Bianca Zadrozny

Idiomas

Áreas de atuação

Organização de eventos

Participação em bancas

Orientou

Produções bibliográficas

• LÔBO, M. T. F. ; PLASTINO, A. ; RIBEIRO, C. C. ; ZADROZNY, B. . A Fast and Effective Strategy for Feature Selection in High-dimensional Datasets. Journal of Information and Data Management - JIDM , v. 7, p. 155-165, 2016.

• PEREIRA, RAFAEL B. ; PLASTINO, ALEXANDRE ; Zadrozny, Bianca ; MERSCHMANN, LUIZ H. C. . Categorizing feature selection methods for multi-label classification. ARTIFICIAL INTELLIGENCE REVIEW , v. -, p. 1-22, 2016.

• PEREIRA, R. B. ; PLASTINO, A. ; ZADROZNY, B. ; MERSCHMANN, L. H. C. . Information Gain Feature Selection for Multi-Label Classification. Journal of Information and Data Management - JIDM , v. 6, p. 48-58, 2015.

• SEIXAS, FLÁVIO LUIZ ; Zadrozny, Bianca ; LAKS, JERSON ; CONCI, AURA ; MUCHALUAT SAADE, DÉBORA CHRISTINA . A Bayesian network decision model for supporting the diagnosis of dementia, Alzheimer-s disease and mild cognitive impairment. Computers in Biology and Medicine , v. 51, p. 140-158, 2014.

• LÔBO, M. T. F. ; ZADROZNY, B. ; PLASTINO, A. . A Relevance Measure for Multivalued Attributes. Journal of Information and Data Management - JIDM , v. 4, p. 421-436, 2013.

• PEREIRA, R. B. ; PLASTINO, A. ; ZADROZNY, B. ; MERSCHMANN, L. H. C. ; FREITAS, A. . Lazy attribute selection: Choosing attributes at classification time. Intelligent Data Analysis (Print) , v. 15, p. 715-732, 2011.

• PEREIRA, R. B. ; PLASTINO, A. ; ZADROZNY, B. ; MERSCHMANN, L. H. C. ; FREITAS, A. . Improving Lazy Attribute Selection. Journal of Information and Data Management - JIDM , v. 2, p. 447-462, 2011.

• Garcia, Ana Cristina B. ; Bentes, Cristiana ; Melo, Rafael Heitor C. ; Zadrozny, Bianca ; Penna, Thadeu J. P. . Sensor data analysis for equipment monitoring. Knowledge and Information Systems , p. 1-32, 2010.

• Weiss, Gary M. ; ZADROZNY, B. ; Saar-Tsechansky, Maytal . Guest editorial: special issue on utility-based data mining. Data Mining and Knowledge Discovery , v. 17, p. 129-135, 2008.

• ROSSET, Saharon ; PERLICH, Claudia ; ZADROZNY, B. . Ranking-based evaluation of regression models. Knowledge and Information Systems , v. 12, p. 331-353, 2007.

• BEYGELZIMER, Alina ; LANGFORD, John ; ZADROZNY, B. . Machine Learning Techniques ? Reductions Between Prediction Quality Metrics. In: Zhen Liu; Cathy H. Xia. (Org.). Performance Modeling and Engineering. : Springer US, 2008, v. I, p. 3-28.

• ABE, Naoki ; PEDNAULT, Edwin ; ZADROZNY, B. ; WANG, Haixun ; FAN, Wei ; APTE, Chid . Sequential Risk Management in E-Business by Reinforcement Learning. In: Abderrahim Labbi. (Org.). Handbook of Integrated Risk Management for E-Business: Measuring, Modeling and Managing Risk. : J. Ross Publishing, 2005, v. , p. 263-280.

• VARASSIN, C. G. ; PLASTINO, A. ; ZADROZNY, B. ; LEITAO, H. C. G. . Impacto de Estratégias de Balanceamento no Problema de Classificação de Sítios de Splice. In: VI e-Science Workshop, 2012, Curitiba. Anais do VI e-Science Workshop, 2012.

