Bianca Zadrozny

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 25

Top Topics

Additive Models

Feature Selection

Top Venues

J. Inf. Data Manag.

Inf. Process. Manag.

Publications

Johannes Jakubik, Sujit Roy, C. E. Phillips, Paolo Fraccaro, Denys Godwin, Bianca Zadrozny, Daniela Szwarcman, Carlos Gomes, Gabby Nyirjesy, Blair Edwards, Daiki Kimura, Naomi Simumba, Linsong Chu, S. Karthik Mukkavilli, Devyani Lambhate, Kamal Das, Ranjini Bangalore, Dário A. B. Oliveira, Michal Muszynski, Kumar Ankur, Muthukumaran Ramasubramanian, Iksha Gurung, Sam Khallaghi, Hanxi Li, Michael Cecil, Maryam Ahmadi, Fatemeh Kordi, Hamed Alemohammad, Manil Maskey, Raghu K. Ganti, Kommy Weldemariam, Rahul Ramachandran
Foundation Models for Generalist Geospatial Artificial Intelligence. CoRR (2023)
Dário A. B. Oliveira, Jorge Guevara Diaz, Bianca Zadrozny, Campbell D. Watson, Xiao Xiang Zhu
Controlling Weather Field Synthesis Using Variational Autoencoders. IGARSS (2022)
Eduardo Rodrigues, Bianca Zadrozny, Campbell Watson
Wildfire risk forecast: An optimizable fire danger index. CoRR (2022)
Jorge Guevara Diaz, Dario Borges, Campbell D. Watson, Bianca Zadrozny
A comparative study of stochastic and deep generative models for multisite precipitation synthesis. CoRR (2021)
Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz H. C. Merschmann
A lazy feature selection method for multi-label classification. Intell. Data Anal. 25 (1) (2021)
Júlio Hoffimann, Maciel Zortea, Breno de Carvalho, Bianca Zadrozny
Geostatistical Learning: Challenges and Opportunities. CoRR (2021)
Júlio Hoffimann, Maciel Zortea, Breno de Carvalho, Bianca Zadrozny
Geostatistical Learning: Challenges and Opportunities. Frontiers Appl. Math. Stat. 7 (2021)
Bianca Zadrozny, Campbell D. Watson, Daniela Szwarcman, Daniel Civitarese, Dário A. B. Oliveira, Eduardo Rodrigues, Jorge Guevara Diaz
A modular framework for extreme weather generation. CoRR (2021)
Dário Augusto Borges Oliveira, Jorge Guevara Diaz, Bianca Zadrozny, Campbell Watson
Controlling Weather Field Synthesis Using Variational Autoencoders. CoRR (2021)
Ken C. L. Wong, Hongzhi Wang, Etienne E. Vos, Bianca Zadrozny, Campbell D. Watson, Tanveer F. Syeda-Mahmood
Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion. CoRR (2021)
Daniel Salles Civitarese, Daniela Szwarcman, Bianca Zadrozny, Campbell D. Watson
Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network. CoRR (2021)
Eduardo Rodrigues, Bianca Zadrozny, Campbell D. Watson, David Gold
Decadal Forecasts with ResDMD: a Residual DMD Neural Network. CoRR (2021)
Daniel Civitarese, Daniela Szwarcman, Emilio Vital Brazil, Bianca Zadrozny
Semantic Segmentation of Seismic Images. CoRR (2019)
Maíra Gatti de Bayser, Paulo Rodrigo Cavalin, Claudio Santos Pinhanez, Bianca Zadrozny
Learning Multi-Party Turn-Taking Models from Dialogue Logs. CoRR (2019)
Júlio Hoffimann, Bianca Zadrozny
Efficient variography with partition variograms. Comput. Geosci. 131 (2019)
Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz H. C. Merschmann
Correlation analysis of performance measures for multi-label classification. Inf. Process. Manag. 54 (3) (2018)
Daniel Salles Chevitarese, Daniela Szwarcman, Emilio Vital Brazil, Bianca Zadrozny
Efficient Classification of Seismic Textures. IJCNN (2018)
Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz H. C. Merschmann
Categorizing feature selection methods for multi-label classification. Artif. Intell. Rev. 49 (1) (2018)
