| A historical perspective of explainable Artificial Intelligence R Confalonieri, L Coba, B Wagner, TR Besold Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 11 (1 …, 2021 | 268 | 2021 |
| Neural-symbolic integration for fairness in AI B Wagner, AS d'Avila Garcez AAAI Spring Symposium 2021 2846, 2021 | 18 | 2021 |
| A practical tutorial on explainable AI techniques A Bennetot, I Donadello, AE Qadi, M Dragoni, T Frossard, B Wagner, ... arXiv preprint arXiv:2111.14260, 2021 | 17 | 2021 |
| Neural-Symbolic Reasoning Under Open-World and Closed-World Assumptions B Wagner, AS d'Avila Garcez AAAI Spring Symposium 2022 3121, 2022 | 5 | 2022 |
| Neural-Symbolic Integration for Interactive Learning and Conceptual Grounding B Wagner, AA Garcez NeurIPS 2021, Workshop on Human and Machine Decisions, 2021 | 5 | 2021 |
| A historical perspective of explainable artificial intelligence. WIREs Data Min. Knowl. Discov. 11, e1391 R Confalonieri, L Coba, B Wagner, TR Besold | 5 | 2021 |
| A historical perspective of explainable artificial intelligence. WIREs Data Min. Knowl. Discov. 11 (1), e1391 (2021) R Confalonieri, L Coba, B Wagner, TR Besold | 5 | |
| A practical guide on explainable ai techniques applied on biomedical use case applications A Bennetot, I Donadello, AE Qadi, M Dragoni, T Frossard, B Wagner, ... arXiv preprint arXiv:2111.14260, 2021 | 3 | 2021 |
| Method for Providing an Explanation Dataset for an AI Module, Computer-Readable Storage Medium, Device and System F Assion, FF Greßner, S Hinze, F Kretschmer, BJ Wagner US Patent App. 17/778,724, 2023 | | 2023 |
| Reasoning about what has been learned: Neural-Symbolic integration for explainable artificial intelligence B Wagner City, University of London, 2022 | | 2022 |
| ORCID: 0000-0001-7375-9518 (2021). Neural-symbolic integration for fairness in AI B Wagner, AS d'Avila Garcez CEUR Workshop Proceedings 2846, 1613-0073, 0 | | |
| A Neurosymbolic Approach to AI Alignment BJ Wagner, AA Garcez | | |
