Alejandro Barredo Arrieta | DeepAI

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∙ 05/20/2022

Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization

There is a broad consensus on the importance of deep learning models in ...

0 Javier Del Ser, et al. ∙

∙ 02/17/2021

On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification

Since their inception, learning techniques under the Reservoir Computing...

0 Alejandro Barredo Arrieta, et al. ∙

∙ 03/25/2020

Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples

The last decade has witnessed the proliferation of Deep Learning models ...

21 Alejandro Barredo Arrieta, et al. ∙

∙ 10/22/2019

Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

In the last years, Artificial Intelligence (AI) has achieved a notable m...

170 Alejandro Barredo Arrieta, et al. ∙

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