Publicaciones en las que colabora con Alejandro Barredo Arrieta (5)

2022

  1. On the Design, Implementation and Application of Novel Multi-disciplinary Techniques for explaining Artificial Intelligence Models

    On the Design, Implementation and Application of Novel Multi-disciplinary Techniques for explaining Artificial Intelligence Models

  2. On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification

    Neural Computing and Applications, Vol. 34, Núm. 13, pp. 10257-10277

2020

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

    Information Fusion, Vol. 58, pp. 82-115

  2. Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples

    Proceedings of the International Joint Conference on Neural Networks

2019

  1. What Lies Beneath: A Note on the Explainability of Black-box Machine Learning Models for Road Traffic Forecasting

    2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019