Bianca Zadrozny

According to our database, Bianca Zadrozny authored at least 62 papers between 2001 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Foundation Models for Generalist Geospatial Artificial Intelligence.

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

CoRR, 2023

2022

Wildfire risk forecast: An optimizable fire danger index.

Eduardo Rodrigues, Bianca Zadrozny, Campbell D. Watson

CoRR, 2022

Controlling Weather Field Synthesis Using Variational Autoencoders.

Dário A. B. Oliveira, Jorge Guevara Diaz, Bianca Zadrozny, Campbell D. Watson, Xiao Xiang Zhu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

A lazy feature selection method for multi-label classification.

Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz H. C. Merschmann

Intell. Data Anal., 2021

Geostatistical Learning: Challenges and Opportunities.

Júlio Hoffimann, Maciel Zortea, Breno de Carvalho, Bianca Zadrozny

Frontiers Appl. Math. Stat., 2021

Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion.

Ken C. L. Wong, Hongzhi Wang, Etienne E. Vos, Bianca Zadrozny, Campbell D. Watson, Tanveer F. Syeda-Mahmood

CoRR, 2021

Controlling Weather Field Synthesis Using Variational Autoencoders.

Dário Augusto Borges Oliveira, Jorge Guevara Diaz, Bianca Zadrozny, Campbell D. Watson

CoRR, 2021

A comparative study of stochastic and deep generative models for multisite precipitation synthesis.

Jorge Guevara Diaz, Dario Borges, Campbell D. Watson, Bianca Zadrozny

CoRR, 2021

Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network.

Daniel Salles Civitarese, Daniela Szwarcman, Bianca Zadrozny, Campbell D. Watson

CoRR, 2021

Decadal Forecasts with ResDMD: a Residual DMD Neural Network.

Eduardo Rodrigues, Bianca Zadrozny, Campbell D. Watson, David Gold

CoRR, 2021

A modular framework for extreme weather generation.

Bianca Zadrozny, Campbell D. Watson, Daniela Szwarcman, Daniel Civitarese, Dário A. B. Oliveira, Eduardo Rodrigues, Jorge Guevara Diaz

CoRR, 2021

2019

Efficient variography with partition variograms.

Júlio Hoffimann, Bianca Zadrozny

Comput. Geosci., 2019

Learning Multi-Party Turn-Taking Models from Dialogue Logs.

Maíra Gatti de Bayser, Paulo Rodrigo Cavalin, Claudio S. Pinhanez, Bianca Zadrozny

CoRR, 2019

Semantic Segmentation of Seismic Images.

Daniel Civitarese, Daniela Szwarcman, Emilio Vital Brazil, Bianca Zadrozny

CoRR, 2019

2018

Correlation analysis of performance measures for multi-label classification.

Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz H. C. Merschmann

Inf. Process. Manag., 2018

Categorizing feature selection methods for multi-label classification.

Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz H. C. Merschmann

Artif. Intell. Rev., 2018

Efficient Classification of Seismic Textures.

Daniel Salles Chevitarese, Daniela Szwarcman, Emilio Vital Brazil, Bianca Zadrozny

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

A data-driven workflow for predicting horizontal well production using vertical well logs.

Jorge Guevara Diaz, Matthias Kormaksson, Bianca Zadrozny, Ligang Lu, John Tolle, Tyler Croft, Mingqi Wu, Jan Limbeck, Detlef Hohl

CoRR, 2017

2016

A Fast and Effective Strategy for Feature Selection in High-dimensional Datasets.

Mariana Tasca, Alexandre Plastino, Celso C. Ribeiro, Bianca Zadrozny

J. Inf. Data Manag., 2016

Pooling Hybrid Representations for Web Structured Data Annotation.

Luciano Barbosa, Breno W. Carvalho, Bianca Zadrozny

CoRR, 2016

2015

Information Gain Feature Selection for Multi-Label Classification.

Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz H. C. Merschmann

J. Inf. Data Manag., 2015

USapiens: A System for Urban Trajectory Data Analytics.

Marcos R. Vieira, Luciano Barbosa, Matthias Kormaksson, Bianca Zadrozny

Proceedings of the 16th IEEE International Conference on Mobile Data Management, 2015

Detecting Semantically Equivalent Questions in Online User Forums.

Dasha Bogdanova, Cícero Nogueira dos Santos, Luciano Barbosa, Bianca Zadrozny

Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

Learning Hybrid Representations to Retrieve Semantically Equivalent Questions.

Cícero Nogueira dos Santos, Luciano Barbosa, Dasha Bogdanova, Bianca Zadrozny

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

A Bayesian network decision model for supporting the diagnosis of dementia, Alzheimer's disease and mild cognitive impairment.

Flávio Luiz Seixas, Bianca Zadrozny, Jerson Laks, Aura Conci, Débora Christina Muchaluat-Saade

Comput. Biol. Medicine, 2014

Training State-of-the-Art Portuguese POS Taggers without Handcrafted Features.

Cícero Nogueira dos Santos, Bianca Zadrozny

Proceedings of the Computational Processing of the Portuguese Language, 2014

Learning Character-level Representations for Part-of-Speech Tagging.

Cícero Nogueira dos Santos, Bianca Zadrozny

Proceedings of the 31th International Conference on Machine Learning, 2014

Bus Travel Time Predictions Using Additive Models.

