| Transforming classifier scores into accurate multiclass probability estimates B Zadrozny, C Elkan Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002 | 1454 | 2002 |
| Obtaining calibrated probability estimates from decision trees and naive bayesian classifiers B Zadrozny, C Elkan Icml 1, 609-616, 2001 | 1130 | 2001 |
| Learning and evaluating classifiers under sample selection bias B Zadrozny Proceedings of the twenty-first international conference on Machine learning …, 2004 | 1034 | 2004 |
| Cost-sensitive learning by cost-proportionate example weighting B Zadrozny, J Langford, N Abe Third IEEE international conference on data mining, 435-442, 2003 | 904 | 2003 |
| Learning character-level representations for part-of-speech tagging C Dos Santos, B Zadrozny International Conference on Machine Learning, 1818-1826, 2014 | 806 | 2014 |
| Learning and making decisions when costs and probabilities are both unknown B Zadrozny, C Elkan Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001 | 645 | 2001 |
| Foundation models for generalist medical artificial intelligence M Moor, O Banerjee, ZSH Abad, HM Krumholz, J Leskovec, EJ Topol, ... Nature 616 (7956), 259-265, 2023 | 548 | 2023 |
| Outlier detection by active learning N Abe, B Zadrozny, J Langford Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 484 | 2006 |
| A Bayesian network decision model for supporting the diagnosis of dementia, Alzheimer׳ s disease and mild cognitive impairment FL Seixas, B Zadrozny, J Laks, A Conci, DCM Saade Computers in biology and medicine 51, 140-158, 2014 | 254 | 2014 |
| Categorizing feature selection methods for multi-label classification RB Pereira, A Plastino, B Zadrozny, LHC Merschmann Artificial intelligence review 49, 57-78, 2018 | 209 | 2018 |
| An iterative method for multi-class cost-sensitive learning N Abe, B Zadrozny, J Langford Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 198 | 2004 |
| Correlation analysis of performance measures for multi-label classification RB Pereira, A Plastino, B Zadrozny, LHC Merschmann Information Processing & Management 54 (3), 359-369, 2018 | 158 | 2018 |
| Reducing multiclass to binary by coupling probability estimates B Zadrozny Advances in neural information processing systems 14, 2001 | 124 | 2001 |
| An improved categorization of classifier's sensitivity on sample selection bias W Fan, I Davidson, B Zadrozny, PS Yu Fifth IEEE international conference on data mining (ICDM'05), 4 pp., 2005 | 115 | 2005 |
| Learning hybrid representations to retrieve semantically equivalent questions C Dos Santos, L Barbosa, D Bogdanova, B Zadrozny Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 114 | 2015 |
| Error limiting reductions between classification tasks A Beygelzimer, V Dani, T Hayes, J Langford, B Zadrozny Proceedings of the 22nd international conference on Machine learning, 49-56, 2005 | 104 | 2005 |
| Detecting semantically equivalent questions in online user forums D Bogdanova, C dos Santos, L Barbosa, B Zadrozny Proceedings of the nineteenth conference on computational natural language …, 2015 | 101 | 2015 |
| Sequential cost-sensitive decision making with reinforcement learning E Pednault, N Abe, B Zadrozny Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002 | 101 | 2002 |
| Relating reinforcement learning performance to classification performance J Langford, B Zadrozny Proceedings of the 22nd international conference on Machine learning, 473-480, 2005 | 78 | 2005 |
| Ranking-based evaluation of regression models S Rosset, C Perlich, B Zadrozny Fifth IEEE International Conference on Data Mining (ICDM'05), 8 pp., 2005 | 68 | 2005 |
John LangfordMicrosoft Research New York在 hunch.net 的电子邮件经过验证
