Manuel Jesús Jiménez-Navarro

11 papers Misc 2Journal 3Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
A real-time machine learning-based methodology for short-term frequency nadir prediction in low-inertia power systems.
Neurocomputing
Manuel Jesús Jiménez-Navarro, Jose Miguel Riquelme-Dominguez, Manuel Carranza-García, Francisco M. González-Longatt
2025 J jnl
MetaGen: A framework for metaheuristic development and hyperparameter optimization in machine and deep learning.
Neurocomputing
David Gutiérrez-Avilés, Manuel Jesús Jiménez-Navarro, José Francisco Torres, Francisco Martínez-Álvarez
2024 Misc conf
Evolutionary Feature Selection for Time-Series Forecasting.
SAC
Maria Lourdes Linares-Barrera, Manuel Jesús Jiménez-Navarro, Isabel Sofia Brito, José C. Riquelme, María Martínez-Ballesteros
2024 — conf
Ground-Level Ozone Forecasting Using Explainable Machine Learning.
CAEPIA
Angela del Robledo Troncoso-García, Manuel Jesús Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso
2024 — conf
Multi-Objective Lagged Feature Selection Based on Dependence Coefficient for Time-Series Forecasting.
CAEPIA
Maria Lourdes Linares-Barrera, Manuel Jesús Jiménez-Navarro, José C. Riquelme, María Martínez-Ballesteros
2024 — conf
Toward Explaining Competitive Success in League of Legends: A Machine Learning Analysis.
CAEPIA
Francisco Javier Galán-Sales, Maria Lourdes Linares-Barrera, Pablo Reina-Jiménez, Ana Rodríguez-López, Manuel Jesús Jiménez-Navarro
2023 Misc conf
A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal.
SAC
Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Isabel Sofia Brito, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2023 J jnl
A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting.
J. Big Data
Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2023 — conf
Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation.
CISIS-ICEUTE
Manuel Jesús Jiménez-Navarro, Belén Vega-Márquez, José María Luna-Romera, Manuel Carranza-García, María Martínez-Ballesteros
2023 — conf
Feature Selection Guided by CVOA Metaheuristic for Deep Neural Networks: Application to Multivariate Time Series Forecasting.
SOCO (1)
Manuel Jesús Jiménez-Navarro, Camilo Restrepo Estrada, Laura Melgar-García, David Gutiérrez-Avilés
2022 — conf
Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection.
SOCO
Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Isabel Sofia Sousa Brito, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés