraj Sen, Amol Deshpande, Lise Getoor
Uncertainty in Artificial Intelligence - 2009
Chance-Constrained Programs for Link Prediction   doppa-nips09wkshp.pdf   [Bibtex]
Janardhan Doppa, Jun Yu, Prasad Tadepalli, Lise Getoor
NIPS Workshop on Analyzing Networks and Learning with Graphs - 2009
Co-evolution of Social and Affiliation Networks   fp659-zheleva.ps fp659-zheleva.pdf   [Bibtex]
Elena Zheleva, Hossam Sharara, Lise Getoor
15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) - June 2009
Collective Classification for Text Classification     [Bibtex]
Galileo Mark Namata, Prithviraj Sen, Mustafa Bilgic, Lise Getoor
Text Mining: Classification, Clustering, and Applications, Taylor and Francis Group - 2009
Common effect of antipsychotics on the biosynthesis and regulation of fatty acids and cholesterol supports a key role of lipid homeostasis in schizophrenia.     [Bibtex]
Mihales Polymeropoulos, Louis Licamele, Simona Volpi, Kendra Mack, Shruti Mitkus, Eugene Carstea, Lise Getoor, Christian Lavedan
Schizophrenia Research - 2009
Distinguishing Knowledge vs Social Capital in Social Media with Roles and Context   barash-icwsm09.pdf   [Bibtex]
Vladimir Barash, Marc Smith, Lise Getoor, Howard Welser
International Conference on Weblogs and Social Media - May 2009
Efficient Resource-constrained Retrospective Analysis of Long Video Sequences   chen-nips09-wkshp.pdf   [Bibtex]
Daozheng Chen, Mustafa Bilgic, Lise Getoor, David Jacobs
NIPS Workshop on Adaptive Sensing, Active Learning and Experimental Design: Theory, Methods and Applications - 2009
Future Rank: Ranking Scientific Articles by Predicting their Future PageRank   sayyadi_futureRank_sdm09.pdf   [Bibtex]
Hassan Sayyadi, Lise Getoor
2009 SIAM International Conference on Data Mining (SDM09) - April 2009
Graphical Models for Uncertain Data   pgm-chapter.pdf   [Bibtex]
Amol Deshpande, Lise Getoor, Prithviraj Sen
Managing and Mining Uncertain Data, Springer - 2009
Identifying Graphs From Noisy and Incomplete Data   namatag-kddu09.pdf   [Bibtex]
Galileo Mark Namata, Lise Getoor
1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data - 2009
Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications   schnaitter-vldb09.pdf   [Bibtex]
Karl Schnaitter, Neoklis Polyzotis, Lise Getoor
International Conference on Very Large Data Bases - 2009
Link-based Active Learning   mbilgic-nips09wkshp.pdf   [Bibtex]
Mustafa Bilgic, Lise Getoor
NIPS Workshop on Analyzing Networks and Learning with Graphs - 2009
On Maximum Coverage in the Streaming Model & Application to Multi-topic Blog-Watch   saha-sdm08.pdf   [Bibtex]
Barna Saha, Lise Getoor
2009 SIAM International Conference on Data Mining (SDM09) - April 2009
Opinion Graphs for Polarity and Discourse Classification   somasundaran-textgraphs09.pdf   [Bibtex]
Swapna Somasundaran, Galileo Mark Namata, Lise Getoor, Janyce Wiebe
TextGraphs-4: Graph-based Methods for Natural Language Processing - August 2009
PrDB: Managing and Exploiting Rich Correlations in Probabilistic Databases   sen-vldbj09.pdf   [Bibtex]
Prithviraj Sen, Amol Deshpande, Lise Getoor
VLDB Journal, special issue on uncertain and probabilistic databases - 2009
Probabilistic Similarity Logic   broecheler-srl09.pdf   [Bibtex]
Matthias Broecheler, Lise Getoor
International Workshop on Statistical Relational Learning (SRL'09) - 2009
Reflect and Correct: A Misclassification Prediction Approach to Active Inference   bilgic-tkdd09.pdf   [Bibtex]
Mustafa Bilgic, Lise Getoor
ACM Transactions on Knowledge Discovery from Data, Volume 3, Number 4, page 1--32 - November 2009
Representing and Querying Uncertain Data   thesis.pdf   [Bibtex]
Prithviraj Sen
PhD thesis from University of Maryland, College Park - 2009
Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification   somasundaran-emnlp09.pdf   [Bibtex]
Swapna Somasundaran, Galileo Mark Namata, Janyce Wiebe, Lise Getoor
Conference on Empirical Methods in Natural Language Processing - August 2009
The Dynamics of Actor Loyalty to Groups in Affiliation Networks   sharara_asonam09.pdf   [Bibtex]
Hossam Sharara, Lisa Singh, Lise Getoor, Janet Mann
International Conference on Advances in Social Networks Analysis and Mining - July 2009
To Join or not to Join: The Illusion of Privacy in Social Networks with Mixed Public and Private User Profiles   fp660-zheleva.ps fp660-zheleva.pdf   [Bibtex]
Elena Zheleva, Lise Getoor
18th International World Wide Web conference (WWW) - April 2009
Note: Earlier version appears as CS-TR-4926.  
 
