|
| RECORD LINKAGE AND ENTITY RESOLUTION |
|
| Classification with Pedigree and its Applicability to Record Linkage
Evan S. Gamble, Sofus A. Macskassy, Steve Minton.
Workshop on Text-Mining and Link Analysis at the Twentieth International Joint Conference on Artificial Intelligence. Hydarabad, India. (January 2007) |
|
Heterogeneous Field Matching Method for Record Linkage
Steven N. Minton, Claude Nanjo, Craig A. Knoblock, Martin Michalowski, and Matthew Michelson.
In Proceedings of the Fifth IEEE International Conference on Data Mining (ICDM '05). (2005) |
|
Learning Domain-Independent String Transformation Weights for High Accuracy Object Identification
Sheila Tejada, Craig A. Knoblock, and Steven Minton.
In Proceedings of the Eighth ACM SIGKDD International Conference. Edmonton, Alberta, Canada. (July 2002) |
|
Learning Object Identification Rules for Information Integration
Sheila Tejada, Craig A. Knoblock, and Steven Minton.
Information Systems, Special Issue on Data Extraction, Cleaning, and Reconciliation, 26(8), pp. 607-633. (December 2001) |
|
| INFORMATION EXTRACTION AND WEB HARVESTING |
|
| Overview of AutoFeed: An Unsupervised Learning System for Generating Webfeeds
Bora Gazen and Steven Minton.
In Proceedings of the 21st National Conference on Artificial Intelligence. Boston, MA (July 2006) |
|
Machine Learning Techniques for Web Wrapper Maintenance
Kristina Lerman, Steven N. Minton, and Craig A. Knoblock.
In Goran D. Putnik and Maria Manuela Cunha, editors, Virtual Enterprise Integration: Technological and Organizational Perspectives, pages 334--350. Idea Group Publishing, Hershey, PA. (2005) |
|
Populating the Semantic Web
Kristina Lerman, Cenk Gazen, Steven Minton, and Craig A. Knoblock.
In Proceedings of the AAAI 2004 Workshop on Advances in Text Extraction and Mining. (2004) |
|
Using the Structure of Web Sites for Automatic Segmentation of Tables
Kristina Lerman, Lise Getoor, Steven Minton, and Craig A. Knoblock.
In Proceedings of ACM SIG on Management of Data (SIGMOD-2004). (2004) |
|
Active Learning with Strong and Weak Views: A Case Study on Wrapper Induction
Ion Muslea, Steven Minton, and Craig A. Knoblock.
In Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI-2003). Acapulco, Mexico. (2003) |
|
Accurately and Reliably Extracting Data from the Web: A Machine Learning Approach
Craig A. Knoblock, Kristina Lerman, Steven Minon, and Ion Muslea.
In Intelligent Exploration of the Web, pages 275--287. Piotr S. Szczepaniak, Javier Segovia, Janusz Kacprzyk, and Lotfi A. Zadeh, editors. Springer-Verlag, Berkeley, CA. (2003) |
|
Wrapper Maintenance: A Machine Learning Approach
Kristina Lerman, Steven Minton, and Craig A. Knoblock.
Journal of Artificial Intelligence Research 18, pp. 149-181. (2003) |
|
Accurately and Reliably Extracting Data From the Web: A Machine Learning Approach
Craig A. Knoblock, Kristina Lerman, Steven Minton, and Ion Muslea.
IEEE Data Engineering Bulletin, 23(4), pp. 33-41. (December 2000) |
|
| INFORMATION AGENTS |
|
| An Expressive Language and Efficient Execution System for Software Agents
Greg Barish and Craig A. Knoblock.
Journal of Artificial Intelligence Research, 23:625--666 (2005) |
|
Plan Optimization by Plan Rewriting
Jose Luis Ambite, Craig A. Knoblock, and Steven Minton.
In Intelligent Techniques for Planning, pages 121--161. Ioannis Vlahavas and Dimitris Vrakas, editors. Idea Group Publishing, Hershey, PA. (2005) |
|
Heracles II: Conditional Constraint Networks for Interleaved Planning and Information Gathering
Jose Luis Ambite, Craig A. Knoblock, Maria Muslea, and Steven Minton.
IEEE Intelligent Systems, 20(2):25--33. (March/April 2005) |
|
Learning Value Predictors for the Speculative Execution of Information Gathering Plans
Greg Barish and Craig A. Knoblock.
In Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI-2003). Acapulco, Mexico. (2003) |
|
Retrieving and Semantically Integrating Heterogeneous Data from the Web
Martin Michalowski, José Luis Ambite, Snehal Thakkar, Rattapoom Tuchinda, Craig A. Knoblock, and Steve Minton.
IEE Intelligent Systems, 19(3). 2004 |
|
An Expressive and Efficient Language for Information Gathering on the Web
Greg Barish and Craig A. Knoblock.
Proceedings of the Sixth International Conference on AI Planning and Scheduling (AIPS-2002) Workshop: Is There Life Beyond Operator Sequencing? - Exploring Real-World Planning. Toulouse, France. (April 2002) |
|
The Ariadne Approach to Web-based Information Integration
Craig A. Knoblock, Steven Minton, Jose Luis Ambite, Naveen Ashish, Ion Muslea, Andrew G. Philpot, and Sheila Tejada.