• GAMA, P. ; BERNARDINI, F. C. ; ZADROZNY, B. . Proposta de um novo método para classificação multirrótulo baseado em seleção aleatória e bagging. In: Encontro Nacional de Inteligência Artificial, 2012, Curitiba. Anais do Encontro Nacional de Inteligência Artificial, 2012.

• PEREIRA, D. ; PLASTINO, A. ; ZADROZNY, B. ; PEREIRA, R. B. ; MERSCHMANN, L. H. C. ; FREITAS, A. . Novas Medidas de Relevância para Seleção Lazy de Atributos. In: VIII Encontro Nacional de Inteligência Artificial, 2011, Natal. Anais do VIII Encontro Nacional de Inteligência Artificial, 2011.

• MENEZES, R. W. ; PLASTINO, A. ; ZADROZNY, B. ; PEREIRA, R. B. ; MERSCHMANN, L. H. C. ; FREITAS, A. . Avaliação de uma Nova Medida para Seleção Lazy de Atributos Baseada no Teste Chi-Quadrado. In: Workshop de Algoritmos e Aplicações em Mineração de Dados, 2009, Fortaleza. Anais do V Workshop de Algoritmos e Aplicações em Mineração de Dados realizado em conjunto com o XXIV Simpósio Brasileiro de Banco de Dados, 2009.

• LÔBO, M. T. F. ; ZADROZNY, B. ; PLASTINO, A. . Uma Proposta de Medida de Relevância de Atributos Multivalorados para Classificação. In: Workshop de Algoritmos e Aplicações em Mineração de Dados, 2009, Fortaleza. Anais do V Workshop de Algoritmos e Aplicações em Mineração de Dados realizado em conjunto com o XXIV Simpósio Brasileiro de Banco de Dados, 2009.

• PEREIRA, R. B. ; PLASTINO, A. ; ZADROZNY, B. ; MERSCHMANN, L. H. C. ; FREITAS, A. . Seleção Lazy de Atributos Uma Nova Perspectiva. In: Workshop em Algoritmos e Aplicações de Mineração de Dados (WAAMD), realizado em conjunto com o Simpósio Brasileiro de Banco de Dados (SBBD), 2008, Campinas. Anais do IV Workshop em Algoritmos e Aplicações de Mineração de Dados, 2008. p. 1-9.

• PERLICH, Claudia ; ROSSET, Saharon ; LAWRENCE, Rick ; ZADROZNY, B. . High-quantile modeling for customer wallet estimation and other applications. In: 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007, San Jose, CA, EUA. Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007. p. 977-985.

• ABE, Naoki ; ZADROZNY, B. ; LANGFORD, John . Outlier Detection by Active Learning. In: Twelth ACM SIGKDD International Conference on Data Mining and Knowledge Discovery, 2006, Philadelphia, USA. Proceedings of the Twelth ACM SIGKDD International Conference on Data Mining and Knowledge Discovery, 2006. p. 767-772.

• LANGFORD, John ; OLIVEIRA, R. ; ZADROZNY, B. . Predicting Conditional Quantiles via Reduction to Classification. In: 22nd Conference on Uncertainty in Artificial Intelligence, 2006, Cambridge, MA, USA. Proceedings of the 22nd Conference on Uncertainty in Artificial Intelligence, 2006.

• LANGFORD, John ; ZADROZNY, B. . Estimating Class Membership Probabilities using Classifier Learners. In: Tenth International Workshop on Artificial Intelligence and Statistics, 2005, Barbados. Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics, 2005. p. 198-205.

• BEYGELZIMER, Alina ; LANGFORD, John ; ZADROZNY, B. . Weighted One-Against-All. In: Twentieth National Conference on Artificial Intelligence, 2005, Pittsburgh, EUA. Proceedings of the Twentieth National Conference on Artificial Intelligence, 2005. p. 720-725.

