Complexity measures of supervised classifications tasks: A case study for cancer gene expression data. - Marcílio Carlos Pereira de Souto; Ana Carolina Lorena; Newton Spolaôr; Ivan Gesteira Costa (IJCNN, 2010)

On the Complexity of Gene Marker Selection. - Ana Carolina Lorena; Newton Spolaôr; Ivan G. Costa; Marcilio C. P. de Souto (SBRN, 2010)

Use of Multiobjective Genetic Algorithms in Feature Selection. - Newton Spolaôr; Ana Carolina Lorena; Huei Diana Lee (SBRN, 2010)

Multi-objective Genetic Algorithm Evaluation in Feature Selection. - Newton Spolaôr; Ana Carolina Lorena; Huei Diana Lee (EMO, 2011)

Filter Approach Feature Selection Methods to Support Multi-label Learning Based on ReliefF and Information Gain. - Newton Spolaôr; Everton Alvares Cherman; Maria Carolina Monard; Huei Diana Lee (SBIA, 2012)

A Comparison of Multi-label Feature Selection Methods using the Problem Transformation Approach. - Newton Spolaôr; Everton Alvares Cherman; Maria Carolina Monard; Huei Diana Lee (CLEI Selected Papers, 2012)

Analysis of complexity indices for classification problems: Cancer gene expression data. - Ana Carolina Lorena; Ivan G. Costa; Newton Spolaôr; Marcílio Carlos Pereira de Souto (Neurocomputing, 2012)

ReliefF for Multi-label Feature Selection. - Newton Spolaôr; Everton Alvares Cherman; Maria Carolina Monard; Huei Diana Lee (BRACIS, 2013)

Evaluating Feature Selection Methods for Multi-Label Text Classication. - Newton Spolaôr; Grigorios Tsoumakas (BioASQ@CLEF, 2013)

A Framework to Generate Synthetic Multi-label Datasets. - Jimena Torres Tomás; Newton Spolaôr; Everton Alvares Cherman; Maria Carolina Monard (CLEI Selected Papers, 2013)

Label Construction for Multi-label Feature Selection. - Newton Spolaôr; Maria Carolina Monard; Grigorios Tsoumakas; Huei Diana Lee (BRACIS, 2014)

A framework for multi-label exploratory data analysis: ML-EDA. - Victor Augusto Moraes Carvalho; Newton Spolaôr; Everton Alvares Cherman; Maria Carolina Monard (CLEI, 2014)

Evaluating ReliefF-Based Multi-Label Feature Selection Algorithm. - Newton Spolaôr; Maria Carolina Monard (IBERAMIA, 2014)

Feature selection for multi-label learning (Seleção de atributos para aprendizagem multirrótulo). - Newton Spolaôr (2014)

Feature Selection for Multi-Label Learning. - Newton Spolaôr; Maria Carolina Monard; Huei Diana Lee (IJCAI, 2015)

Comparing published multi-label classifier performance measures to the ones obtained by a simple multi-label baseline classifier. - Jean Metz; Newton Spolaôr; Everton Alvares Cherman; Maria Carolina Monard (CoRR, 2015)

Feature Selection for Multi-label Learning: A Systematic Literature Review and Some Experimental Evaluations. - Newton Spolaôr; Huei Diana Lee; Weber Shoity Resende Takaki; Feng Chung Wu (Int. J. Comput. Intell. Syst., 2015)

Lazy Multi-label Learning Algorithms Based on Mutuality Strategies. - Everton Alvares Cherman; Newton Spolaôr; Jorge Carlos Valverde-Rebaza; Maria Carolina Monard (J. Intell. Robotic Syst., 2015)

Prototype system for feature extraction, classification and study of medical images. - Jefferson Tales Oliva; Huei Diana Lee; Newton Spolaôr; Cláudio Saddy Rodrigues Coy; Feng Chung Wu (Expert Syst. Appl., 2016)

A systematic review of multi-label feature selection and a new method based on label construction. - Newton Spolaôr; Maria Carolina Monard; Grigorios Tsoumakas; Huei Diana Lee (Neurocomputing, 2016)

Feature Selection via Pareto Multi-objective Genetic Algorithms. - Newton Spolaôr; Ana Carolina Lorena; Huei Diana Lee (Appl. Artif. Intell., 2017)

Robotics applications grounded in learning theories on tertiary education: A systematic review. - Newton Spolaôr; Fabiane Barreto Vavassori Benitti (Comput. Educ., 2017)

Dermoscopic assisted diagnosis in melanoma: Reviewing results, optimizing methodologies and quantifying empirical guidelines. - Huei Diana Lee; Ana Isabel Mendes; Newton Spolaôr; Jefferson Tales Oliva; Antonio Rafael Sabino Parmezan; Feng Chung Wu; Rui Fonseca-Pinto (Knowl. Based Syst., 2018)

A computational system based on ontologies to automate the mapping process of medical reports into structured databases. - Jefferson Tales Oliva; Huei Diana Lee; Newton Spolaôr; Weber Shoity Resende Takaki; Cláudio Saddy Rodrigues Coy; João José Fagundes; Feng Chung Wu (Expert Syst. Appl., 2019)

Web System Prototype based on speech recognition to construct medical reports in Brazilian Portuguese. - Thiago Ferreira de Toledo; Huei Diana Lee; Newton Spolaôr; Cláudio Saddy Rodrigues Coy; Feng Chung Wu (Int. J. Medical Informatics, 2019)

A systematic review on content-based video retrieval. - Newton Spolaôr; Huei Diana Lee; Weber Shoity Resende Takaki; Leandro Augusto Ensina; Cláudio Saddy Rodrigues Coy; Feng Chung Wu (Eng. Appl. Artif. Intell., 2020)

Automatic recommendation of feature selection algorithms based on dataset characteristics. - Antonio Rafael Sabino Parmezan; Huei Diana Lee; Newton Spolaôr; Feng Chung Wu (Expert Syst. Appl., 2021)

A video indexing and retrieval computational prototype based on transcribed speech. - Newton Spolaôr; Huei Diana Lee; Weber Shoity Resende Takaki; Leandro Augusto Ensina; Antonio Rafael Sabino Parmezan; Jefferson Tales Oliva; Cláudio Saddy Rodrigues Coy; Feng Chung Wu (Multim. Tools Appl., 2021)

Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets. - Newton Spolaôr; Huei Diana Lee; Ana Isabel Mendes; Conceição Veloso Nogueira; Antonio Rafael Sabino Parmezan; Weber Shoity Resende Takaki; Cláudio Saddy Rodrigues Coy; Feng Chung Wu; Rui Fonseca-Pinto (Multim. Tools Appl., 2024)