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J. Salvador Sánchez · Study

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J. Salvador Sánchez

10 works· latest 2024· 1 institutionscluster: provisionalORCID 0000-0003-1053-4658

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Citations843

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Most cited in this library

Exploring the behaviour of base classifiers in credit scoring ensembles2012 · 142 citations
Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction2018 · 138 citations
Two-level classifier ensembles for credit risk assessment2012 · 119 citations
A literature review on the application of evolutionary computing to credit scoring2012 · 109 citations
Financial distress prediction using the hybrid associative memory with translation2016 · 83 citations

Works

10 shown

A survey on uncertainty quantification in deep learning for financial time series prediction

Neurocomputing·2024·3 authors·Open access

47citations

Ranking-based MCDM models in financial management applications: analysis and emerging challenges

Progress in Artificial Intelligence·2020·3 authors

66citations

Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction

Information Fusion·2018·3 authors·Open access

138citations

Dissimilarity-Based Linear Models for Corporate Bankruptcy Prediction

Computational Economics·2017·4 authors·Open access

33citations

Financial distress prediction using the hybrid associative memory with translation

Applied Soft Computing·2016·4 authors·Open access

83citations

An insight into the experimental design for credit risk and corporate bankruptcy prediction systems

Journal of Intelligent Information Systems·2014·3 authors·Open access

75citations

A literature review on the application of evolutionary computing to credit scoring

Journal of the Operational Research Society·2012·3 authors·Open access

109citations

On the use of data filtering techniques for credit risk prediction with instance-based models

Expert Systems with Applications·2012·3 authors

31citations

Two-level classifier ensembles for credit risk assessment

Expert Systems with Applications·2012·3 authors

119citations

Exploring the behaviour of base classifiers in credit scoring ensembles

Expert Systems with Applications·2012·3 authors

142citations