N. Spolaôr

发表

Proceedings of the 3rd IPLeiria’s International Health Congress

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

Feature extraction , selection and classification in Dermoscopy : an experimental comparison of intelligent methods to support decision making in medicine

A. R. S. Parmezan, R. Fonseca-Pinto, H. D. Lee, 2019 .

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.

Lazy Multi-label Learning Algorithms Based on Mutuality Strategies

M. C. Monard, N. Spolaôr, J. Valverde-Rebaza, 2014, Journal of Intelligent and Robotic Systems.

A systematic review on content-based video retrieval

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

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

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

Feature Selection via Pareto Multi-objective Genetic Algorithms

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

Feature selection before EEG classification supports the diagnosis of Alzheimer’s disease

Ana Carolina Lorena, L. R. Trambaiolli, A. C. Lorena, 2017, Clinical Neurophysiology.

Use of Multiobjective Genetic Algorithms in Feature Selection

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

Automatic recommendation of feature selection algorithms based on dataset characteristics

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

Heuristics-based Responsiveness Evaluation of a Telemedicine Computational Web System

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

A video indexing and retrieval computational prototype based on transcribed speech

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

Multi-objective Genetic Algorithm Evaluation in Feature Selection

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

Label Construction for Multi-label Feature Selection

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

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..

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.

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..

Evaluating Intelligent Methods for Decision Making Support in Dermoscopy Based on Information Gain and Ensemble

R. Fonseca-Pinto, H. D. Lee, N. Spolaôr, 2021, Computational Intelligence for Business Analytics.

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.

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..

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).

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

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

Lazy Multi-label Learning Algorithms Based on Mutuality Strategies

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

Evaluating Feature Selection Methods for Multi-Label Text Classication

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

Proceedings of the 3rd IPLeiria’s International Health Congress

Valentim R. Alferes, Laura A. Márquez, Sónia M. A. Morgado, 2016, BMC health services research.

On the Complexity of Gene Marker Selection

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

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).

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.

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..

How Have Robots Supported STEM Teaching

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

Feature Selection for Multi-Label Learning

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

Evaluating ReliefF-Based Multi-Label Feature Selection Algorithm

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

A Framework to Generate Synthetic Multi-label Datasets

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

Proceedings of the 3rd IPLeiria’s International Health Congress

Valentim R. Alferes, Laura A. Márquez, Sónia M. A. Morgado, 2016, BMC Health Services Research.