A snapshot on nonstandard supervised learning problems: taxonomy,
relationships and methods

A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods

29 November 2018

Francisco Herrera

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Papers citing "A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods"

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Title
mldr.resampling: Efficient Reference Implementations of Multilabel Resampling Algorithms Antonio J. Rivera Miguel A. Dávila David Elizondo M. J. D. Jesus F. Charte 52 1 0 26 May 2023
$EvoAAA: An evolutionary methodology for automated \neural autoencoder architecture search$ EvoAAA: An evolutionary methodology for automated \neural autoencoder architecture search F. Charte Antonio J. Rivera F. Martínez M. J. D. Jesus 61 13 0 15 Jan 2023
Multi-label Ranking: Mining Multi-label and Label Ranking Data L. Dery 50 7 0 03 Jan 2021
Revisiting Data Complexity Metrics Based on Morphology for Overlap and Imbalance: Snapshot, New Overlap Number of Balls Metrics and Singular Problems Prospect José Daniel Pascual-Triana D. Charte Marta Andrés Arroyo Alberto Fernández Francisco Herrera 34 18 0 15 Jul 2020
A Showcase of the Use of Autoencoders in Feature Learning Applications D. Charte F. Charte M. J. D. Jesus Francisco Herrera SyDa OOD AI4TS 15 4 0 08 May 2020
Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise S. González S. García Sheng-Tun Li R. John Francisco Herrera 52 16 0 05 Mar 2020
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms, Experimental Analysis, Prospects and Challenges (with Appendices on Mathematical Background and Detailed Algorithms Explanation) Juan-Luis Suárez S. García Francisco Herrera DML 129 42 0 14 Dec 2018
Monotonic classification: an overview on algorithms, performance measures and data sets J. Cano Pedro Antonio Gutiérrez Bartosz Krawczyk Michal Wozniak S. García 41 78 0 17 Nov 2018