 | 2008 |
|---|
| 11 |       | Gary M. Weiss,
Bianca Zadrozny,
Maytal Saar-Tsechansky:
Guest editorial: special issue on utility-based data mining.
Data Min. Knowl. Discov. 17(2): 129-135 (2008) |
| 2007 |
|---|
| 10 | | Foster J. Provost,
Prem Melville,
Maytal Saar-Tsechansky:
Data acquisition and cost-effective predictive modeling: targeting offers for electronic commerce.
ICEC 2007: 389-398 |
| 9 | | Maytal Saar-Tsechansky,
Foster J. Provost:
Decision-Centric Active Learning of Binary-Outcome Models.
Information Systems Research 18(1): 4-22 (2007) |
| 2006 |
|---|
| 8 | | David Pardoe,
Peter Stone,
Maytal Saar-Tsechansky,
Kerem Tomak:
Adaptive mechanism design: a metalearning approach.
ICEC 2006: 92-102 |
| 7 | | Bianca Zadrozny,
Gary M. Weiss,
Maytal Saar-Tsechansky:
UBDM 2006: Utility-Based Data Mining 2006 workshop report.
SIGKDD Explorations 8(2): 98-101 (2006) |
| 2005 |
|---|
| 6 | | Prem Melville,
Stewart M. Yang,
Maytal Saar-Tsechansky,
Raymond J. Mooney:
Active Learning for Probability Estimation Using Jensen-Shannon Divergence.
ECML 2005: 268-279 |
| 5 | | Gary M. Weiss,
Maytal Saar-Tsechansky,
Bianca Zadrozny:
Report on UBDM-05: Workshop on Utility-Based Data Mining.
SIGKDD Explorations 7(2): 145-147 (2005) |
| 2004 |
|---|
| 4 | | Prem Melville,
Maytal Saar-Tsechansky,
Foster J. Provost,
Raymond J. Mooney:
Active Feature-Value Acquisition for Classifier Induction.
ICDM 2004: 483-486 |
| 3 | | Maytal Saar-Tsechansky,
Foster J. Provost:
Active Sampling for Class Probability Estimation and Ranking.
Machine Learning 54(2): 153-178 (2004) |
| 2001 |
|---|
| 2 | | Maytal Saar-Tsechansky,
Nava Pliskin,
Gadi Rabinowitz,
Mark Tsechansky:
Patterns Extraction for Monitoring Medical Practices.
HICSS 2001 |
| 1 |  | Maytal Saar-Tsechansky,
Foster J. Provost:
Active Learning for Class Probability Estimation and Ranking.
IJCAI 2001: 911-920 |
