Newton Spolaôr

发表

Analysis of complexity indices for classification problems: Cancer gene expression data

Ana Carolina Lorena, Ivan G. Costa, Newton Spolaôr, 2012, Neurocomputing.

Use of Multiobjective Genetic Algorithms in Feature Selection

Ana Carolina Lorena, Newton Spolaôr, Huei Diana Lee, 2010, 2010 Eleventh Brazilian Symposium on Neural Networks.

A systematic review on content-based video retrieval

Newton Spolaôr, Huei Diana Lee, Cláudio Saddy Rodrigues Coy, 2020, Eng. Appl. Artif. Intell..

Ontology-Based Process for Unstructured Medical Report Mapping

Newton Spolaôr, Huei Diana Lee, Cláudio Saddy Rodrigues Coy, 2019, Machine Learning in Bio-Signal Analysis and Diagnostic Imaging.

On the Complexity of Gene Marker Selection

Ana Carolina Lorena, Ivan G. Costa, Newton Spolaôr, 2010, 2010 Eleventh Brazilian Symposium on Neural Networks.

A framework for multi-label exploratory data analysis: ML-EDA

Newton Spolaôr, Everton Alvares Cherman, M. C. Monard, 2014, 2014 XL Latin American Computing Conference (CLEI).

Evaluating ReliefF-Based Multi-Label Feature Selection Algorithm

Newton Spolaôr, M. C. Monard, Maria Carolina Monard, 2014, IBERAMIA.

Feature selection for multi-label learning (Seleção de atributos para aprendizagem multirrótulo)

Newton Spolaôr, 2014 .

A computational system based on ontologies to automate the mapping process of medical reports into structured databases

Newton Spolaôr, Huei Diana Lee, Cláudio Saddy Rodrigues Coy, 2019, Expert Syst. Appl..

A Comparison of Multi-label Feature Selection Methods using the Problem Transformation Approach

Newton Spolaôr, Everton Alvares Cherman, M. C. Monard, 2013, CLEI Selected Papers.

Comparing published multi-label classifier performance measures to the ones obtained by a simple multi-label baseline classifier pdf

Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard, 2015, ArXiv.

Multi-objective Genetic Algorithm Evaluation in Feature Selection

Ana Carolina Lorena, Newton Spolaôr, Huei Diana Lee, 2011, EMO.

Dermoscopic assisted diagnosis in melanoma: Reviewing results, optimizing methodologies and quantifying empirical guidelines

Newton Spolaôr, Rui Fonseca-Pinto, Huei Diana Lee, 2018, Knowl. Based Syst..

Filter Approach Feature Selection Methods to Support Multi-label Learning Based on ReliefF and Information Gain

Newton Spolaôr, Everton Alvares Cherman, M. C. Monard, 2012, SBIA.

Evaluating Feature Selection Methods for Multi-Label Text Classication

Grigorios Tsoumakas, Newton Spolaôr, Grigorios Tsoumakas, 2013, BioASQ@CLEF.

Feature Selection for Multi-label Learning: A Systematic Literature Review and Some Experimental Evaluations

Newton Spolaôr, Huei Diana Lee, Feng Chung Wu, 2015, Int. J. Comput. Intell. Syst..

Web System Prototype based on speech recognition to construct medical reports in Brazilian Portuguese

Newton Spolaôr, Huei Diana Lee, Cláudio Saddy Rodrigues Coy, 2019, Int. J. Medical Informatics.

Heuristics-based Responsiveness Evaluation of a Telemedicine Computational Web System

Newton Spolaôr, Huei Diana Lee, Feng Chung Wu, 2019, IEEE Latin America Transactions.

Feature Selection for Multi-Label Learning

Newton Spolaôr, M. C. Monard, Huei Diana Lee, 2015, IJCAI.

Lazy Multi-label Learning Algorithms Based on Mutuality Strategies

Newton Spolaôr, Everton Alvares Cherman, M. C. Monard, 2015, J. Intell. Robotic Syst..

ReliefF for Multi-label Feature Selection

Newton Spolaôr, Everton Alvares Cherman, M. C. Monard, 2013, 2013 Brazilian Conference on Intelligent Systems.

Prototype system for feature extraction, classification and study of medical images

Newton Spolaôr, Huei Diana Lee, Cláudio Saddy Rodrigues Coy, 2016, Expert Syst. Appl..

Feature Selection via Pareto Multi-objective Genetic Algorithms

Ana Carolina Lorena, Newton Spolaôr, Huei Diana Lee, 2017, Appl. Artif. Intell..

A Framework to Generate Synthetic Multi-label Datasets

Newton Spolaôr, Everton Alvares Cherman, M. C. Monard, 2014, CLEI Selected Papers.

Label Construction for Multi-label Feature Selection

Grigorios Tsoumakas, Newton Spolaôr, M. C. Monard, 2014, 2014 Brazilian Conference on Intelligent Systems.

Robotics applications grounded in learning theories on tertiary education: A systematic review

Newton Spolaôr, Fabiane Barreto Vavassori Benitti, N. Spolaôr, 2017, Comput. Educ..

A systematic review of multi-label feature selection and a new method based on label construction

Grigorios Tsoumakas, Newton Spolaôr, M. C. Monard, 2016, Neurocomputing.

A systematic review on experimental multi-label learning

Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard, 2013 .

How Have Robots Supported STEM Teaching

Newton Spolaôr, Fabiane Barreto Vavassori Benitti, N. Spolaôr, 2017 .

Complexity measures of supervised classifications tasks: A case study for cancer gene expression data

Ana Carolina Lorena, Ivan G. Costa, Newton Spolaôr, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

A video indexing and retrieval computational prototype based on transcribed speech

Newton Spolaôr, Leandro Augusto Ensina, Jefferson Tales Oliva, 2021, Multimedia Tools and Applications.

Automatic recommendation of feature selection algorithms based on dataset characteristics

Newton Spolaôr, Antonio Rafael Sabino Parmezan, Huei Diana Lee, 2021, Expert Syst. Appl..

Proceedings of the 3rd IPLeiria’s International Health Congress

Arsénio Reis, Gerald Lirk, Hugo Paredes, 2016, BMC Health Services Research.