Jorge Guevara Diaz, Matthias Kormaksson, Bianca Zadrozny, Ligang Lu, John Tolle, Tyler Croft, Mingqi Wu, Jan Limbeck, Detlef Hohl
A data-driven workflow for predicting horizontal well production using vertical well logs. CoRR (2017)
Luciano Barbosa, Breno W. Carvalho, Bianca Zadrozny
Pooling Hybrid Representations for Web Structured Data Annotation. CoRR (2016)
Mariana Tasca, Alexandre Plastino, Celso C. Ribeiro, Bianca Zadrozny
A Fast and Effective Strategy for Feature Selection in High-dimensional Datasets. J. Inf. Data Manag. 7 (2) (2016)
Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz H. C. Merschmann
Information Gain Feature Selection for Multi-Label Classification. J. Inf. Data Manag. 6 (1) (2015)
Marcos R. Vieira, Luciano Barbosa, Matthias Kormaksson, Bianca Zadrozny
USapiens: A System for Urban Trajectory Data Analytics. MDM (1) (2015)
Cícero Nogueira dos Santos, Luciano Barbosa, Dasha Bogdanova, Bianca Zadrozny
Learning Hybrid Representations to Retrieve Semantically Equivalent Questions. ACL (2) (2015)
Dasha Bogdanova, Cícero Nogueira dos Santos, Luciano Barbosa, Bianca Zadrozny
Detecting Semantically Equivalent Questions in Online User Forums. CoNLL (2015)
Cícero Nogueira dos Santos, Bianca Zadrozny
Training State-of-the-Art Portuguese POS Taggers without Handcrafted Features. PROPOR (2014)
Matthias Kormaksson, Luciano Barbosa, Marcos R. Vieira, Bianca Zadrozny
Bus Travel Time Predictions Using Additive Models. CoRR (2014)
Flávio Luiz Seixas, Bianca Zadrozny, Jerson Laks, Aura Conci, Débora Christina Muchaluat-Saade
A Bayesian network decision model for supporting the diagnosis of dementia, Alzheimer's disease and mild cognitive impairment. Comput. Biol. Medicine 51 (2014)
Mariana Tasca, Bianca Zadrozny, Alexandre Plastino
Relevance Measures for Multivalued Attributes in Multiclass Datasets. IBERAMIA (2014)
Luciano Barbosa, Matthias Kormaksson, Marcos R. Vieira, Rafael Lage Tavares, Bianca Zadrozny
Vistradas: Visual Analytics for Urban Trajectory Data. GeoInfo (2014)
Matthias Kormaksson, Luciano Barbosa, Marcos R. Vieira, Bianca Zadrozny
Bus Travel Time Predictions Using Additive Models. ICDM (2014)
Cícero Nogueira dos Santos, Bianca Zadrozny
Learning Character-level Representations for Part-of-Speech Tagging. ICML (2014)
Claudia Galarda Varassin, Alexandre Plastino, Helena Cristina da Gama Leitão, Bianca Zadrozny
Undersampling Strategy Based on Clustering to Improve the Performance of Splice Site Classification in Human Genes. DEXA Workshops (2013)
Mariana Tasca, Bianca Zadrozny, Alexandre Plastino
A Relevance Measure for Multivalued Attributes. J. Inf. Data Manag. 4 (3) (2013)
John Langford, Roberto Oliveira, Bianca Zadrozny
Predicting Conditional Quantiles via Reduction to Classification. CoRR (2012)
Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz Henrique de Campos Merschmann, Alex Alves Freitas
Improving Lazy Attribute Selection. J. Inf. Data Manag. 2 (3) (2011)
Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz Henrique de Campos Merschmann, Alex Alves Freitas
Lazy attribute selection: Choosing attributes at classification time. Intell. Data Anal. 15 (5) (2011)
Ana Cristina Bicharra Garcia, Cristiana Bentes, Rafael Heitor C. de Melo, Bianca Zadrozny, Thadeu J. P. Penna
Sensor data analysis for equipment monitoring. Knowl. Inf. Syst. 28 (2) (2011)
Alex Fernandes da V. Machado, Esteban Clua, Bianca Zadrozny
