A. R. Troncoso-García

Orcid: 0000-0002-0349-1154

According to our database1, A. R. Troncoso-García authored at least 8 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Ground-Level Ozone Forecasting Using Explainable Machine Learning.
Proceedings of the Advances in Artificial Intelligence, 2024

2023
Explainable hybrid deep learning and Coronavirus Optimization Algorithm for improving evapotranspiration forecasting.
Comput. Electron. Agric., December, 2023

A new approach based on association rules to add explainability to time series forecasting models.
Inf. Fusion, June, 2023

Olive Oil Fly Population Pest Forecasting Using Explainable Deep Learning.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

Evolutionary computation to explain deep learning models for time series forecasting.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals.
Proceedings of the Advances in Computational Intelligence, 2023

Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python.
Proceedings of the International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023), 2023

2022
Explainable machine learning for sleep apnea prediction.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022


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