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 EppeUniversity of Hamburg, GermanyVerified email at informatik.uni-hamburg.de
Javier Vazquez-SalcedaAssociate Professor, Universitat Politecnica de CatalunyaVerified email at lsi.upc.edu
Rafael PeñalozaUniversity of Milano-BicoccaVerified email at unimib.it
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 mus.auth.gr
Sergio Alvarez-NapagaoBarcelona Supercomputing CenterVerified email at bsc.es
Leila AmgoudSenior Researcher at CNRSVerified email at irit.fr
Emilios CambouropoulosAssociate professor 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 WillmottRed Hat Inc.Verified email at 3scale.net
Sandra Ortega-MartorellSenior Lecturer in Applied Mathematics, Liverpool John Moores UniversityVerified email at ljmu.ac.uk

Roberto Confalonieri

Free University of Bozen-Bolzano, Faculty of Computer Science

Verified email at unibz.it - Homepage

Artificial Intelligence Knowledge Representation Applied Ontology Explainable AI Computational Creativity


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A computational framework for conceptual blending M Eppe, E Maclean, R Confalonieri, O Kutz, M Schorlemmer, E Plaza, ... Artificial Intelligence 256, 105-129, 2018	57	2018
Computational invention of cadences and chord progressions by conceptual chord-blending M Eppe, R Confalonieri, E Maclean, M Kaliakatsos, E Cambouropoulos, ... Association for the Advancement of Artificial Intelligence, 2015	54	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	28	2018
Using argumentation to evaluate concept blends in combinatorial creativity R Confalonieri, J Corneli, A Pease, E Plaza, M Schorlemmer Brigham Young University, 2015	27	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 (1), 69-99, 2018	22	2018
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	22	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	19	2010
A possibilistic argumentation decision making framework with default reasoning JC Nieves, R Confalonieri Fundamenta Informaticae 113 (1), 41-61, 2011	17	2011
Intelligent contracting agents language S Panagiotidi, J Vázquez-Salceda, S Alvarez-Napagao, ... Behaviour Regulation in MAS, AISB, 49-55, 2008	17	2008
Concept Invention R Confalonieri, A Pease, M Schorlemmer, TR Besold, O Kutz, E Maclean, ... Springer Nature, 2018	15	2018
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	15	2012
An argument-based creative assistant for harmonic blending M Kaliakatsos-Papakostas, R Confalonieri, J Corneli, A Zacharakis, ... arXiv preprint arXiv:1603.01770, 2016	13	2016
Two approaches to ontology aggregation based on axiom weakening D Porello, N Troquard, O Kutz, R Penaloza, R Confalonieri, P Galliani	12	2018
Conceptual blending in EL++ R Confalonieri, M Schorlemmer, O Kutz, R Peñaloza, E Plaza, M Eppe CEUR Workshop Proceedings, 2016	12	2016
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	12	2015
A process model for concept invention R Confalonieri, E Plaza, M Schorlemmer Sony Computer Science Laboratory, 2016	11	2016
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	10	2019
Coherence, similarity, and concept generalisation R Confalonieri, O Kutz, P Galliani, R Penaloza, D Porello, M Schorlemmer, ... CEUR Workshop Proceedings, 2017	10	2017
Modelling contractually-bounded interactions in the car insurance domain J Vázquez-Salceda, R Confalonieri, I Gomez, P Storms, SPN Kuijpers, ... DIGIBIZ 2009, 2009	10	2009
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	9	2014

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