A Method for Generating Emergent Behaviors Using Machine Learning to Strategy Games. SBGames (2010)
Alina Beygelzimer, John Langford, Bianca Zadrozny
Tutorial summary: Reductions in machine learning. ICML (2009)
Bianca Zadrozny, Gisele L. Pappa, Wagner Meira Jr., Marcos André Gonçalves, Leonardo Rocha, Thiago Salles
Exploiting contexts to deal with uncertainty in classification. KDD Workshop on Knowledge Discovery from Uncertain Data (2009)
Gary M. Weiss, Bianca Zadrozny, Maytal Saar-Tsechansky
Guest editorial: special issue on utility-based data mining. Data Min. Knowl. Discov. 17 (2) (2008)
Claudia Perlich, Saharon Rosset, Richard D. Lawrence, Bianca Zadrozny
High-quantile modeling for customer wallet estimation and other applications. KDD (2007)
Saharon Rosset, Claudia Perlich, Bianca Zadrozny
Ranking-based evaluation of regression models. Knowl. Inf. Syst. 12 (3) (2007)
John Langford, Roberto Oliveira, Bianca Zadrozny
Predicting Conditional Quantiles via Reduction to Classification. UAI (2006)
Bianca Zadrozny, Gary M. Weiss, Maytal Saar-Tsechansky
UBDM 2006: Utility-Based Data Mining 2006 workshop report. SIGKDD Explor. 8 (2) (2006)
Bishwaranjan Bhattacharjee, Naoki Abe, Kenneth A. Goldman, Bianca Zadrozny, Vamsavardhana R. Chillakuru, Marysabel del Carpio, Chidanand Apté
Using secure coprocessors for privacy preserving collaborative data mining and analysis. DaMoN (2006)
Naoki Abe, Bianca Zadrozny, John Langford
Outlier detection by active learning. KDD (2006)
John Langford, Bianca Zadrozny
Estimating Class Membership Probabilities using Classifier Learners. AISTATS (2005)
Gary M. Weiss, Maytal Saar-Tsechansky, Bianca Zadrozny
Report on UBDM-05: Workshop on Utility-Based Data Mining. SIGKDD Explor. 7 (2) (2005)
Wei Fan, Ian Davidson, Bianca Zadrozny, Philip S. Yu
An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias. ICDM (2005)
John Langford, Bianca Zadrozny
Relating reinforcement learning performance to classification performance. ICML (2005)
Markus Ettl, Bianca Zadrozny, Pawan Chowdhary, Naoki Abe
Business Performance Management System for CRM and Sales Execution. DEXA Workshops (2005)
Alina Beygelzimer, John Langford, Bianca Zadrozny
Weighted One-Against-All. AAAI (2005)
Alina Beygelzimer, Varsha Dani, Thomas P. Hayes, John Langford, Bianca Zadrozny
Error limiting reductions between classification tasks. ICML (2005)
Saharon Rosset, Claudia Perlich, Bianca Zadrozny
Ranking-Based Evaluation of Regression Models. ICDM (2005)
Bianca Zadrozny
Learning and evaluating classifiers under sample selection bias. ICML (2004)
Naoki Abe, Bianca Zadrozny, John Langford
An iterative method for multi-class cost-sensitive learning. KDD (2004)
Bianca Zadrozny, John Langford, Naoki Abe
Cost-Sensitive Learning by Cost-Proportionate Example Weighting. ICDM (2003)
Bianca Zadrozny, Charles Elkan
Transforming classifier scores into accurate multiclass probability estimates. KDD (2002)
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
Sequential cost-sensitive decision making with reinforcement learning. KDD (2002)
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)
Bianca Zadrozny, Charles Elkan
Learning and making decisions when costs and probabilities are both unknown. KDD (2001)
Bianca Zadrozny
Reducing multiclass to binary by coupling probability estimates. NIPS (2001)
Bianca Zadrozny, Charles Elkan
Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers. ICML (2001)