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Bianca Zadrozny: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Alina Beygelzimer, John Langford, Bianca Zadrozny
    Weighted One-Against-All. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:720-725 [Conf]
  2. 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. [Citation Graph (0, 0)][DBLP]
    DaMoN, 2006, pp:1- [Conf]
  3. Markus Ettl, Bianca Zadrozny, Pawan Chowdhary, Naoki Abe
    Business Performance Management System for CRM and Sales Execution. [Citation Graph (0, 0)][DBLP]
    DEXA Workshops, 2005, pp:908-913 [Conf]
  4. 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. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:3-10 [Conf]
  5. Wei Fan, Ian Davidson, Bianca Zadrozny, Philip S. Yu
    An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:605-608 [Conf]
  6. Saharon Rosset, Claudia Perlich, Bianca Zadrozny
    Ranking-Based Evaluation of Regression Models. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:370-377 [Conf]
  7. Bianca Zadrozny, John Langford, Naoki Abe
    Cost-Sensitive Learning by Cost-Proportionate Example Weighting. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:435-0 [Conf]
  8. Alina Beygelzimer, Varsha Dani, Tom Hayes, John Langford, Bianca Zadrozny
    Error limiting reductions between classification tasks. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:49-56 [Conf]
  9. John Langford, Bianca Zadrozny
    Relating reinforcement learning performance to classification performance. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:473-480 [Conf]
  10. Bianca Zadrozny
    Learning and evaluating classifiers under sample selection bias. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  11. Bianca Zadrozny, Charles Elkan
    Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:609-616 [Conf]
  12. Naoki Abe, Bianca Zadrozny, John Langford
    An iterative method for multi-class cost-sensitive learning. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:3-11 [Conf]
  13. Naoki Abe, Bianca Zadrozny, John Langford
    Outlier detection by active learning. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:504-509 [Conf]
  14. Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
    Sequential cost-sensitive decision making with reinforcement learning. [Citation Graph (0, 0)][DBLP]
    KDD, 2002, pp:259-268 [Conf]
  15. Bianca Zadrozny, Charles Elkan
    Learning and making decisions when costs and probabilities are both unknown. [Citation Graph (0, 0)][DBLP]
    KDD, 2001, pp:204-213 [Conf]
  16. Bianca Zadrozny, Charles Elkan
    Transforming classifier scores into accurate multiclass probability estimates. [Citation Graph (0, 0)][DBLP]
    KDD, 2002, pp:694-699 [Conf]
  17. Bianca Zadrozny, Gary Weiss, Maytal Saar-Tsechansky
    UBDM 2006: Utility-Based Data Mining 2006 workshop report. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2006, v:8, n:2, pp:98-101 [Journal]
  18. Gary Weiss, Maytal Saar-Tsechansky, Bianca Zadrozny
    Report on UBDM-05: Workshop on Utility-Based Data Mining. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2005, v:7, n:2, pp:145-147 [Journal]
  19. Claudia Perlich, Saharon Rosset, Richard D. Lawrence, Bianca Zadrozny
    High-quantile modeling for customer wallet estimation and other applications. [Citation Graph (0, 0)][DBLP]
    KDD, 2007, pp:977-985 [Conf]
  20. John Langford, Roberto Oliveira, Bianca Zadrozny
    Predicting Conditional Quantiles via Reduction to Classification. [Citation Graph (0, 0)][DBLP]
    UAI, 2006, pp:- [Conf]
  21. Saharon Rosset, Claudia Perlich, Bianca Zadrozny
    Ranking-based evaluation of regression models. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2007, v:12, n:3, pp:331-353 [Journal]

  22. Tutorial summary: Reductions in machine learning. [Citation Graph (, )][DBLP]


  23. Exploiting contexts to deal with uncertainty in classification. [Citation Graph (, )][DBLP]


  24. Guest editorial: special issue on utility-based data mining. [Citation Graph (, )][DBLP]


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