• BEYGELZIMER, Alina ; DANI, Varsha ; HAYES, Tom ; LANGFORD, John ; ZADROZNY, B. . Error Limiting Reductions Between Classification Tasks. In: Twenty-Second International Conference on Machine Learning, 2005, Bonn, Alemanha. Proceedings of the Twenty-Second International Conference on Machine Learning, 2005.

• LANGFORD, John ; ZADROZNY, B. . Relating Reinforcement Learning Performance to Classification Performance. In: Twenty-Second International Conference on Machine Learning, 2005, Bonn, Alemanha. Proceedings of the Twenty-Second International Conference on Machine Learning, 2005.

• ZADROZNY, B. . One-Benefit Learning: Cost-Sensitive Learning with Restricted Cost Information. In: Utility-Based Data Mining Workshop, 2005, Chicago, Illinois, EUA. Proceedings of the Utility-Based Data Mining Workshop at the Eleventh ACM-SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005.

• ETTL, Markus ; ZADROZNY, B. ; CHOWDHARY, Pawan ; ABE, Naoki . Business Performance Management System for CRM and Sales Execution. In: Sixteenth International Conference on Database and Expert Systems Applications, 2005, Copenhagen, Dinamarca. Proceedings of the Sixteenth International Conference on Database and Expert Systems Applications, 2005. p. 908-913.

• FAN, Wei ; DAVIDSON, Ian ; ZADROZNY, B. ; YU, Philip . An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias. In: Fifth IEEE International Conference on Data Mining, 2005, Houston, EUA. Proceedings of the Fifth IEEE International Conference on Data Mining, 2005. p. 605-608.

• ROSSET, Saharon ; PERLICH, Claudia ; ZADROZNY, B. . Ranking-Based Evaluation of Regression Models. In: Fifth IEEE International Conference on Data Mining, 2005, Houston, EUA. Proceedings of the Fifth IEEE International Conference on Data Mining, 2005. p. 370-377.

• ROSSET, Saharon ; PERLICH, Claudia ; ZADROZNY, B. ; MERUGU, Srujana ; WEISS, Sholom ; LAWRENCE, Rick . Wallet Estimation Models. In: International Workshop on Customer Relationship Management: Data Mining Meets Marketing, 2005, Nova Iorque, EUA. Proceedings of the International Workshop on Customer Relationship Management: Data Mining Meets Marketing, 2005.

• ABE, Naoki ; APTE, Chid ; BHATTACHARJEE, Bishwaranjan ; GOLDMAN, Kenneth ; LANGFORD, John ; ZADROZNY, B. . Sampling Approach to Resource Light Mining. In: Data Mining in Resource Constrained Environments Workshop, 2004, Orlando, Florida, USA. Proceedings of the Data Mining in Resource Constrained Environments Workshop at the Fourth SIAM International Conference on Data Mining, 2004.

• ZADROZNY, B. . Learning and Evaluating Classifiers under Sample Selection Bias. In: Twenty-First International Conference on Machine Learning, 2004, Banff, Canada. Proceedings of the Twenty-First International Conference on Machine Learning, 2004. p. 903-910.

• ZADROZNY, B. . An Iterative Method for Multi-Class Cost-Sensitive Learning. In: Tenth ACM-SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004, Seattle, USA. Proceedings of the Tenth ACM-SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004. p. 3-11.

• ZADROZNY, B. ; LANGFORD, John ; ABE, Naoki . Cost-Sensitive Learning by Cost-Proportionate Example Weighting. In: 2003 IEEE International Conference on Data Mining, 2003, Melbourne, Florida, USA. Proceedings of the 2003 IEEE International Conference on Data Mining, 2003. p. 435-442.

• ZADROZNY, B. ; ELKAN, C. . Transforming classifier scores into accurate multiclass probability estimates. In: Eight ACM-SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002, Edmonton, Canada. Proceedings of the Eight ACM-SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002. p. 694-699.

• PEDNAULT, Edwin ; ABE, Naoki ; ZADROZNY, B. . Sequential Cost-Sensitive Decision-Making with Reinforcement Learning. In: Eight ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002, Edmonton, Canada. Proceedings of the Eight ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002. p. 259-268.

