2008 |
22 | EE | 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 |
21 | EE | Claudia Perlich,
Saharon Rosset,
Richard D. Lawrence,
Bianca Zadrozny:
High-quantile modeling for customer wallet estimation and other applications.
KDD 2007: 977-985 |
20 | EE | Saharon Rosset,
Claudia Perlich,
Bianca Zadrozny:
Ranking-based evaluation of regression models.
Knowl. Inf. Syst. 12(3): 331-353 (2007) |
2006 |
19 | EE | Bishwaranjan Bhattacharjee,
Naoki Abe,
Kenneth Goldman,
Bianca Zadrozny,
Vamsavardhana R. Chillakuru,
Marysabel del Carpio,
Chidanand Apté:
Using secure coprocessors for privacy preserving collaborative data mining and analysis.
DaMoN 2006: 1 |
18 | EE | Naoki Abe,
Bianca Zadrozny,
John Langford:
Outlier detection by active learning.
KDD 2006: 504-509 |
17 | EE | John Langford,
Roberto Oliveira,
Bianca Zadrozny:
Predicting Conditional Quantiles via Reduction to Classification.
UAI 2006 |
16 | EE | 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 |
15 | | Alina Beygelzimer,
John Langford,
Bianca Zadrozny:
Weighted One-Against-All.
AAAI 2005: 720-725 |
14 | EE | Markus Ettl,
Bianca Zadrozny,
Pawan Chowdhary,
Naoki Abe:
Business Performance Management System for CRM and Sales Execution.
DEXA Workshops 2005: 908-913 |
13 | EE | Saharon Rosset,
Claudia Perlich,
Bianca Zadrozny:
Ranking-Based Evaluation of Regression Models.
ICDM 2005: 370-377 |
12 | EE | Wei Fan,
Ian Davidson,
Bianca Zadrozny,
Philip S. Yu:
An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias.
ICDM 2005: 605-608 |
11 | EE | John Langford,
Bianca Zadrozny:
Relating reinforcement learning performance to classification performance.
ICML 2005: 473-480 |
10 | EE | Alina Beygelzimer,
Varsha Dani,
Thomas P. Hayes,
John Langford,
Bianca Zadrozny:
Error limiting reductions between classification tasks.
ICML 2005: 49-56 |
9 | EE | 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 |
8 | EE | Bianca Zadrozny:
Learning and evaluating classifiers under sample selection bias.
ICML 2004 |
7 | EE | Naoki Abe,
Bianca Zadrozny,
John Langford:
An iterative method for multi-class cost-sensitive learning.
KDD 2004: 3-11 |
2003 |
6 | EE | Bianca Zadrozny,
John Langford,
Naoki Abe:
Cost-Sensitive Learning by Cost-Proportionate Example Weighting.
ICDM 2003: 435- |
2002 |
5 | EE | Naoki Abe,
Edwin P. D. Pednault,
Haixun Wang,
Bianca Zadrozny,
Wei Fan,
Chidanand Apté:
Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing.
ICDM 2002: 3-10 |
4 | EE | Edwin P. D. Pednault,
Naoki Abe,
Bianca Zadrozny:
Sequential cost-sensitive decision making with reinforcement learning.
KDD 2002: 259-268 |
3 | EE | Bianca Zadrozny,
Charles Elkan:
Transforming classifier scores into accurate multiclass probability estimates.
KDD 2002: 694-699 |
2001 |
2 | | Bianca Zadrozny,
Charles Elkan:
Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers.
ICML 2001: 609-616 |
1 | EE | Bianca Zadrozny,
Charles Elkan:
Learning and making decisions when costs and probabilities are both unknown.
KDD 2001: 204-213 |