CONFALONIERI, ROBERTO
CONFALONIERI, ROBERTO
Dipartimento di Matematica "Tullio Levi-Civita" - DM
A computational framework for conceptual blending
2018 Eppe, M.; Maclean, E.; Confalonieri, R.; Kutz, O.; Schorlemmer, M.; Plaza, E.; Kuhnberger, K. -U.
A historical perspective of explainable Artificial Intelligence
2021 Confalonieri, R.; Coba, L.; Wagner, B.; Besold, T. R.
A possibilistic argumentation decision making framework with default reasoning
2011 Nieves, J. C.; Confalonieri, R.
An End-to-End Framework for the Classification of Hyperspectral Images in the Wood Domain
2024 Confalonieri, R.; Htun, P. P.; Sun, B.; Tillo, T.
An Operational Framework for Guiding Human Evaluation in Explainable and Trustworthy Artificial Intelligence
2024 Confalonieri, R.; Alonso-Moral, J. M.
Blending under deconstruction: The roles of logic, ontology, and cognition in computational concept invention
2020 Confalonieri, R.; Kutz, O.
Dealing with explicit preferences and uncertainty in answer set programming
2012 Confalonieri, R.; Nieves, J. C.; Osorio, M.; Vazquez-Salceda, J.
Engineering multiuser museum interactives for shared cultural experiences
2015 Confalonieri, R.; Yee-King, M.; Hazelden, K.; D'Inverno, M.; De Jonge, D.; Osman, N.; Sierra, C.; Agmoud, L.; Prade, H.
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions
2024 Longo, L.; Brcic, M.; Cabitza, F.; Choi, J.; Confalonieri, R.; Ser, J. D.; Guidotti, R.; Hayashi, Y.; Herrera, F.; Holzinger, A.; Jiang, R.; Khosravi, H.; Lecue, F.; Malgieri, G.; Paez, A.; Samek, W.; Schneider, J.; Speith, T.; Stumpf, S.
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Ali, Sajid; Abuhmed, Tamer; El-Sappagh, Shaker; Muhammad, Khan; Alonso-Moral, Jose M.; Confalonieri, Roberto; Guidotti, Riccardo; Ser, Javier Del; Díaz-Rodríguez, Natalia; Herrera, Francisco
Nested preferences in answer set programming
2011 Confalonieri, R.; Nieves, J. C.
RecoXplainer: A Library for Development and Offline Evaluation of Explainable Recommender Systems
2022 Coba, L.; Confalonieri, R.; Zanker, M.
The role of ontologies and knowledge in Explainable AI
2024 Confalonieri, R.; Kutz, O.; Calvanese, D.; Alonso-Moral, J. M.; Zhou, S. M.
Upward refinement operators for conceptual blending in the description logic EL++
2018 Confalonieri, R.; Eppe, M.; Schorlemmer, M.; Kutz, O.; Penaloza, R.; Plaza, E.
Using ontologies to enhance human understandability of global post-hoc explanations of black-box models
2021 Confalonieri, R.; Weyde, T.; Besold, T. R.; Moscoso del Prado Martin, F.
Using possibilistic logic for modeling qualitative decision: Answer Set Programming algorithms
2014 Confalonieri, R.; Prade, H.