![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Antonio J. Rivera
Person information
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j31]María Dolores Pérez-Godoy, Marta Molina, Francisco Martínez, David A. Elizondo, Francisco Charte, Antonio J. Rivera:
DESReg: Dynamic Ensemble Selection library for Regression tasks. Neurocomputing 580: 127487 (2024) - 2023
- [j30]Antonio Jesús Rivera
, J. Cobo Muñoz, M. Dolores Pérez-Godoy, B. Sáenz de San Pedro, Francisco Charte, David A. Elizondo, C. Rodríguez, M. L. Abolafia, A. Perea, María José del Jesus:
XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department. Artif. Intell. Medicine 137: 102494 (2023) - [j29]Antonio J. Rivera, Miguel A. Dávila, David A. Elizondo, María José del Jesus, Francisco Charte
:
mldr.resampling: Efficient reference implementations of multilabel resampling algorithms. Neurocomputing 559: 126806 (2023) - [c37]Maria Isabel Cabrera-Bermejo
, María José del Jesus, Antonio J. Rivera
, David A. Elizondo
, Francisco Charte
, M. Dolores Pérez-Godoy
:
Analysis of Transformer Model Applications. HAIS 2023: 231-243 - [c36]David de la Rosa, Antonio Álvarez, Ramón Pérez, Germán Garrote, Antonio J. Rivera
, María José del Jesus
, Francisco Charte
:
NOSpcimen: A First Approach to Unsupervised Discarding of Empty Photo Trap Images. IWANN (2) 2023: 39-51 - [i7]Francisco Charte, Antonio J. Rivera, Francisco Martínez, María José del Jesus:
EvoAAA: An evolutionary methodology for automated \neural autoencoder architecture search. CoRR abs/2301.06047 (2023) - [i6]Antonio J. Rivera, Miguel A. Dávila, David A. Elizondo, María José del Jesus, Francisco Charte:
mldr.resampling: Efficient Reference Implementations of Multilabel Resampling Algorithms. CoRR abs/2305.17152 (2023) - [i5]David de la Rosa, Antonio J. Rivera, María José del Jesus, Francisco Charte:
PARDINUS: Weakly supervised discarding of photo-trapping empty images based on autoencoders. CoRR abs/2312.14812 (2023) - 2022
- [j28]Francisco Martínez
, María Pilar Frías, María Dolores Pérez-Godoy
, Antonio J. Rivera
:
Time Series Forecasting by Generalized Regression Neural Networks Trained With Multiple Series. IEEE Access 10: 3275-3283 (2022) - [j27]Antonio J. Rivera, María Dolores Pérez-Godoy, David A. Elizondo, Lipika Deka, María José del Jesus:
Analysis of clustering methods for crop type mapping using satellite imagery. Neurocomputing 492: 91-106 (2022) - 2021
- [j26]Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus:
ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders. Inf. Sci. 565: 146-176 (2021) - 2020
- [j25]Francisco Charte, Antonio J. Rivera, Francisco Martínez
, María José del Jesus:
EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search. Integr. Comput. Aided Eng. 27(3): 211-231 (2020) - [j24]Francisco Javier Pulgar
, Francisco Charte
, Antonio J. Rivera
, María José del Jesus:
Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines. Inf. Fusion 54: 44-60 (2020) - [c35]Antonio Jesús Rivera, María Dolores Pérez-Godoy, David A. Elizondo, Lipika Deka
, María José del Jesus:
A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops. SOCO 2020: 276-285
2010 – 2019
- 2019
- [j23]Francisco Martínez
, María Pilar Frías
, María Dolores Pérez-Godoy
, Antonio Jesús Rivera
:
A methodology for applying k-nearest neighbor to time series forecasting. Artif. Intell. Rev. 52(3): 2019-2037 (2019) - [j22]Francisco Javier Pulgar
, Francisco Charte
, Antonio J. Rivera
, María José del Jesus:
AEkNN: An AutoEncoder kNN-Based Classifier With Built-in Dimensionality Reduction. Int. J. Comput. Intell. Syst. 12(1): 436-452 (2019) - [j21]Francisco Charte, Antonio J. Rivera
, María José del Jesus, Francisco Herrera:
Dealing with difficult minority labels in imbalanced mutilabel data sets. Neurocomputing 326-327: 39-53 (2019) - [j20]Francisco Charte, Antonio J. Rivera