Publications in 2008
Collective Classification in Network Data   sen-aimag08.pdf   [Bibtex]
Prithviraj Sen, Galileo Mark Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, Tina Eliassi-Rad
AI Magazine, Volume 29, Number 3, page 93--106 - 2008
Collective Relational Clustering in Constrained Clustering: Advances in Algorithms, Theory, and Applications     [Bibtex]
Indrajit Bhattacharya, Lise Getoor
Chapman and Hall, page 223-243 - 2008
Cost-Sensitive Learning with Conditional Markov Networks   draft.ps draft.pdf   [Bibtex]
Prithviraj Sen, Lise Getoor
Data Mining and Knowledge Discovery, Special Issue on Utility Based Data Mining, Volume 17, Number 2, page 136--163 - October 2008
Effective Label Acquisition for Collective Classification   bilgic-kdd08.ps bilgic-kdd08.pdf   [Bibtex]
Mustafa Bilgic, Lise Getoor
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 43--51 - 2008
Note: Winner of the KDD'08 Best Student Paper Award.  
Exploiting Shared Correlations in Probabilistic Databases   sen-vldb08.pdf   [Bibtex]
Prithviraj Sen, Amol Deshpande, Lise Getoor
International Conference on Very Large Data Bases - 2008
Group Proximity Measure for Recommending Groups in Online Social Networks   kddw-saha.pdf   [Bibtex]
Barna Saha, Lise Getoor
2nd ACM SIGKDD Workshop on Social Network Mining and Analysis (SNA-KDD) - 2008
Interactive Entity Resolution in Relational Data: A Visual Analytic Tool and Its Evaluation   kang-tvcg08.pdf   [Bibtex]
Hyunmo Kang, Lise Getoor, Ben Shneiderman, Mustafa Bilgic, Louis Licamele
IEEE Transactions on Visualization and Computer Graphics, Volume 14, Number 5, page 999--1014 - 2008
Leveraging Social Context for Searching Social Media   smith-cikm07-ssm.pdf   [Bibtex]
Marc Smith, Vladimir Barash, Lise Getoor, Hady Lauw
CIKM Workshop on Search in Social Media - 2008
Personal Name Resolution in Email: A Heuristic Approach   LAMP_150.pdf   [Bibtex]
Tamer Elsayed, Doug Oard, Galileo Mark Namata, Lise Getoor
Technical Report LAMP-TR150, University of Maryland, College Park, Number LAMP-TR150 - March 2008
Preserving the Privacy of Sensitive Relationships in Graph Data   zheleva-pinkdd07-extended.ps zheleva-pinkdd07-extended.pdf   [Bibtex]
Elena Zheleva, Lise Getoor
Proceedings of the First SIGKDD International Workshop on Privacy, Security, and Trust in KDD (PinKDD 2007), Volume 4890, page 153-171 - March 2008
Note: This is an extended version of the original workshop paper.  
Resolving Personal Names in Email Using Context Expansion   elsayed-acl08.pdf   [Bibtex]
Tamer Elsayed, Doug Oard, Galileo Mark Namata
46th Annual Meeting of the Association of Computational Linguistics, page 265--268 - June 2008
Structured machine learning: the next ten years     [Bibtex]
Thomas Dietterich, Pedro Domingos, Lise Getoor, Stephen Muggleton, Prasad Tadepalli
Machine Learning, Volume 73, Number 1, page 3--23 - 2008
Note: Full version is available at http://dx.doi.org/10.1007/s10994-008-5079-1  
To Join or not to Join: The Illusion of Privacy in Social Networks with Mixed Public and Private User Profiles   zheleva-cs-tr4926.pdf   [Bibtex]
Elena Zheleva, Lise Getoor
Technical Report CS-TR-4926, University of Maryland, Number CS-TR-4926 - 2008
Note: An earlier version appears as CS-TR-4922, July 2008  
Trusting Spam Reporters: A Reporter-based Reputation System for Email Filtering   zheleva-tois08.pdf   [Bibtex]
Elena Zheleva, Alek Kolcz, Lise Getoor
ACM Transactions on Information Systems, Volume 27, Number 1 - December 2008
Note: Full version in ACM library  
Using Friendship Ties and Family Circles for Link Prediction   zheleva-snakdd08.pdf   [Bibtex]
Elena Zheleva, Lise Getoor, Jennifer Golbeck, Ugur Kuter
2nd ACM SIGKDD Workshop on Social Network Mining and Analysis (SNA-KDD) - 2008
 
