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Alejandro Barredo Arrieta
Alejandro Barredo Arrieta
PhD student, Tecnalia Innovation and Research
在 tecnalia.com 的电子邮件经过验证
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Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
AB Arrieta, N Díaz-Rodríguez, J Del Ser, A Bennetot, S Tabik, A Barbado, ...
Information fusion 58, 82-115, 2020
90732020
On generating trustworthy counterfactual explanations
J Del Ser, A Barredo-Arrieta, N Díaz-Rodríguez, F Herrera, A Saranti, ...
Information Sciences 655, 119898, 2024
642024
What lies beneath: A note on the explainability of black-box machine learning models for road traffic forecasting
A Barredo-Arrieta, I Laña, J Del Ser
2019 IEEE intelligent transportation systems conference (ITSC), 2232-2237, 2019
382019
Plausible counterfactuals: Auditing deep learning classifiers with realistic adversarial examples
A Barredo-Arrieta, J Del Ser
2020 International joint conference on neural networks (IJCNN), 1-7, 2020
362020
On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification
A Barredo Arrieta, S Gil-Lopez, I Laña, MN Bilbao, J Del Ser
Neural Computing and Applications, 1-21, 2022
222022
Flow Paths: A standalone tangible board system to create educational games
A Barredo, P Garaizar
2015 IEEE Global Engineering Education Conference (EDUCON), 301-304, 2015
82015
Gil-L opez
AB Arrieta, N Díaz-Rodríguez, J Del Ser, A Bennetot, S Tabik, A Barbado, ...
S., Molina, D., Benjamins, R., Chatila, R., & Herrera, F, 2019
52019
Association rules for grammar inference
A Barredo Arrieta
12018
On the Design, Implementation and Application of Novel Multi-disciplinary Techniques for explaining Artificial Intelligence Models
AB Arrieta
UNIVERSITY OF THE BASQUE COUNTRY, 2022
2022
Agarwal, Manish, Fuzzy Logic Control of Washing Machines, Paper 2011 Aho, Alfred V./Lam, Monica S./Sethi, Ravi/Ullman, Jeffry D., Compiler, 2. Aufl. Mün-chen 2008 Alcorn …
F Alkhateeb, E Al Maghayreh, S Aljawarneh, AQ Ansari, AB Arrieta, ...
Problem Features versus Algorithm Performance on Rugged Multiobjective Combinatorial Fitness Landscapes
TDP Servillo, AB Arrieta
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