• ABE, Naoki ; PEDNAULT, Edwin ; WANG, Haixun ; ZADROZNY, B. ; FAN, Wei ; APTE, Chid . Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing. In: 2002 IEEE International Conference on Data Mining, 2002, Maebashi, Japão. Proceedings of the 2002 IEEE International Conference on Data Mining, 2002. p. 3-10.

• ZADROZNY, B. ; ELKAN, C. . Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers. In: Eighteenth International Conference on Machine Learning, 2001, Williamstown, MA, USA. Proceedings of the Eighteenth International Conference on Machine Learning, 2001. p. 609-616.

• ZADROZNY, B. ; ELKAN, C. . Learning and making decisions when costs and probabilities are both unknown. In: Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2001, San Francisco, CA, USA. Proceedings of the Seventh ACM-SIGKDD International Conference on Knowledge Discovery and Data Mining, 2001. p. 204-213.

• ZADROZNY, B. . Reducing multiclass to binary by coupling probability estimates. In: Fourteenth Annual Conference Neural Information Processing Systems, 2001, Vancouver, Canada. Advances in Neural Information Processing Systems 14, 2001. p. 1041-1048.

• ZADROZNY, B. ; PAPPA, G. L. ; MEIRA JUNIOR, W. ; GONCALVES, M. A. ; ROCHA, L. C. D. . Exploiting Contexts to Deal with Uncertainty in Classification. In: First ACM SIGKDD International Workshop on Knowledge Discovery from Uncertain Data, 2009, Paris. Proc. of the 1st ACM SIGKDD International Workshop on Knowledge Discovery from Uncertain Data. New York: ACM Press, 2009.

• BEYGELZIMER, Alina ; LANGFORD, John ; ZADROZNY, B. . Tutorial summary: Reductions in machine learning. In: International Conference on Machine Learning, 2009, Montreal. Proceedings of the 26th Annual International Conference on Machine Learning, 2009. p. 172.

• PEREIRA, R. B. ; PLASTINO, A. ; ZADROZNY, B. ; MERSCHMANN, L. H. C. ; FREITAS, A. . Lazy Attribute Selection - Choosing Attributes at Classification Time. Intelligent Data Analysis (Print) , 2011.

Outras produções

Projetos de pesquisa

• 2007 - 2008

  Estudo e Implementação de Reduções entre Diferentes Tipos de Problemas de Aprendizado de Máquina, Situação: Concluído; Natureza: Pesquisa. , Integrantes: Bianca Zadrozny - Coordenador., Financiador(es): Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do RJ - Auxílio financeiro.

• 2006 - Atual

  Novas Técnicas e Algoritmos de Classificação em Mineração de Dados Relacionais, Multi-Relacionais e Dados Não-Estruturados, Descrição: Dentre os problemas da área de mineração de dados, destaca-se, por sua ampla aplicabilidade, o problema de classificação. Esse problema se caracteriza por, a partir de uma base dados na qual cada elemento é caracterizado por seus atributos e pela classe a qual pertence, estimar a classe a qual pertence um novo elemento a partir dos valores de seus atributos. A construção de algoritmos e modelos de classificação precisos e computacionalmente eficientes para bases de dados grandes, em termos de volume e dimensão, é um importante desafio da área de mineração de dados. Neste projeto de pesquisa, pretende-se desenvolver e avaliar novos algoritmos e modelos de classificação. Objetiva-se a construção de classificadores a serem utilizados sobre dados armazenados em bases com diferentes estruturas. Serão então propostos e avaliados: classificadores relacionais, classificadores multi-relacionais, além de classificadores sobre dados não-estruturados, tais como textos ou imagens.. , Situação: Em andamento; Natureza: Pesquisa. , Integrantes: Bianca Zadrozny - Integrante / Luiz Henrique de Campos Merschmann - Integrante / Alexandre Plastino - Coordenador., Financiador(es): Conselho Nacional de Desenvolvimento Científico e Tecnológico - Auxílio financeiro.

Prêmios