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ORCIDA. R. Troncoso-García
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2020 – today
- 2024
[c6]Angela del Robledo Troncoso-García
, Manuel Jesús Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso:
Ground-Level Ozone Forecasting Using Explainable Machine Learning. CAEPIA 2024: 71-80- 2023
- [j2]A. R. Troncoso-García, Isabel Brito, Alicia Troncoso, Francisco Martínez-Álvarez:
Explainable hybrid deep learning and Coronavirus Optimization Algorithm for improving evapotranspiration forecasting. Comput. Electron. Agric. 215: 108387 (2023) - [j1]A. R. Troncoso-García, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso:
A new approach based on association rules to add explainability to time series forecasting models. Inf. Fusion 94: 169-180 (2023) - [c5]Laura Melgar-García, Angela Troncoso-García, David Gutiérrez-Avilés, José Francisco Torres, Alicia Troncoso:
Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python. CISIS-ICEUTE 2023: 358-367 - [c4]A. R. Troncoso-García, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora:
Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals. IWANN (1) 2023: 626-637 - [c3]Angela Troncoso-García, Alicia Troncoso Lora, Francisco Martínez-Álvarez, María Martínez-Ballesteros:
Evolutionary computation to explain deep learning models for time series forecasting. SAC 2023: 433-436 - [c2]Andrés Manuel Chacón-Maldonado, A. R. Troncoso-García, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés, Alicia Troncoso:
Olive Oil Fly Population Pest Forecasting Using Explainable Deep Learning. SOCO (2) 2023: 121-131 - 2022
- [c1]A. R. Troncoso-García, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso:
Explainable machine learning for sleep apnea prediction. KES 2022: 2930-2939
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