Author profile: Jiménez Navarro, Manuel Jesús
Institutional data
Name | Jiménez Navarro, Manuel Jesús |
Department | Lenguajes y Sistemas Informáticos |
Knowledge area | Lenguajes y Sistemas Informáticos |
Professional category | Profesor Sustituto |
Request | |
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Statistics
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No. publications
10
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No. visits
606
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No. downloads
593
Publications |
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Chapter of Book
![]() Uso de herramientas software colaborativas para el seguimiento, estudio y evaluación de clases de enseñanzas prácticas y desarrollo
(Dykinson, 2024)
Para ayudar a la integración de todos los desarrollos individuales existen herramientas de control de versiones como ... |
Article
![]() Explaining deep learning models for ozone pollution prediction via embedded feature selection
(ScienceDirect, 2024)
Ambient air pollution is a pervasive global issue that poses significant health risks. Among pollutants, ozone (O3) is ... |
Presentation
![]() Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning
(Springer Link, 2023)
Traditional time series forecasting models often use all available variables, including potentially irrelevant or noisy ... |
Presentation
![]() Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation
(Springer Link, 2023)
The quality of university teaching is essential for the success of students and the academic excellence of an educational ... |
Presentation
![]() Explaining Learned Patterns in Deep Learning by Association Rules Mining
(SpringerLink, 2023)
This paper proposes a novel approach that combines an association rule algorithm with a deep learning model to enhance the ... |
Presentation
![]() A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal
(Association for Computing Machinery, 2023)
The year 2022 was the driest year in Portugal since 1931 with 97% of territory in severe drought. Water is especially ... |
PhD Thesis
![]() Novel efficient deep learning architectures for time series forecasting
(2023)
This thesis focuses on the study of time series prediction using the technique known as deep learning or neural networks. ... |
Article
![]() PHILNet: A novel efficient approach for time series forecasting using deep learning
(ScienceDirect, 2023)
Time series is one of the most common data types in the industry nowadays. Forecasting the future of a time series behavior ... |
Article
![]() DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting
(ScienceDirect, 2022)
The agricultural sector has been, and still is, the most important economic sector in many countries. Due to advances in ... |
Presentation
![]() Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection
(SpringerLink, 2022)
Neural networks have proven to be a good alternative in application fields such as healthcare, time-series forecasting and ... |