Publications in 2007
A Dual-View Approach to Interactive Network Visualization   cikm0671-namata.ps cikm0671-namata.pdf   [Bibtex]
Galileo Mark Namata, Brian Staats, Lise Getoor, Ben Shneiderman
ACM Conference on Information and Knowledge Management - 2007
A Feature Generation Algorithm with Applications to Biological Sequence Classification     [Bibtex]
Rezarta Islamaj, Lise Getoor, W. John Wilbur
Computational Methods of Feature Selection, Chapman and Hall/CRC Press - 2007
A Graph-based Approach to Vehicle Tracking in Traffic Camera Video Streams   dmsn07.pdf   [Bibtex]
Hamid Haidarian-Shahri, Galileo Mark Namata, Saket Navlakha, Amol Deshpande, Nick Roussopoulos
4th International Workshop on Data Management for Sensor Networks - 2007
C-GROUP: A Visual Analytic Tool for Pairwise Analysis of Dynamic Group Membership   vast07-kang.pdf   [Bibtex]
Hyunmo Kang, Lise Getoor, Lisa Singh
Visual Analytics Science and Technology (VAST) - 2007
Characterizing RNA secondary-structure features and their effects on splice-site prediction     [Bibtex]
Rezarta Islamaj, Lise Getoor, W. John Wilbur
IEEE ICDM Workshop on Mining and Management of Biological Data - 2007
Collective Entity Resolution In Relational Data   bhattacharya-tkdd.pdf   [Bibtex]
Indrajit Bhattacharya, Lise Getoor
ACM Transactions on Knowledge Discovery from Data, Volume 1, Number 1, page 1-36 - March 2007
Combining Collective Classification and Link Prediction   mgcs07.ps mgcs07.pdf   [Bibtex]
Mustafa Bilgic, Galileo Mark Namata, Lise Getoor
Workshop on Mining Graphs and Complex Structures at the IEEE International Conference on Data Mining (ICDM-2007) - 2007
Combining statistical and logical inference for ontology alignment     [Bibtex]
Octavian Udrea, Lise Getoor
Workshop on Semantic Web for Collaborative Knowledge Acquisition at the International Joint Conference on Artificial Intelligence - 2007
Features generated for computational splice-site prediction correspond to functional elements     [Bibtex]
Rezarta Islamaj, Lise Getoor, W. John Wilbur, Stephen Mount
BMC Bioinformatics, Volume 8, Number 410 - October 2007
Note: Electronic version is available at http://www.biomedcentral.com/1471-2105/8/410  
GeoDDupe: A Novel Interface for Interactive Entity Resolution in Geospatial Data   kangiv07.pdf   [Bibtex]
Hyunmo Kang, Vivek Sehgal, Lise Getoor
International Conference on Information Visualization - 2007
Graphical Models in a Nutshell   srlbook-ch2.pdf   [Bibtex]
Daphne Koller, Nir Friedman, Lise Getoor, Benjamin Taskar
An Introduction to Statistical Relational Learning, MIT Press - 2007
HOMER: Ontology Alignment Visualization and Analysis   homer.pdf homer_poster.pdf   [Bibtex]
Octavian Udrea, Lise Getoor, Renee Miller
Misc - 2007
HOMER: Ontology visualization and analysis     [Bibtex]
Octavian Udrea, Renee Miller, Lise Getoor
Demo Presentation at International Semantic Web Conference (ISWC) - 2007
Increasing the predictive power of affiliation networks.   singh.pdf   [Bibtex]
Lisa Singh, Lise Getoor
IEEE Data Engineering Bulletin, Volume 30, Number 2 - jul 2007
Introduction to Statistical Relational Learning     [Bibtex]
Lise Getoor, Benjamin Taskar
The MIT Press - 2007
Leveraging Data and Structure in Ontology Integration   p449.pdf   [Bibtex]
Octavian Udrea, Lise Getoor, Renee Miller
Proceedings of ACM-SIGMOD 2007 International Conference on Management, page 449--460 - 2007
Link-based Classification   senum-tr07.ps senum-tr07.pdf   [Bibtex]
Prithviraj Sen, Lise Getoor
Technical Report CS-TR-4858, University of Maryland, Number CS-TR-4858 - February 2007
Online Collective Entity Resolution   nectar07.pdf   [Bibtex]
Indrajit Bhattacharya, Lise Getoor
The 22nd National Conference on Artificial Intelligence (NECTAR Track) - 2007
Preserving the Privacy of Sensitive Relationships in Graph Data   zheleva-pinkdd07.ps zheleva-pinkdd07.pdf   [Bibtex]
Elena Zheleva, Lise Getoor
First ACM SIGKDD Workshop on Privacy, Security, and Trust in KDD (PinKDD 2007) - 2007
Note: An extended version of this paper can be found at http://linqs.cs.umd.edu/basilic/web/Publications/2008/zheleva:kdd07-lncs/  
Probabilistic Interval XML     [Bibtex]
Edward Hung, Lise Getoor, V. S. Subrahmanian
ACM Transactions on Computational Logic (TOCL) - 2007
Probabilistic Relational Models   srlbook-ch5.pdf   [Bibtex]
Lise Getoor, Nir Friedman, Daphne Koller, Avi Pfeffer, Benjamin Taskar
An Introduction to Statistical Relational Learning, MIT Press - 2007
Query-time Entity Resolution   bhattacharya07a.ps bhattacharya07a.pdf   [Bibtex]
Indrajit Bhattacharya, Lise Getoor
Journal of Artificial Intelligence Research (JAIR), Volume 30, page 621--657 - Dec 2007
Relationship Identification for Social Network Discovery   diehl-aaai07.pdf   [Bibtex]
Christopher Diehl, Galileo Mark Namata, Lise Getoor
AAAI '07: Proceedings of the 22nd National Conference on Artificial Intelligence - July 2007
Representing and Querying Correlated Tuples in Probabilistic Databases   icde07_final.pdf   [Bibtex]
Prithviraj Sen, Amol Deshpande
International Conference on Data Engineering - 2007
Representing Tuple and Attribute Uncertainty in Probabilistic Databases   dune07.pdf   [Bibtex]
Prithviraj Sen, Amol Deshpande, Lise Getoor
Workshop on Data Mining of Uncertain Data (ICDM) - 2007
SplicePort - An interactive splice-site analysis tool   dogan-nar.pdf   [Bibtex]
Rezarta Islamaj, Lise Getoor, W. John Wilbur, Stephen Mount
Nucleic Acids Research - 2007
Visual Analysis of Dynamic Group Membership in Temporal Social Networks   2_kang-CGROUP_1207.pdf   [Bibtex]
Hyunmo Kang, Lise Getoor, Lisa Singh
SIGKDD Explorations, Special Issue on Visual Analytics, Volume 9, Number 2, page 13-21 - dec 2007
Visual mining of multi-modal social networks at different abstraction levelsx   singh2007IV.pdf   [Bibtex]
Lisa Singh, Mitchell Beard, Lise Getoor, M. Brian Blake
L. Singh, M. Beard, L. Getoor, M. Blake. Visual mining of multi-modal social networks at different abstraction levels. IEEE Conference on Information Visualization - Symposium of Visual Data Mining (IV-VDM) - 2007
VOILA: Efficient Feature-value Acquisition for Classification   bilgic-aaai07.ps bilgic-aaai07.pdf   [Bibtex]
Mustafa Bilgic, Lise Getoor
AAAI '07: Proceedings of the 22nd National Conference on Artificial Intelligence - July 2007
 
