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Francisco Charte
Francisco Charte
Assistant Professor at Computer Science Dept. Universidad de Jaén
Verified email at ujaen.es - Homepage
Title
Cited by
Cited by
Year
Multilabel classification
F Herrera, F Charte, AJ Rivera, MJ Del Jesus
Multilabel Classification, 17-31, 2016
2692016
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines
D Charte, F Charte, S García, MJ del Jesus, F Herrera
IX Simposio de Teoría y Aplicaciones de la Minería de Datos; XVIII …, 2018
2262018
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines
D Charte, F Charte, S García, MJ del Jesus, F Herrera
Information Fusion 44, 78--96, 2018
2262018
Addressing imbalance in multilabel classification: Measures and random resampling algorithms
F Charte, AJ Rivera, MJ del Jesus, F Herrera
Neurocomputing 163, 3-16, 2015
2022015
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation
F Charte, AJ Rivera, MJ del Jesus, F Herrera
Knowledge-Based Systems 89, 385-397, 2015
1492015
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
JM Górriz, J Ramírez, A Ortíz, FJ Martínez-Murcia, F Segovia, J Suckling, ...
Neurocomputing 410, 237-270, 2020
952020
A first approach to deal with imbalance in multi-label datasets
F Charte, A Rivera, MJ del Jesus, F Herrera
International Conference on Hybrid Artificial Intelligence Systems, 150-160, 2013
702013
Working with Multilabel Datasets in R: The mldr Package
F Charte, D Charte
The R Journal 7 (2), 14, 2015
592015
Is the average photon energy a unique characteristic of the spectral distribution of global irradiance?
G Nofuentes, CA Gueymard, J Aguilera, MD Pérez-Godoy, F Charte
Solar Energy 149, 32-43, 2017
412017
Concurrence among imbalanced labels and its influence on multilabel resampling algorithms
F Charte, A Rivera, MJ del Jesus, F Herrera
International Conference on Hybrid Artificial Intelligence Systems, 110-121, 2014
412014
LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification
F Charte, AJ Rivera, MJ Del Jesus, F Herrera
IEEE Transactions on Neural Networks and Learning Systems 25 (10), 1842-1854, 2014
382014
Dealing with difficult minority labels in imbalanced mutilabel data sets
F Charte, AJ Rivera, MJ del Jesus, F Herrera
Neurocomputing 326, 39-53, 2019
362019
An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges
D Charte, F Charte, MJ del Jesus, F Herrera
Neurocomputing 404, 93-107, 2020
332020
A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations
D Charte, F Charte, S García, F Herrera
Progress in Artificial Intelligence, 1-14, 2018
302018
QUINTA: a question tagging assistant to improve the answering ratio in electronic forums
F Charte, AJ Rivera, MJ del Jesus, F Herrera
IEEE EUROCON 2015-International Conference on Computer as a Tool (EUROCON), 1-6, 2015
302015
MLeNN: a first approach to heuristic multilabel undersampling
F Charte, AJ Rivera, MJ del Jesus, F Herrera
International Conference on Intelligent Data Engineering and Automated …, 2014
302014
Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines
FJ Pulgar, F Charte, AJ Rivera, MJ del Jesus
Information Fusion 54, 44-60, 2020
292020
REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization
F Charte, AJ Rivera, MJ del Jesus, F Herrera
Neurocomputing 326, 110-122, 2019
262019
R ultimate multilabel dataset repository
F Charte, D Charte, A Rivera, MJ del Jesus, F Herrera
International Conference on Hybrid Artificial Intelligence Systems, 487-499, 2016
262016
Programación con C++ Builder 5
F Charte
EDICIONES ANAYA MULTIMEDIA, 2000
242000
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