Newton Spolaôr

Conceição Veloso Nogueira

Ana Isabel Mendes

Rui Fonseca-Pinto

Multim. Tools Appl., March, 2024

2021

A video indexing and retrieval computational prototype based on transcribed speech.

[BibT_eX]

[DOI]

Leandro Augusto Ensina

Multim. Tools Appl., 2021

Automatic recommendation of feature selection algorithms based on dataset characteristics.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

2020

A systematic review on content-based video retrieval.

[BibT_eX]

[DOI]

Leandro Augusto Ensina

Thiago Ferreira de Toledo

Eng. Appl. Artif. Intell., 2020

2019

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

[BibT_eX]

[DOI]

Int. J. Medical Informatics, 2019

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

[BibT_eX]

[DOI]

João José Fagundes

Expert Syst. Appl., 2019

2018

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

[BibT_eX]

[DOI]

Ana Isabel Mendes

Rui Fonseca-Pinto

Knowl. Based Syst., 2018

2017

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

[BibT_eX]

[DOI]

Fabiane Barreto Vavassori Benitti

Comput. Educ., 2017

Feature Selection via Pareto Multi-objective Genetic Algorithms.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2017

2016

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

[BibT_eX]

[DOI]

Grigorios Tsoumakas

Neurocomputing, 2016

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

[BibT_eX]

[DOI]

Expert Syst. Appl., 2016

2015

Lazy Multi-label Learning Algorithms Based on Mutuality Strategies.

[BibT_eX]

[DOI]

Jorge Carlos Valverde-Rebaza

J. Intell. Robotic Syst., 2015

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

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Syst., 2015

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

[BibT_eX]

[DOI]

Jean Metz

CoRR, 2015

Feature Selection for Multi-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

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

[BibT_eX]

[DOI]

PhD thesis, 2014

Evaluating ReliefF-Based Multi-Label Feature Selection Algorithm.

[BibT_eX]

[DOI]

Victor Augusto Moraes Carvalho

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

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

[BibT_eX]

[DOI]

Proceedings of the XL Latin American Computing Conference, 2014

Label Construction for Multi-label Feature Selection.

[BibT_eX]

[DOI]

Grigorios Tsoumakas

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013

A Framework to Generate Synthetic Multi-label Datasets.

[BibT_eX]

[DOI]

Jimena Torres Tomás

Proceedings of the XXXIX Latin American Computer Conference - Selected Papers, 2013

Evaluating Feature Selection Methods for Multi-Label Text Classication.

[BibT_eX]

[DOI]

Grigorios Tsoumakas

Proceedings of the first Workshop on Bio-Medical Semantic Indexing and Question Answering, 2013

ReliefF for Multi-label Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012

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

[BibT_eX]

[DOI]

Ivan G. Costa

Marcílio Carlos Pereira de Souto

Neurocomputing, 2012

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

[BibT_eX]

[DOI]

Proceedings of the XXXVIII Latin American Computer Conference - Selected Papers, 2012

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence - SBIA 2012, 2012

2011

Multi-objective Genetic Algorithm Evaluation in Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

2010

Use of Multiobjective Genetic Algorithms in Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

On the Complexity of Gene Marker Selection.

[BibT_eX]

[DOI]

Marcílio Carlos Pereira de Souto

Ivan G. Costa

Marcilio C. P. de Souto

Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

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

[BibT_eX]

[DOI]