, María José del Jesus, Francisco Herrera:
REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization. Neurocomputing 326-327: 110-122 (2019) - [j19]Francisco Charte
, Alberto Vico, María Dolores Pérez-Godoy, Antonio J. Rivera
:
predtoolsTS: R package for streamlining time series forecasting. Prog. Artif. Intell. 8(4): 505-510 (2019) - [j18]Francisco Martínez
, María Pilar Frías
, Francisco Charte, Antonio J. Rivera:
Time Series Forecasting with KNN in R: the tsfknn Package. R J. 11(2): 229 (2019) - [c34]Francisco Martínez
, Francisco Charte, Antonio J. Rivera
, María Pilar Frías:
Automatic Time Series Forecasting with GRNN: A Comparison with Other Models. IWANN (1) 2019: 198-209 - [c33]Daniel Trujillo Viedma, Antonio Jesús Rivera Rivas
, Francisco Charte Ojeda, María José del Jesus Díaz:
A First Approximation to the Effects of Classical Time Series Preprocessing Methods on LSTM Accuracy. IWANN (1) 2019: 270-280 - [c32]Francisco Charte, Antonio J. Rivera
, Francisco Martínez
, María José del Jesus:
Automating Autoencoder Architecture Configuration: An Evolutionary Approach. IWINAC (1) 2019: 339-349 - 2018
- [j17]Francisco Martínez
, María Pilar Frías
, María Dolores Pérez-Godoy, Antonio Jesús Rivera
:
Dealing with seasonality by narrowing the training set in time series forecasting with kNN. Expert Syst. Appl. 103: 38-48 (2018) - [j16]Francisco Charte, Antonio J. Rivera
, David Charte, María José del Jesus, 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) - [c31]Francisco Javier Pulgar
, Francisco Charte
, Antonio J. Rivera
, María José del Jesus:
A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders. IDEAL (1) 2018: 439-447 - [c30]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 - [i4]Francisco Charte, Antonio J. Rivera, David Charte, María José del Jesus, 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) - [i3]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization. CoRR abs/1802.05031 (2018) - [i2]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
Dealing with Difficult Minority Labels in Imbalanced Mutilabel Data Sets. CoRR abs/1802.05033 (2018) - [i1]Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus:
AEkNN: An AutoEncoder kNN-based classifier with built-in dimensionality reduction. CoRR abs/1802.08465 (2018) - 2017
- [j15]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. Comput. Chem. Eng. 101: 23-30 (2017) - [j14]Francisco Javier Pulgar, Antonio Jesús Rivera Rivas
, María Dolores Pérez-Godoy, Pedro González
, Cristóbal J. Carmona
, María José del Jesus
:
MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution. Knowl. Based Syst. 117: 70-78 (2017) - [c29]Francisco Javier Pulgar
, Antonio J. Rivera
, Francisco Charte
, María José del Jesus
:
On the Impact of Imbalanced Data in Convolutional Neural Networks Performance. HAIS 2017: 220-232 - [c28]Antonio Jesús Rivera Rivas, Francisco Charte Ojeda, Francisco Javier Pulgar
, María José del Jesus
:
A Transformation Approach Towards Big Data Multilabel Decision Trees. IWANN (1) 2017: 73-84 - [c27]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 Jesus:
Multilabel Classification - Problem Analysis, Metrics and Techniques. Springer 2016, ISBN 978-3-319-41110-1, pp. 1-194 - [c26]Cristóbal J. Carmona
, Francisco Javier Pulgar
, Antonio Jesús Rivera Rivas
, María José del Jesus
, Jorge Aguilera
:
Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach. HAIS 2016: 273-282 - [c25]Francisco Charte, David Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
R Ultimate Multilabel Dataset Repository. HAIS 2016: 487-499 - [c24]Francisco Charte, Antonio J. Rivera
, María José del Jesus, Francisco Herrera:
On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance. HAIS 2016: 500-511 - [c23]Macarena Espinilla
, Antonio J. Rivera
, M. Dolores Pérez-Godoy, Javier Medina, Luis Martínez
, Chris D. Nugent:
