| 2022 | IGARSS | Controlling Weather Field Synthesis Using Variational Autoencoders. | Drio A. B. Oliveira, Jorge Guevara Diaz, Bianca Zadrozny, Campbell D. Watson, Xiao Xiang Zhu |
| 2018 | IJCNN | Efficient Classification of Seismic Textures. | Daniel Salles Chevitarese, Daniela Szwarcman, Emilio Vital Brazil, Bianca Zadrozny |
| 2015 | ACL | Learning Hybrid Representations to Retrieve Semantically Equivalent Questions. | Ccero Nogueira dos Santos, Luciano Barbosa, Dasha Bogdanova, Bianca Zadrozny |
| 2015 | CoNLL | Detecting Semantically Equivalent Questions in Online User Forums. | Dasha Bogdanova, Ccero Nogueira dos Santos, Luciano Barbosa, Bianca Zadrozny |
| 2015 | MDM | USapiens: A System for Urban Trajectory Data Analytics. | Marcos R. Vieira, Luciano Barbosa, Matthias Kormaksson, Bianca Zadrozny |
| 2014 | ICDM | Bus Travel Time Predictions Using Additive Models. | Matthias Kormaksson, Luciano Barbosa, Marcos R. Vieira, Bianca Zadrozny |
| 2014 | ICML | Learning Character-level Representations for Part-of-Speech Tagging. | Ccero Nogueira dos Santos, Bianca Zadrozny |
| 2009 | ICML | Tutorial summary: Reductions in machine learning. | Alina Beygelzimer, John Langford, Bianca Zadrozny |
| 2009 | KDD | Exploiting contexts to deal with uncertainty in classification. | Bianca Zadrozny, Gisele L. Pappa, Wagner Meira Jr., Marcos Andr Gonalves, Leonardo Rocha, Thiago Salles |
| 2007 | KDD | High-quantile modeling for customer wallet estimation and other applications. | Claudia Perlich, Saharon Rosset, Richard D. Lawrence, Bianca Zadrozny |
| 2006 | DaMoN | Using secure coprocessors for privacy preserving collaborative data mining and analysis. | Bishwaranjan Bhattacharjee, Naoki Abe, Kenneth A. Goldman, Bianca Zadrozny, Vamsavardhana R. Chillakuru, Marysabel del Carpio, Chidanand Apt |
| 2006 | KDD | Outlier detection by active learning. | Naoki Abe, Bianca Zadrozny, John Langford |
| 2006 | UAI | Predicting Conditional Quantiles via Reduction to Classification. | John Langford, Roberto Oliveira, Bianca Zadrozny |
| 2005 | AAAI | Weighted One-Against-All. | Alina Beygelzimer, John Langford, Bianca Zadrozny |
| 2005 | AISTATS | Estimating Class Membership Probabilities using Classifier Learners. | John Langford, Bianca Zadrozny |
| 2005 | ICDM | An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias. | Wei Fan, Ian Davidson, Bianca Zadrozny, Philip S. Yu |
| 2005 | ICDM | Ranking-Based Evaluation of Regression Models. | Saharon Rosset, Claudia Perlich, Bianca Zadrozny |
| 2005 | ICML | Error limiting reductions between classification tasks. | Alina Beygelzimer, Varsha Dani, Thomas P. Hayes, John Langford, Bianca Zadrozny |
| 2005 | ICML | Relating reinforcement learning performance to classification performance. | John Langford, Bianca Zadrozny |
| 2004 | ICML | Learning and evaluating classifiers under sample selection bias. | Bianca Zadrozny |
| 2004 | KDD | An iterative method for multi-class cost-sensitive learning. | Naoki Abe, Bianca Zadrozny, John Langford |
| 2003 | ICDM | Cost-Sensitive Learning by Cost-Proportionate Example Weighting. | Bianca Zadrozny, John Langford, Naoki Abe |
| 2002 | ICDM | Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing. | Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bianca Zadrozny, Wei Fan, Chidanand Apt |
| 2002 | KDD | Sequential cost-sensitive decision making with reinforcement learning. | Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny |
| 2002 | KDD | Transforming classifier scores into accurate multiclass probability estimates. | Bianca Zadrozny, Charles Elkan |
| 2001 | ICML | Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers. | Bianca Zadrozny, Charles Elkan |
| 2001 | KDD | Learning and making decisions when costs and probabilities are both unknown. | Bianca Zadrozny, Charles Elkan |