Publications in 2006
A Feature Generation Algorithm for Sequences with Application to Splice Site Prediction     [Bibtex]
Rezarta Islamaj, Lise Getoor, W. John Wilbur
International Workshop on Feature Selection for Data Mining (FSDM) - April 2006
A Latent Dirichlet Model for Unsupervised Entity Resolution   bhattacharyasdm06.pdf   [Bibtex]
Indrajit Bhattacharya, Lise Getoor
SIAM Conference on Data Mining (SDM) - April 2006
Note: Winner of the Best Paper Award.  
An Introduction to Probabilistic Graphical Models for Relational Data     [Bibtex]
Lise Getoor
Data Engineering Bulletin, Volume 29, Number 1 - march 2006
Collective Entity Resolution In Relational Data   thesis.ps thesis.pdf   [Bibtex]
Indrajit Bhattacharya
PhD thesis from University of Maryland, College Park - Dec 2006
Collective Entity Resolution in Relational Data     [Bibtex]
Indrajit Bhattacharya, Lise Getoor
Data Engineering Bulletin, Volume 29, Number 2 - june 2006
Cost-Sensitive Learning with Conditional Markov Networks   sensiam_lacs06.pdf   [Bibtex]
Prithviraj Sen, Lise Getoor
SIAM Data Mining Workshop on Link Analysis, Counterterrorism and Security - 2006
Cost-Sensitive Learning with Conditional Markov Networks   senicml06.ps senicml06.pdf   [Bibtex]
Prithviraj Sen, Lise Getoor
International Conference on Machine Learning - 2006
D-Dupe: An Interactive Tool for Entity Resolution in Social Networks   ddupe-vast.ps ddupe-vast.pdf   [Bibtex]
Mustafa Bilgic, Louis Licamele, Lise Getoor, Ben Shneiderman
Visual Analytics Science and Technology (VAST) - October 2006
Empirical Comparison of Approximate Inference Algorithms for Networked Data   sensrl06.pdf   [Bibtex]
Prithviraj Sen, Lise Getoor
ICML Workshop on Statistical Relational Learning (SRL) - 2006
Entity Resolution in Geospatial Data Integration   sehgal-acmgis06.ps sehgal-acmgis06.pdf   [Bibtex]
Vivek Sehgal, Lise Getoor, Peter Viechnicki
ACM GIS - 2006
Entity Resolution in Social Networks     [Bibtex]
Indrajit Bhattacharya, Lise Getoor
International Sunbelt Social Network Conference (Sunbelt XXVI) - 2006
Entity Resolutions in Graphs     [Bibtex]
Indrajit Bhattacharya, Lise Getoor
Mining Graph Data, Wiley - 2006
Event Classification and Relationship Labeling in Affiliation Networks   zhaosna06.pdf   [Bibtex]
Bin Zhao, Prithviraj Sen, Lise Getoor
ICML Workshop on Statistical Network Analysis (SNA) - 2006
Feature Generation Algorithm: an Application to Splice Site Prediction   rezarta-pkdd.pdf   [Bibtex]
Rezarta Islamaj, Lise Getoor, W. John Wilbur
Knowledge Discovery in Databases: PKDD 2006, Volume 4213, page 553-560 - September 2006
Inferring Organizational Titles in Online Communications   icml2006_ExtAbst.pdf   [Bibtex]
Galileo Mark Namata, Lise Getoor, Christopher Diehl
ICML Workshop on Statistical Network Analysis - 2006
Is there a grand challenge or X-prize for data mining?     [Bibtex]
Gregory Piatetsky-Shapiro, Robert Grossman, Chabane Djeraba, Ronen Feldman, Lise Getoor, Mohammed Zaki
12th International Conference on Knowledge Discovery and Data Mining - 2006
Name Reference Resolution in Organizational Email Archives   diehlsdm06.pdf   [Bibtex]
Christopher Diehl, Lise Getoor, Galileo Mark Namata
SIAM Conference on Data Mining (SDM) - 2006
Predicting Protein-Protein Interactions Using Relational Features     [Bibtex]
Louis Licamele, Lise Getoor
ICML Workshop on Statistical Network Analysis - 2006
PRL: A Logical Approach to Probabilistic Relational Models   getoor-mlj06.pdf   [Bibtex]
Lise Getoor, John Grant
Machine Learning Journal, Volume 62, Number 1-2 - feb 2006
Query-Time Entity Resolution   kdd06.pdf   [Bibtex]
Indrajit Bhattacharya, Louis Licamele, Lise Getoor
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - August 2006
Relational Clustering for Entity Resolution Queries   bhattacharyaicml06-wkshp.pdf   [Bibtex]
Indrajit Bhattacharya, Louis Licamele, Lise Getoor
ICML Workshop on Statistical Relational Learning (SRL) - 2006
Social Capital in Friendship-Event Networks   licamele_icdm06.pdf   [Bibtex]
Louis Licamele, Lise Getoor
IEEE International Conference on Data Mining (ICDM) - December 2006
 