Matthias Kormaksson, Luciano Barbosa, Marcos R. Vieira, Bianca Zadrozny

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Relevance Measures for Multivalued Attributes in Multiclass Datasets.

Mariana Tasca, Bianca Zadrozny, Alexandre Plastino

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014

Vistradas: Visual Analytics for Urban Trajectory Data.

Luciano Barbosa, Matthias Kormaksson, Marcos R. Vieira, Rafael Lage Tavares, Bianca Zadrozny

Proceedings of the XV Brazilian Symposium on Geoinformatics, Campos do Jordão, São Paulo, Brazil, November 30, 2014

2013

A Relevance Measure for Multivalued Attributes.

Mariana Tasca, Bianca Zadrozny, Alexandre Plastino

J. Inf. Data Manag., 2013

Undersampling Strategy Based on Clustering to Improve the Performance of Splice Site Classification in Human Genes.

Claudia Galarda Varassin, Alexandre Plastino, Helena Cristina da Gama Leitão, Bianca Zadrozny

Proceedings of the 24th International Workshop on Database and Expert Systems Applications, 2013

2011

Sensor data analysis for equipment monitoring.

Ana Cristina Bicharra Garcia, Cristiana Bentes, Rafael Heitor C. de Melo, Bianca Zadrozny, Thadeu J. P. Penna

Knowl. Inf. Syst., 2011

Improving Lazy Attribute Selection.

Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz Henrique de Campos Merschmann, Alex Alves Freitas

J. Inf. Data Manag., 2011

Lazy attribute selection: Choosing attributes at classification time.

Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz Henrique de Campos Merschmann, Alex Alves Freitas

Intell. Data Anal., 2011

2010

A Method for Generating Emergent Behaviors Using Machine Learning to Strategy Games.

Alex Fernandes da V. Machado, Esteban Clua, Bianca Zadrozny

Proceedings of the 2010 Brazilian Symposium on Games and Digital Entertainment, 2010

2009

Modeling Quantiles.

Claudia Perlich, Saharon Rosset, Bianca Zadrozny

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Exploiting contexts to deal with uncertainty in classification.

Bianca Zadrozny, Gisele L. Pappa, Wagner Meira Jr., Marcos André Gonçalves, Leonardo Rocha, Thiago Salles

Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, 2009

Tutorial summary: Reductions in machine learning.

Alina Beygelzimer, John Langford, Bianca Zadrozny

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Guest editorial: special issue on utility-based data mining.

Gary M. Weiss, Bianca Zadrozny, Maytal Saar-Tsechansky

Data Min. Knowl. Discov., 2008

2007

Ranking-based evaluation of regression models.

Saharon Rosset, Claudia Perlich, Bianca Zadrozny

Knowl. Inf. Syst., 2007

High-quantile modeling for customer wallet estimation and other applications.

Claudia Perlich, Saharon Rosset, Richard D. Lawrence, Bianca Zadrozny

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2006

UBDM 2006: Utility-Based Data Mining 2006 workshop report.

Bianca Zadrozny, Gary M. Weiss, Maytal Saar-Tsechansky

SIGKDD Explor., 2006

Predicting Conditional Quantiles via Reduction to Classification.

John Langford, Roberto Oliveira, Bianca Zadrozny

Proceedings of the UAI '06, 2006

Outlier detection by active learning.

Naoki Abe, Bianca Zadrozny, John Langford

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

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 Apté

Proceedings of the Workshop on Data Management on New Hardware, 2006

2005

Report on UBDM-05: Workshop on Utility-Based Data Mining.

Gary M. Weiss, Maytal Saar-Tsechansky, Bianca Zadrozny

SIGKDD Explor., 2005

Relating reinforcement learning performance to classification performance.

John Langford, Bianca Zadrozny

Proceedings of the Machine Learning, 2005

Error limiting reductions between classification tasks.

Alina Beygelzimer, Varsha Dani, Thomas P. Hayes, John Langford, Bianca Zadrozny

Proceedings of the Machine Learning, 2005

An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias.

Wei Fan, Ian Davidson, Bianca Zadrozny, Philip S. Yu

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Business Performance Management System for CRM and Sales Execution.

Markus Ettl, Bianca Zadrozny, Pawan Chowdhary, Naoki Abe

Proceedings of the 16th International Workshop on Database and Expert Systems Applications (DEXA 2005), 2005

Estimating Class Membership Probabilities using Classifier Learners.

John Langford, Bianca Zadrozny

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

Weighted One-Against-All.

Alina Beygelzimer, John Langford, Bianca Zadrozny

Proceedings of the Proceedings, 2005

2004

An iterative method for multi-class cost-sensitive learning.

Naoki Abe, Bianca Zadrozny, John Langford

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Learning and evaluating classifiers under sample selection bias.

Bianca Zadrozny

Proceedings of the Machine Learning, 2004

2003

Cost-Sensitive Learning by Cost-Proportionate Example Weighting.

Bianca Zadrozny, John Langford, Naoki Abe

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002

Transforming classifier scores into accurate multiclass probability estimates.

Bianca Zadrozny, Charles Elkan

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Sequential cost-sensitive decision making with reinforcement learning.

Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing.

Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bianca Zadrozny, Wei Fan, Chidanand Apté

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2001

Reducing multiclass to binary by coupling probability estimates.

Bianca Zadrozny

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Learning and making decisions when costs and probabilities are both unknown.

Bianca Zadrozny, Charles Elkan

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers.

Bianca Zadrozny, Charles Elkan

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001