Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence S Ali, T Abuhmed, S El-Sappagh, K Muhammad, JM Alonso-Moral, ...
Information fusion 99, 101805, 2023
612 2023 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
383 2021 Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions L Longo, M Brcic, F Cabitza, J Choi, R Confalonieri, J Del Ser, R Guidotti, ...
Information Fusion 106, 102301, 2024
138 2024 Using ontologies to enhance human understandability of global post-hoc explanations of black-box models R Confalonieri, T Weyde, TR Besold, FM del Prado Martín
Artificial Intelligence 296, 103471, 2021
117 2021 A computational framework for conceptual blending M Eppe, E Maclean, R Confalonieri, O Kutz, M Schorlemmer, E Plaza, ...
Artificial Intelligence 256, 105-129, 2018
110 2018 Trepan reloaded: A knowledge-driven approach to explaining black-box models R Confalonieri, T Weyde, TR Besold, F Moscoso del Prado Martín
ECAI 2020, 2457-2464, 2020
80 * 2020 Repairing ontologies via axiom weakening N Troquard, R Confalonieri, P Galliani, R Penaloza, D Porello, O Kutz
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
71 2018 Computational invention of cadences and chord progressions by conceptual chord-blending M Eppe, R Confalonieri, E Maclean, M Kaliakatsos, E Cambouropoulos, ...
Proceedings of the Twenty-Fourth International Joint Conference on …, 2015
57 2015 Upward refinement operators for conceptual blending in the description logic R Confalonieri, M Eppe, M Schorlemmer, O Kutz, R Penaloza, E Plaza
Annals of Mathematics and Artificial Intelligence 82, 69-99, 2018
49 * 2018 Using argumentation to evaluate concept blends in combinatorial creativity R Confalonieri, J Corneli, A Pease, E Plaza, M Schorlemmer
Proceedings of the Sixth International Conference on Computational …, 2015
29 2015 Concept invention R Confalonieri, A Pease, M Schorlemmer, TR Besold, O Kutz, E Maclean, ...
Springer, 2018
28 2018 What makes a good explanation? Cognitive dimensions of explaining intelligent machines. R Confalonieri, TR Besold, T Weyde, K Creel, T Lombrozo, ST Mueller, ...
CogSci, 25-26, 2019
26 2019 Two approaches to ontology aggregation based on axiom weakening D Porello, N Troquard, O Kutz, R Penaloza, R Confalonieri, P Galliani
25 2018 ASP, amalgamation, and the conceptual blending workflow M Eppe, E Maclean, R Confalonieri, O Kutz, M Schorlemmer, E Plaza
Logic Programming and Nonmonotonic Reasoning: 13th International Conference …, 2015
24 2015 Engineering multiuser museum interactives for shared cultural experiences R Confalonieri, M Yee-King, K Hazelden, D de Jonge, N Osman, C Sierra, ...
Engineering Applications of Artificial Intelligence 46, 180-195, 2015
21 * 2015 Possibilistic semantics for logic programs with ordered disjunction R Confalonieri, JC Nieves, M Osorio, J Vázquez-Salceda
International Symposium on Foundations of Information and Knowledge Systems …, 2010
21 2010 Towards even more irresistible axiom weakening R Confalonieri, P Galliani, O Kutz, D Porello, G Righetti, N Toquard
20 2020 The Yoneda path to the Buddhist monk blend M Schorlemmer, R Confalonieri, E Plaza
20 2016 RecoXplainer: a library for development and offline evaluation of explainable recommender systems L Coba, R Confalonieri, M Zanker
IEEE Computational Intelligence Magazine 17 (1), 46-58, 2022
19 2022 Ontology-based tourism for all recommender and information retrieval system for interactive community displays K Alonso, M Zorrilla, H Iñan, M Palau, R Confalonieri, J Vázquez-Salceda, ...
2012 8th International Conference on Information Science and Digital Content …, 2012
19 2012 
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