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Antonio J. Rivera

universidad de jaen

25H指数
174论文数
2.2K被引数
收录论文 26
发表时间
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Reducing Experimentation Training Overhead in Time Series Forecasting through LLM Adaptation通过大型语言模型适配减少时间序列预测中的实验训练开销
errINTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING-IDEAL 2025, PT II
IF0
err2026-01-01
err0
PREAI
errGerman-Morales, M.; Rivera, A. J.; del Jesus, M. J.; Carmona, C. J.
err分享
err收藏
Preliminary Analysis of Loss Functions in Generative Model Inversion Attacks生成模型反演攻击中损失函数的初步分析
errINTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING-IDEAL 2025, PT II
IF0
err2026-01-01
err0
PREAI
errMoreno, F.; Rivera, A.; del Jesus, M. J.; Perez-Godoy, M. D.
err分享
err收藏
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations基于低秩适配的基础模型在时间序列预测中的迁移学习
errINFORMATION FUSION
IF15.5
err2025-06-07
err0
errOAAI
errGerman-Morales, M.; Rivera-Rivas, A. J.; Diaz, M. J. del Jesus; Carmona, C. J.
err分享
err收藏
DESReg: Dynamic Ensemble Selection library for Regression tasks
errNEUROCOMPUTING
IF6.5
err2024-05-01
err0
errOAAI
errPerez-Godoy, Marta D.; Molina, Marta; Marttnez, Francisco; Elizondo, David; Charte, Francisco; Rivera, Antonio J.
err分享
err收藏
mldr.resampling: Efficient reference implementations of multilabel resampling algorithms
errNEUROCOMPUTING
IF6.5
err2023-11-01
err0
errOAAI
errRivera, Antonio J.; Davila, Miguel A.; Elizondo, D.; del Jesus, Maria J.; Charte, Francisco
err分享
err收藏
XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department
errARTIFICIAL INTELLIGENCE IN MEDICINE
IF6.2
err2023-03-01
err3
errOAAI
errRivera, A. J.; Munoz, J. Cobo; Perez-Goody, M. D.; de San Pedro, B. Saenz; Charte, F.; Elizondo, D.; Rodriguez, C.; Abolafia, M. L.; Perea, A.; del Jesus, M. J.
err分享
err收藏
Analysis of clustering methods for crop type mapping using satellite imagery
errNEUROCOMPUTING
IF6.5
err2022-07-01
err13
errOAAI
errRivera, Antonio J.; Perez-Godoy, Maria D.; Elizondo, David; Deka, Lipika; del Jesus, Maria J.
err分享
err收藏
Time Series Forecasting by Generalized Regression Neural Networks Trained With Multiple Series
errIEEE ACCESS
IF3.6
err2022-01-01
err7
errOAAI
errMartinez, Francisco; Frias, Maria P.; Perez-Godoy, Maria D.; Rivera, Antonio J.
err分享
err收藏
Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines
errINFORMATION FUSION
IF15.5
err2020-02-01
err31
PREAI
errPulgar, Francisco J.; Charte, Francisco; Rivera, Antonio J.; del Jesus, Maria J.
err分享
err收藏
REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization补救HwR: 通过标签解耦和数据重采样杂交解决多标签不平衡问题
errNEUROCOMPUTING
IF6.5
err2019-01-01
err30
errOAAI
errCharte, Francisco; Rivera, Antonio J.; del Jesus, Maria J.; Herrera, Francisco
err分享
err收藏
Dealing with difficult minority labels in imbalanced mutilabel data sets
errNEUROCOMPUTING
IF6.5
err2019-01-01
err45
errOAAI
errCharte, Francisco; Rivera, Antonio J.; del Jesus, Maria J.; Herrera, Francisco
err分享
err收藏
Dealing with seasonality by narrowing the training set in time series forecasting with ⁢k⁢NN
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2018-08-01
err60
PREAI
errMartinez, Francisco; Pilar Frias, Maria; Dolores Perez-Godoy, Maria; Jesus Rivera, Antonio
err分享
err收藏
Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository
errNEUROCOMPUTING
IF6.5
err2018-05-01
err23
errOAAI
errCharte, Francisco; Rivera, Antonio J.; Charte, David; del Jesus, Mara J.; Herrera, Francisco
err分享
err收藏
Comparative analysis of data mining and response surface methodology predictive models for enzymatic hydrolysis of pretreated olive tree biomass
errCOMPUTERS & CHEMICAL ENGINEERING
IF3.9
err2017-06-01
err19
PREAI
errCharte, Francisco; Romero, Inmaculada; Perez-Godoy, Maria D.; Rivera, Antonio J.; Castro, Eulogio
err分享
err收藏
MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solutionMefasd-bd: 用于大数据环境下子群发现的多目标进化模糊算法-MapReduce解决方案
errKNOWLEDGE-BASED SYSTEMS
IF7.6
err2017-02-01
err32
PREAI
errPulgar-Rubio, F.; Rivera-Rivas, A. J.; Perez-Godoy, M. D.; Gonzalez, P.; Carmona, C. J.; del Jesus, M. J.
err分享
err收藏
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation
errKNOWLEDGE-BASED SYSTEMS
IF7.6
err2015-11-01
err156
PREAI
errCharte, Francisco; Rivera, Antonio J.; del Jesus, Maria J.; Herrera, Francisco
err分享
err收藏
Addressing imbalance in multilabel classification: Measures and random resampling algorithms
errNEUROCOMPUTING
IF6.5
err2015-09-01
err201
PREAI
errCharte, Francisco; Rivera, Antonio J.; del Jesus, Maria J.; Herrera, Francisco
err分享
err收藏
A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2015-08-01
err12
PREAI
errGarcia-Domingo, B.; Carmona, C. J.; Rivera-Rivas, A. J.; del Jesus, M. J.; Aguilera, J.
err分享
err收藏
Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets
errAPPLIED SOFT COMPUTING
IF6.6
err2014-12-01
err25
PREAI
errPerez-Godoy, M. D.; Rivera, Antonio J.; Carmona, C. J.; del Jesus, M. J.
err分享
err收藏
LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification
errIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF8.9
err2014-10-01
err27
PREAI
errCharte, Francisco; Rivera, Antonio J.; del Jesus, Maria J.; Herrera, Francisco
err分享
err收藏

研究方向

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合作学者
合作期刊
F
Francisco Herrera
H 指数: 169 · 论文数: 1.3K
E
Eulógio Castro
H 指数: 61 · 论文数: 307
A
Alberto Fernández
H 指数: 48 · 论文数: 154
M
María José del Jesús
H 指数: 42 · 论文数: 246
I
Ignacio Rojas
H 指数: 41 · 论文数: 433
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