The International Journal on Cooperative Information Systems (IJCIS), Special Issue on Intelligent Information Agents: Theory and Applications, 10 (1/2), pp.145-169. (2001) |
|
Getting from Here to There: Interactive Travel and Agent Execution for Optimizing Travel
Jose Luis Ambite, Greg Barish, Craig A. Knoblock, Maria Muslea, Jean Oh, and Steven Minton.
The Fourteenth Innovative Applications of Artificial Intelligence Conference(IAAI). Edmonton, Alberta, Canada. (2002) |
|
Automatic Data Extraction from Lists and Tables in Web Sources
Kristina Lerman, Craig A. Knoblock and Steven Minton.
Automatic Text Extraction and Mining Workshop (ATEM-01), International Joint Conference on Artificial Intelligence. Seattle, WA. (August 2001) |
|
Hierarchical Wrapper Induction for Semistructured Information Sources
Ion Muslea, Steven Minton, and Craig A. Knoblock.
Journal of Autonomous Agents and Multi-Agent Systems. 4, pp. 93-114. (2001) |
|
Mixed-Initiative, Multi-source Information Assistants
Craig A. Knoblock, Steven Minton, Jose Luis Ambite, Maria Muslea, Jean Oh, and Martin Frank.
The Tenth International World Wide Web Conference (WWW10). Hong Kong. (2001) |
|
Flexible and Scalable Cost-based Query Planning in Mediators: A Transformational Approach
Jose Luis Ambite and Craig A. Knoblock.
Artificial Intelligence. 118(1-2), pp. 115-161. (April 2000) |
|
| MACHINE LEARNING AND DATA MINING |
|
|
ROC Confidence Bands: An Empirical Evaluation
Sofus A. Macskassy, Foster Provost, Saharon Rosset.
In Proceedings of the 22nd International Conference on Machine Learning (ICML 2005). Bonn, Germany. (2005) |
|
Pointwise ROC Confidence Bounds: An Empirical Evaluation
Sofus A. Macskassy, Foster Provost, Saharon Rosset.
In Proceedings of the Second Workshop on ROC Analysis in ML at the 22nd International Conference on Machine Learning. (2005) |
|
Significance Testing against the Random Model for Scoring Models on Top k Predictions
Sofus A. Macskassy.
CeDER Working Paper #CeDER-05-09, Stern School of Business, New York University, NY, NY 10012. (December 2004) |
|
Confidence Bands for ROC Curves: Methods and an Empirical Study
Sofus A. Macskassy, Foster Provost.
In Proceedings of the First Workshop on ROC Analasis in AI (ROCAI-2004) at ECAI-2004. (August 2004) |
|
Active + Semi-Supervised Learning = Robust Multi-View Learning
Ion Muslea, Steven Minton, and Craig A. Knoblock.
In Proceedings of ICML-2002. Sydney, Australia. (July 2002) |
|
Adaptive View Validation: A First Step Towards Automatic View Detection
Ion Muslea, Steven Minton, and Craig A. Knoblock.
In Proceedings of ICML-2002. Sydney, Australia. (July 2002) |
|
Selective Sampling with Redundant Views
Ion Muslea, Steven Minton, and Craig A. Knoblock.
In Proceedings of the 17th National Conference on Artificial Intelligence (AAAI-2000). (2000) |
|
| RELATIONAL LEARNING AND SOCIAL NETWORK ANALYSIS |
|
| Improving Within-Network Classification with Local Attributes
Sofus A. Macskassy
Workshop on Text-Mining and Link Analysis (Textlink) at the Twentieth International Joint Conference on Artificial Intelligence. Hydarabad, India. (January 2007) |
|
Classification In Networked Data: A toolkit and a univariate case study
Sofus A. Macskassy, Foster Provost.
CeDER Working Paper #CeDER-04-08, Stern School of Business, New York University, NY, NY 10012. (forthcoming) |
|
A Brief Survey of Machine Learning Methods for Classification in Networked Data and an Application to Suspicion Scoring
Sofus A. Macskassy, Foster Provost
Poster at the Workshop on Statistical Network Learning at 23rd International Conference on Machine Learning (ICML 2006). Pittsburgh. (2006) |
|
NetKit-SRL: A Toolkit for Network Learning and Inference
Sofus A. Macskassy, Foster Provost
In Proceedings of the NAACSOS Conference 2005. (June 2005) |
|
Suspicion Scoring Based on Guilt-By-Association, Collective Inference, and Focused Data Access and Follow-Up
Sofus A. Macskassy, Foster Provost
In Proceedings of the International Conference on Intelligence Analysis. (May 2005)
In Proceedings of the NAACSOS Conference 2005. (June 2005) |
|
Simple Models and Classification in Networked Data
Sofus A. Macskassy, Foster Provost
CeDER Working Paper 03-04, Stern School of Business, New York University, NY, NY 10012. (2004) |
