Alejandro Barredo Arrieta
According to our database1,
Alejandro Barredo Arrieta
authored at least 6 papers
between 2019 and 2024.
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Bibliography
2024
2022
On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification.
Neural Comput. Appl., 2022
Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization.
CoRR, 2022
2020
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI.
Inf. Fusion, 2020
Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
What Lies Beneath: A Note on the Explainability of Black-box Machine Learning Models for Road Traffic Forecasting.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019