Publications in 2005
Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence     [Bibtex]
Marie desJardins, Priyang Rathod, Lise Getoor
16th European Conference on Machine Learning (ECML) - 2005
Capital and Benefit in Social Networks   licamele_linkkdd05.pdf   [Bibtex]
Louis Licamele, Mustafa Bilgic, Lise Getoor, Nick Roussopoulos
ACM SIGKDD Workshop on Link Analysis and Group Detection (LinkKDD) - 2005
D-Dupe: An Interactive Tool for Entity Resolution in Social Networks   ddupe.pdf   [Bibtex]
Mustafa Bilgic, Louis Licamele, Lise Getoor, Ben Shneiderman
International Symposium on Graph Drawing, Volume 3843, page 505--507 - September 2005
Link Mining: A Survey   getoor-kdd-exp05.pdf   [Bibtex]
Lise Getoor, Christopher Diehl
SigKDD Explorations Special Issue on Link Mining, Volume 7, Number 2 - december 2005
Link-based Classification     [Bibtex]
Lise Getoor
Advanced Methods for Knowledge Discovery from Complex Data, Springer-Verlag - 2005
Pruning Social Networks Using Structural Properties and Descriptive Attributes   singh_icdm05.pdf   [Bibtex]
Lisa Singh, Lise Getoor, Louis Licamele
IEEE International Conference on Data Mining (ICDM), page 773-776 - 2005
Relational Clustering for Multi-type Entity Resolution   bhattacharyakdd05-whskp.pdf   [Bibtex]
Indrajit Bhattacharya, Lise Getoor
ACM SIGKDD Workshop on Multi Relational Data Mining (MRDM) - 2005
 