Recognition of Activities in Resource Constrained Environments; Reducing the Computational Complexity. UCAmI (2) 2016: 64-74 - 2015
- [j13]B. García-Domingo, Cristóbal J. Carmona
, Antonio Jesús Rivera Rivas
, María José del Jesus
, Jorge Aguilera
:
A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions. Expert Syst. Appl. 42(13): 5452-5462 (2015) - [j12]Francisco Charte, Antonio J. Rivera
, María José del Jesus
, Francisco Herrera:
Addressing imbalance in multilabel classification: Measures and random resampling algorithms. Neurocomputing 163: 3-16 (2015) - [j11]Francisco Charte, Antonio J. Rivera
, María José del Jesus
, Francisco Herrera:
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation. Knowl. Based Syst. 89: 385-397 (2015) - [c22]Francisco Charte, Antonio J. Rivera
, María José del Jesus, Francisco Herrera:
QUINTA: A question tagging assistant to improve the answering ratio in electronic forums. EUROCON 2015: 1-6 - [c21]Francisco Charte, Antonio Jesús Rivera
, María José del Jesus
, Francisco Herrera:
Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels. HAIS 2015: 489-501 - [c20]María Dolores Pérez-Godoy, Antonio Jesús Rivera
, Francisco Charte
, María José del Jesus
:
CO ^2 RBFN-CS: First Approach Introducing Cost-Sensitivity in the Cooperative-Competitive RBFN Design. IWANN (1) 2015: 361-373 - 2014
- [j10]M. Dolores Pérez-Godoy
, Antonio J. Rivera
, Cristóbal J. Carmona
, María José del Jesus
:
Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets. Appl. Soft Comput. 25: 26-39 (2014) - [j9]Francisco Charte, Antonio J. Rivera
, María José del Jesus
, Francisco Herrera:
LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification. IEEE Trans. Neural Networks Learn. Syst. 25(10): 1842-1854 (2014) - [c19]Francisco Charte, Antonio Jesús Rivera Rivas
, María José del Jesus, Francisco Herrera:
Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms. HAIS 2014: 110-121 - [c18]Francisco Charte, Antonio J. Rivera
, María José del Jesus, Francisco Herrera:
MLeNN: A First Approach to Heuristic Multilabel Undersampling. IDEAL 2014: 1-9 - 2013
- [j8]Antonio J. Rivera
, B. García-Domingo, María José del Jesus
, Jorge Aguilera
:
Characterization of Concentrating Photovoltaic modules by cooperative competitive Radial Basis Function Networks. Expert Syst. Appl. 40(5): 1599-1608 (2013) - [c17]Francisco Charte, Antonio Jesús Rivera Rivas
, María José del Jesus, Francisco Herrera:
A First Approach to Deal with Imbalance in Multi-label Datasets. HAIS 2013: 150-160 - [c16]M. Dolores Pérez-Godoy
, Antonio J. Rivera
, María José del Jesus, Francisco Martínez:
A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments. IJCNN 2013: 1-8 - [c15]Francisco Charte Ojeda
, Antonio Jesús Rivera Rivas, María Dolores Pérez-Godoy
, María José del Jesus:
Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks. IWANN (1) 2013: 331-338 - 2012
- [c14]Francisco Charte, Antonio Jesús Rivera Rivas
, María José del Jesus, Francisco Herrera:
Improving Multi-label Classifiers via Label Reduction with Association Rules. HAIS (2) 2012: 188-199 - [c13]Antonio J. Rivera
, B. García-Domingo, María José del Jesus
, Jorge Aguilera
:
A Performance Study of Concentrating Photovoltaic Modules Using Neural Networks: An Application with CO2RBFN. SOCO 2012: 439-448 - 2011
- [j7]Antonio Jesús Rivera Rivas
, Pedro Pérez-Recuerda, M. Dolores Pérez-Godoy
, María José del Jesus
, María Pilar Frías
, Manuel Parras
:
A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods. Appl. Intell. 34(3): 331-346 (2011) - [c12]Antonio Jesús Rivera Rivas
, M. Dolores Pérez-Godoy
, María José del Jesus, Pedro Pérez-Recuerda, María Pilar Frías
, Manuel Parras
:
A Summary on the Study of the Medium-Term Forecasting of the Extra-Virgen Olive Oil Price. CAEPIA 2011: 263-272 - [c11]Antonio Jesús Rivera Rivas
, Francisco Charte
, M. Dolores Pérez-Godoy
