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Semantic ScholarFrancisco Charte
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2010 – today
- 2019
[j8]Francisco Charte, Antonio J. Rivera, María José del Jesús, Francisco Herrera:
Dealing with difficult minority labels in imbalanced mutilabel data sets. Neurocomputing 326-327: 39-53 (2019)- [j7]Francisco Charte, Antonio J. Rivera, María José del Jesús, Francisco Herrera:
REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization. Neurocomputing 326-327: 110-122 (2019) - 2018
- [j6]Francisco Charte, Antonio J. Rivera, David Charte, María José del Jesús, Francisco Herrera:
Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository. Neurocomputing 289: 68-85 (2018) - [j5]David Charte, Francisco Charte, Salvador García, María José del Jesús, Francisco Herrera:
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines. Information Fusion 44: 78-96 (2018) - [c17]Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesús:
A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders. IDEAL (1) 2018: 439-447 - [c16]Daniel Trujillo Viedma, Antonio Jesús Rivera Rivas, Francisco Charte Ojeda, María José del Jesus Díaz:
An Approximation to Deep Learning Touristic-Related Time Series Forecasting. IDEAL (1) 2018: 448-456 - [i6]David Charte, Francisco Charte, Salvador García, María José del Jesús, Francisco Herrera:
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines. CoRR abs/1801.01586 (2018) - [i5]Francisco Charte, Antonio J. Rivera, David Charte, María José del Jesús, Francisco Herrera:
Tips, guidelines and tools for managing multi-label datasets: the mldr.datasets R package and the Cometa data repository. CoRR abs/1802.03568 (2018) - [i4]Francisco Charte, Antonio J. Rivera, María José del Jesús, Francisco Herrera:
Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization. CoRR abs/1802.05031 (2018) - [i3]Francisco Charte, Antonio J. Rivera, María José del Jesús, Francisco Herrera:
Dealing with Difficult Minority Labels in Imbalanced Mutilabel Data Sets. CoRR abs/1802.05033 (2018) - [i2]Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesús:
AEkNN: An AutoEncoder kNN-based classifier with built-in dimensionality reduction. CoRR abs/1802.08465 (2018) - [i1]David Charte, Francisco Charte, Salvador García, Francisco Herrera:
A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods. CoRR abs/1811.12044 (2018) - 2017
- [j4]Francisco Charte, Inmaculada Romero, María Dolores Pérez-Godoy, Antonio J. Rivera, Eulogio Castro:
Comparative analysis of data mining and response surface methodology predictive models for enzymatic hydrolysis of pretreated olive tree biomass. Computers & Chemical Engineering 101: 23-30 (2017) - [c15]Ronaldo C. Prati, Francisco Charte, Francisco Herrera:
A first approach towards a fuzzy decision tree for multilabel classification. FUZZ-IEEE 2017: 1-6 - [c14]Francisco Javier Pulgar, Antonio J. Rivera, Francisco Charte, María José del Jesús:
On the Impact of Imbalanced Data in Convolutional Neural Networks Performance. HAIS 2017: 220-232 - [c13]Antonio Jesús Rivera Rivas, Francisco Charte Ojeda, Francisco Javier Pulgar, María José del Jesús:
A Transformation Approach Towards Big Data Multilabel Decision Trees. IWANN (1) 2017: 73-84 - [c12]Francisco Charte Ojeda, Inmaculada Romero, Antonio Jesús Rivera Rivas, Eulogio Castro:
Modeling the Transformation of Olive Tree Biomass into Bioethanol with Reg-CO ^2 RBFN. IWANN (1) 2017: 733-744 - 2016
- [b1]Francisco Herrera, Francisco Charte, Antonio J. Rivera, María José del Jesús:
Multilabel Classification - Problem Analysis, Metrics and Techniques. Springer 2016, ISBN 978-3-319-41110-1, pp. 1-194 - [c11]Francisco Charte, David Charte, Antonio J. Rivera, María José del Jesús, Francisco Herrera:
R Ultimate Multilabel Dataset Repository. HAIS 2016: 487-499 - [c10]Francisco Charte, Antonio J. Rivera, María José del Jesús, Francisco Herrera:
On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance. HAIS 2016: 500-511 - 2015
- [j3]Francisco Charte, Antonio J. Rivera, María José del Jesús, Francisco Herrera:
Addressing imbalance in multilabel classification: Measures and random resampling algorithms. Neurocomputing 163: 3-16 (2015) - [j2]Francisco Charte, Antonio J. Rivera, María José del Jesús, Francisco Herrera:
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation. Knowl.-Based Syst. 89: 385-397 (2015) - [c9]Francisco Charte, Antonio J. Rivera, María José del Jesús, Francisco Herrera:
QUINTA: A question tagging assistant to improve the answering ratio in electronic forums. EUROCON 2015: 1-6 - [c8]Francisco Charte, Antonio Jesús Rivera, María José del Jesús, Francisco Herrera:
Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels. HAIS 2015: 489-501 - [c7]María Dolores Pérez-Godoy, Antonio Jesús Rivera, Francisco Charte, María José del Jesús:
CO ^2 RBFN-CS: First Approach Introducing Cost-Sensitivity in the Cooperative-Competitive RBFN Design. IWANN (1) 2015: 361-373 - 2014
- [j1]Francisco Charte, Antonio J. Rivera, María José del Jesús, Francisco Herrera:
LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification. IEEE Trans. Neural Netw. Learning Syst. 25(10): 1842-1854 (2014) - [c6]Francisco Charte, Antonio Jesús Rivera Rivas, María José del Jesús, Francisco Herrera:
Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms. HAIS 2014: 110-121 - [c5]Francisco Charte, Antonio J. Rivera, María José del Jesús, Francisco Herrera:
MLeNN: A First Approach to Heuristic Multilabel Undersampling. IDEAL 2014: 1-9 - 2013
- [c4]Francisco Charte, Antonio Jesús Rivera Rivas, María José del Jesús, Francisco Herrera:
A First Approach to Deal with Imbalance in Multi-label Datasets. HAIS 2013: 150-160 - [c3]Francisco Charte Ojeda, Antonio Jesús Rivera Rivas, María Dolores Pérez-Godoy, María José del Jesús:
Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks. IWANN (1) 2013: 331-338 - 2012
- [c2]Francisco Charte, Antonio Jesús Rivera Rivas, María José del Jesús, Francisco Herrera:
Improving Multi-label Classifiers via Label Reduction with Association Rules. HAIS (2) 2012: 188-199 - 2011
- [c1]Antonio Jesús Rivera Rivas, Francisco Charte, M. Dolores Pérez-Godoy, María José del Jesús:
Multi-label Testing for CO2RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification. IWANN (1) 2011: 41-48
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