Publications in 2004
Deduplication and Group Detection using Links   bhattacharyakdd04-whskp.pdf   [Bibtex]
Indrajit Bhattacharya, Lise Getoor
ACM SIGKDD Workshop on Link Analysis and Group Detection (LinkKDD) - 2004
Iterative Record Linkage for Cleaning and Integration   bhattacharyasigmod04-wkshp.pdf   [Bibtex]
Indrajit Bhattacharya, Lise Getoor
ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD) - 2004
Understanding Tuberculosis Epidemiology Using Probabilistic Relational Models     [Bibtex]
Lise Getoor, Jeanne Rhee, Daphne Koller, Peter Small
AI in Medicine Journal, Volume 30, page 233-256 - 2004
Unsupervised Sense Disambiguation using Bilingual Probabilistic Models   acl04.pdf   [Bibtex]
Indrajit Bhattacharya, Lise Getoor, Yoshua Bengio
Annual Meeting of the Association for Computational Linguistics (ACL) - July 2004
Using the Structure of Web Sites for Automatic Segmentation of Tables   lerman-sigmod04.pdf   [Bibtex]
Kristina Lerman, Lise Getoor, Steve Minton, Craig Knoblock
In Proceedings of ACM-SIGMOD 2004 International Conference on Management of Data - 2004
 
