Roberto Confalonieri

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Oliver KutzFree University of Bozen-BolzanoVerified email at unibz.it
Marco SchorlemmerArtificial Intelligence Research Institute, IIIA-CSICVerified email at iiia.csic.es
Manfred EppeHamburg University of TechnologyVerified email at tuhh.de
Rafael PeñalozaUniversity of Milano-BicoccaVerified email at unimib.it
Javier Vazquez-SalcedaAssociate Professor, Universitat Politecnica de CatalunyaVerified email at cs.upc.edu
Juan Carlos NievesDepartment of Computing Science, Umeå University, SwedenVerified email at cs.umu.se
Carles SierraProfessor of Artificial IntelligenceVerified email at iiia.csic.es
Dave de JongeIIIA-CSICVerified email at iiia.csic.es
Matthew Yee-KingLecturer in Computer Science, Goldsmiths College, University of LondonVerified email at gold.ac.uk
Nardine OsmanArtificial Intelligence Research Institution (IIIA)Verified email at iiia.csic.es
Mark d'InvernoGoldsmiths, University of LondonVerified email at gold.ac.uk
Maximos Kaliakatsos-PapakostasAthena RCVerified email at athenarc.gr
Leila AmgoudSenior Researcher at CNRSVerified email at irit.fr
Sergio Alvarez-NapagaoBarcelona Supercomputing CenterVerified email at bsc.es
Emilios CambouropoulosProfessor in Music Informatics, Aristotle University of ThessalonikiVerified email at mus.auth.gr
Alison PeaseUniversity of DundeeVerified email at dundee.ac.uk
Joseph CorneliHyperreal Enterprises, Ltd.Verified email at hyperreal.enterprises
Osorio MauricioUniversidad de las Américas PueblaVerified email at udlap.mx
Steven WillmottTimewarp Inc.Verified email at timewarp.io
Sandra Ortega-MartorellSenior Lecturer in Applied Mathematics, Liverpool John Moores UniversityVerified email at ljmu.ac.uk

Roberto Confalonieri

University of Padova, Department of Mathematics

Verified email at unipd.it - Homepage

Artificial Intelligence Knowledge Representation Applied Ontology Explainable AI Computational Creativity


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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	101	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	88	2018
Computational invention of cadences and chord progressions by conceptual chord-blending M Eppe, R Confalonieri, E Maclean, M Kaliakatsos, E Cambouropoulos, ... Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015	60	2015
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	53	2018
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	46	2021
Trepan reloaded: A knowledge-driven approach to explaining artificial neural networks R Confalonieri, T Weyde, TR Besold, F Moscoso del Prado Martín IOS Press 325, 2457-2464, 2020	42*	2020
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 (1), 69-99, 2018	31	2018
Using argumentation to evaluate concept blends in combinatorial creativity R Confalonieri, J Corneli, A Pease, E Plaza, M Schorlemmer Brigham Young University, 2015	28	2015
ASP, amalgamation, and the conceptual blending workflow M Eppe, E Maclean, R Confalonieri, O Kutz, M Schorlemmer, E Plaza International Conference on Logic Programming and Nonmonotonic Reasoning …, 2015	24	2015
Two approaches to ontology aggregation based on axiom weakening D Porello, N Troquard, O Kutz, R Penaloza, R Confalonieri, P Galliani	23	2018
Concept Invention R Confalonieri, A Pease, M Schorlemmer, TR Besold, O Kutz, E Maclean, ... Springer Nature, 2018	21	2018
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	20	2010
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	18	2012
A possibilistic argumentation decision making framework with default reasoning JC Nieves, R Confalonieri Fundamenta Informaticae 113 (1), 41-61, 2011	18	2011
Intelligent contracting agents language S Panagiotidi, J Vázquez-Salceda, S Alvarez-Napagao, ... Behaviour Regulation in MAS, AISB, 49-55, 2008	18	2008
Upward refinement for conceptual blending in description logic: an asp-based approach and case study in EL++ R Confalonieri, M Schorlemmer, E Plaza, M Eppe, O Kutz, R Penaloza JOWO@ IJCAI, 2015	17	2015
Using possibilistic logic for modeling qualitative decision: answer set programming algorithms R Confalonieri, H Prade International journal of approximate reasoning 55 (2), 711-738, 2014	17*	2014
An argument-based creative assistant for harmonic blending M Kaliakatsos-Papakostas, R Confalonieri, J Corneli, A Zacharakis, ... arXiv preprint arXiv:1603.01770, 2016	16	2016
The Yoneda path to the Buddhist monk blend M Schorlemmer, R Confalonieri, E Plaza	14	2016
Conceptual blending in EL++ R Confalonieri, M Schorlemmer, O Kutz, R Peñaloza, E Plaza, M Eppe CEUR Workshop Proceedings, 2016	14	2016

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