Evolutionary computation to explain deep learning models for time series forecasting-Reference-Cited by-同舟云学术

Evolutionary computation to explain deep learning models for time series forecasting

Published:2023-03-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
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Author:

Troncoso Garcia Angela¹^ORCID,Troncoso Lora Alicia¹^ORCID,Martinez-Alvarez Francisco¹^ORCID,Martinez Ballesteros Maria²^ORCID

Affiliation:

1. Pablo de Olavide University, Seville, Spain

2. University of Seville, Seville, Spain

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3555776.3578994

Reference15 articles.

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3. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

4. J. A. Gallardo-Gómez , F. Divina , A. Troncoso , and F. Martínez-Álvarez . 2022. Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem . In Proceedings of the International Conference on Soft Computing Models in Industrial and Environmental Applications. 413--422 . J. A. Gallardo-Gómez, F. Divina, A. Troncoso, and F. Martínez-Álvarez. 2022. Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem. In Proceedings of the International Conference on Soft Computing Models in Industrial and Environmental Applications. 413--422.

5. Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model

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