Publications in 2003
Link Mining: A New Data Mining Challenge     [Bibtex]
Lise Getoor
SIGKDD Explorations, volume, Volume 5, Number 1, page 85- -89 - 2003
Link-based Classification   lu-icml03.pdf   [Bibtex]
Qing Lu, Lise Getoor
Proceedings of the International Conference on Machine Learning (ICML) - 2003
Link-based Classification Using Labeled and Unlabeled Data   icml03-ws.pdf   [Bibtex]
Qing Lu, Lise Getoor
ICML Workshop on "The Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining - 2003
Link-based Text Classification   ijcai03-ws.pdf   [Bibtex]
Qing Lu, Lise Getoor
IJCAI Workshop on "Text Mining and Link Analysis" - 2003
Probabilistic Interval XML     [Bibtex]
Edward Hung, Lise Getoor, V. S. Subrahmanian
Proceedings of the International Conference on Database Theory - 2003
PXML: A Probabilistic Semistructured Data Model and Algebra     [Bibtex]
Edward Hung, Lise Getoor, V. S. Subrahmanian
Proceedings of the IEEE International Conference on Data Engineering - 2003
Structure Discovery Using Statistical Relational Learning     [Bibtex]
Lise Getoor
Data Engineering Bulletin, Volume 26, Number 3, page 11- -18 - 2003
 
Publications in 2002
Learning Probabilistic Models of Link Structure   jmlr02.pdf   [Bibtex]
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar
Journal of Machine Learning Research, Volume 3, page 679- -707 - 2002
Learning Structured Statistical Models from Relational Data     [Bibtex]
Lise Getoor, Nir Friedman, Daphne Koller
Electronic Transactions on Artificial Intelligence, Volume 6, Number section B - 2002
 
Publications in 2001
Learning Probabilistic Models of Relational Structure   icml01.ps icml01.pdf   [Bibtex]
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar
Proceedings of International Conference on Machine Learning (ICML) - 2001
Learning Probabilistic Relational Models   lprm-ch.ps lprm-ch.pdf   [Bibtex]
Lise Getoor, Nir Friedman, Daphne Koller, Avi Pfeffer
Relational Data Mining, Springer-Verlag - 2001
Learning Statistical Models from Relational Data   getoor-thesis.ps getoor-thesis.pdf   [Bibtex]
Lise Getoor
PhD thesis from Stanford - 2001
Multi-relational Data Mining Using Probabilistic Models   mrdm.ps mrdm.pdf   [Bibtex]
Lise Getoor
Multi-Relational Data Mining Workshop - 2001
Probabilistic Models of Text and Link Structure for Hypertext Classification   ijcai01-ws.ps ijcai01-ws.pdf   [Bibtex]
Lise Getoor, Eran Segal, Benjamin Taskar, Daphne Koller
IJCAI Workshop on Text Learning: Beyond Supervision - 2001
Selectivity estimation using probabilistic relational models   sigmod01.ps sigmod01.pdf   [Bibtex]
Lise Getoor, Daphne Koller, Benjamin Taskar
Proceedings of ACM-SIGMOD 2001 International Conference on Management of Data - 2001
 
