Manuel Jesús
Jiménez Navarro
Manuel Jesús Jiménez Navarro-rekin lankidetzan egindako argitalpenak (12)
2024
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Uso de herramientas software colaborativas para el seguimiento, estudio y evaluación de clases de enseñanzas prácticas y desarrollo
Enseñanza e innovación educativa en el ámbito universitario (Dykinson), pp. 1156-1167
2023
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A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal
Proceedings of the ACM Symposium on Applied Computing
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A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting
Journal of Big Data, Vol. 10, Núm. 1
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Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation
Lecture Notes in Networks and Systems
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Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Explaining Learned Patterns in Deep Learning by Association Rules Mining
Lecture Notes in Networks and Systems
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Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection
Lecture Notes in Networks and Systems
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PHILNet: A novel efficient approach for time series forecasting using deep learning
Information Sciences, Vol. 632, pp. 815-832
2022
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DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting
Knowledge-Based Systems, Vol. 254
2021
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A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery
Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings
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Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)