Items where Author is "Wagner, B."
Article
Bennetot, A. 
ORCID: 0000-0001-8232-8728, Donadello, I. ORCID: 0000-0002-0701-5729, El Qadi El Haouari, A. ORCID: 0000-0002-7296-1252 , Dragoni, M. ORCID: 0000-0003-0380-6571, Frossard, T. ORCID: 0009-0005-6388-5672, Wagner, B. ORCID: 0009-0002-6747-1862, Sarranti, A. ORCID: 0000-0002-1085-8428, Tulli, S. ORCID: 0000-0002-6826-370X, Trocan, M. ORCID: 0000-0001-6241-0126, Chatila, R. ORCID: 0000-0001-7822-0634, Holzinger, A. ORCID: 0000-0002-6786-5194, d'Avila Garcez, A. S. ORCID: 0000-0001-7375-9518 & Díaz-Rodríguez, N. ORCID: 0000-0003-3362-9326 (2025).
A Practical Tutorial on Explainable AI Techniques.
ACM Computing Surveys, 57(2),
pp. 1-44.
doi: 10.1145/3670685
Confalonieri, R., Coba, L., Wagner, B. & Besold, T. R. (2021). A historical perspective of explainable Artificial Intelligence. WIREs Data Mining and Knowledge Discovery, 11(1), article number e1391. doi: 10.1002/widm.1391
Conference or Workshop Item
Wagner, B. & d'Avila Garcez, A. S. ORCID: 0000-0001-7375-9518 (2022).
Neural-Symbolic Reasoning Under Open-World and Closed-World Assumptions.
In:
CEUR Workshop Proceedings.
AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), 21-23 Mar 2022, California, USA.
Wagner, B. & d'Avila Garcez, A. S. ORCID: 0000-0001-7375-9518 (2021).
Neural-symbolic integration for fairness in AI.
In:
CEUR Workshop Proceedings.
AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), 22-24 Mar 2021, California, USA.
Thesis
Wagner, B. (2022). Reasoning about what has been learned: Neural-Symbolic integration for explainable artificial intelligence. (Unpublished Doctoral thesis, City, University of London)