Publications in 2000
From Instances to Classes in Probabilistic Relational Models     [Bibtex]
Lise Getoor, Daphne Koller, Nir Friedman
Proceedings of the ICML Workshop on Attribute-Value and Relational Learning: Crossing the Boundaries - 2000
Learning Probabilistic Relational Models with Structural Uncertainty     [Bibtex]
Lise Getoor, Daphne Koller, Benjamin Taskar, Nir Friedman
Proceedings of the AAAI Workshop on Learning Statistical Models from Relational Data - 2000
Using Feature Hierarchies in Bayesian Network Learning     [Bibtex]
Marie desJardins, Lise Getoor, Daphne Koller
Symposium on Abstraction, Reformulation and Approximation - 2000
 
Publications in 1999
Efficient Learning Using Constrained Sufficient Statistics     [Bibtex]
Nir Friedman, Lise Getoor
Uncertainty99 - 1999
Learning Probabilistic Relational Models   ijcai99.ps icjai99.pdf   [Bibtex]
Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer
International Joint Conference on Arti cial Intelligence - 1999
Using Probabilistic Relational Models for Collaborative Filtering     [Bibtex]
Lise Getoor, Mehran Sahami
Working Notes of the KDD Workshop on Web Usage Analysis and User Profiling - 1999
 
Publications in 1998
Using Classi cation Techniques for Utility Elicitation: A Comparison between StandardGamble and Visual Analog Scale Methods     [Bibtex]
Ursulza Chajewska, Joseph Norman, Lise Getoor
Twentieth Anniversary Meeting of the Society for Medical Decision Making - 1998
Utility Elicitation as a Classi cation Problem     [Bibtex]
Ursulza Chajewska, Lise Getoor, Joseph Norman, Yuval Shahar
Uncertainty in Arti cial Intelligence - 1998
Utility Elicitation as a Classification Problem     [Bibtex]
Ursulza Chajewska, Lise Getoor, Joseph Norman
Proceedings of the AAAI Spring Symposium Series on Interactive and Mixed Initiative Decision-Theoretic Systems - 1998
 
Publications in 1997
Effictive Redundant Constraints for Online Scheduling     [Bibtex]
Lise Getoor, Gregor Ottosson, Markus Fromherz, Bjorn Carlson
Proceedings of the Fourteenth national Conference on Artificial Intelligence - 1997
Online Scheduling for Reprographic Machines     [Bibtex]
Lise Getoor, Markus Fromherz
Working notes AAAI Workshop on Online Search - 1997
 
Publications in 1995
Scope and Abstraction: Two Criteria for Localized Planning     [Bibtex]
Amy Lansky, Lise Getoor
Proceedings of the International Joint Conference on Arti cial Intelligence - 1995
The Collage/Khoros Link: Planning for Image Processing Tasks     [Bibtex]
Amy Lansky, Mark Friedman, Lise Getoor, Scott Schmidler, Nick Short Jr.
Proceedings of the AAAI Spring Symposium on Integrated Planning Applications - 1995
 
Publications in 1994
Practical Planning in COLLAGE     [Bibtex]
Amy Lansky, Lise Getoor
Proceedings of the AAAI Fall Symposium on Planning and Learning: On to Real Applications - 1994
Scope and Abstraction: Two Criteria for Localized Planning     [Bibtex]
Amy Lansky, Lise Getoor
Proceedings of the Workshop on Theory Reformulation and Abstraction - 1994

204 publications
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