Alejandro Barredo Arrieta

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Artificially Intelligent

Top Venues

Neural Comput. Appl.

Publications

Javier Del Ser, Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Francisco Herrera, Anna Saranti, Andreas Holzinger
On generating trustworthy counterfactual explanations. Inf. Sci. 655 (2024)
Alejandro Barredo Arrieta, Sergio Gil-Lopez, Ibai Laña, Miren Nekane Bilbao, Javier Del Ser
On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification. Neural Comput. Appl. 34 (13) (2022)
Javier Del Ser, Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Francisco Herrera, Andreas Holzinger
Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization. CoRR (2022)
Alejandro Barredo Arrieta, Sergio Gil-Lopez, Ibai Laña, Miren Nekane Bilbao, Javier Del Ser
On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification. CoRR (2021)
Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Inf. Fusion 58 (2020)
Alejandro Barredo Arrieta, Javier Del Ser
Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples. IJCNN (2020)
Alejandro Barredo Arrieta, Javier Del Ser
Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples. CoRR (2020)
Alejandro Barredo Arrieta, Ibai Laña, Javier Del Ser
What Lies Beneath: A Note on the Explainability of Black-box Machine Learning Models for Road Traffic Forecasting. ITSC (2019)
Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI. CoRR (2019)