, María José del Jesus
:
Multi-label Testing for CO2RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification. IWANN (1) 2011: 41-48 - 2010
- [j6]Alberto Guillén
, Ginés Rubio, I. Toda, Antonio J. Rivera
, Héctor Pomares
, Ignacio Rojas Ruiz
:
Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem. Expert Syst. Appl. 37(6): 4050-4057 (2010) - [j5]M. Dolores Pérez-Godoy, Pedro Pérez-Recuerda, Antonio Jesús Rivera Rivas, María José del Jesus
, Cristóbal J. Carmona, María Pilar Frías
, Manuel Parras:
CO2RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market. Int. J. Hybrid Intell. Syst. 7(1): 75-87 (2010) - [j4]Francisco José Berlanga, Antonio Jesús Rivera Rivas
, María José del Jesus
, Francisco Herrera
:
GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems. Inf. Sci. 180(8): 1183-1200 (2010) - [j3]M. Dolores Pérez-Godoy
, Alberto Fernández
, Antonio Jesús Rivera Rivas
, María José del Jesus
:
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets. Pattern Recognit. Lett. 31(15): 2375-2388 (2010) - [j2]M. Dolores Pérez-Godoy
, Antonio Jesús Rivera Rivas
, Francisco José Berlanga, María José del Jesus
:
CO2RBFN: an evolutionary cooperative-competitive RBFN design algorithm for classification problems. Soft Comput. 14(9): 953-971 (2010) - [c10]M. Dolores Pérez-Godoy
, Pedro Pérez-Recuerda, Antonio Jesús Rivera Rivas
, María José del Jesus, María Pilar Frías
, Manuel Parras
:
Intelligent Systems in Long-Term Forecasting of the Extra-Virgin Olive Oil Price in the Spanish Market. IEA/AIE (1) 2010: 205-214 - [c9]M. Dolores Pérez-Godoy
, Antonio Jesús Rivera Rivas
, Cristóbal J. Carmona
, María José del Jesus:
A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design. IJCNN 2010: 1-7 - [c8]M. Dolores Pérez-Godoy
, Pedro Pérez-Recuerda, María Pilar Frías
, Antonio Jesús Rivera Rivas
, Cristóbal J. Carmona
, Manuel Parras
:
CO2RBFN for Short and Medium Term Forecasting of the Extra-Virgin Olive Oil Price. NICSO 2010: 113-125
2000 – 2009
- 2009
- [c7]M. Dolores Pérez-Godoy
, Antonio Jesús Rivera Rivas
, Alberto Fernández
, María José del Jesus, Francisco Herrera:
A Preliminar Analysis of CO2RBFN in Imbalanced Problems. IWANN (1) 2009: 57-64 - [c6]Pedro L. López, Antonio Jesús Rivera Rivas
, M. Dolores Pérez-Godoy
, María José del Jesus, Cristóbal J. Carmona
:
EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design. IWANN (1) 2009: 752-759 - 2008
- [c5]Pedro Pérez-Recuerda, María Pilar Frías
, M. Dolores Pérez-Godoy
, Antonio Jesús Rivera Rivas
, María José del Jesus, Elisabet Parras-Gutierrez, F. J. Torres:
An Study on Data Mining Methods for Short-Term Forecasting of the Extra Virgin Olive Oil Price in the Spanish Market. HIS 2008: 943-946 - 2007
- [j1]Antonio Jesús Rivera Rivas
, Ignacio Rojas
, Julio Ortega Lopera
, María José del Jesus
:
A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks. Soft Comput. 11(7): 655-668 (2007) - [c4]M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, María José del Jesus, Ignacio Rojas:
CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm. IWANN 2007: 324-332 - 2005
- [c3]Antonio Jesús Rivera Rivas, Ignacio Rojas, Julio Ortega:
Application of ANOVA to a Cooperative-Coevolutionary Optimization of RBFNs. IWANN 2005: 297-305 - 2003
- [c2]Antonio Jesús Rivera Rivas, Julio Ortega, Ignacio Rojas, María José del Jesus:
Co-evolutionary Algorithm for RBF by Self-Organizing Population of Neurons. IWANN (1) 2003: 470-477 - 2001
- [c1]Antonio Jesús Rivera Rivas, Julio Ortega, Ignacio Rojas, Alberto Prieto:
Optimizing RBF Networks with Cooperative/Competitive Evolution of Units and Fuzzy Rules. IWANN (1) 2001: 570-578
Coauthor Index
aka: Francisco Charte Ojeda
aka: María José del Jesus Díaz
aka: María Dolores Pérez-Godoy
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-12 21:07 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint