Jorge Fandinno

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Pedro CabalarUniversity of A CoruñaVerified email at udc.es
Torsten SchaubUniversity of PotsdamVerified email at cs.uni-potsdam.de
Vladimir LifschitzUniversity of Texas at AustinVerified email at cs.utexas.edu
Concepción Vidal MartínUniversity of CoruñaVerified email at udc.es
Marie-Christine Lagasquie-SchiexComputer science professor, Paul Sabatier university, UT3 professor, Toulouse, TMBI (convergence labVerified email at irit.fr
Yuliya LierlerProfessor of Computer Science, University of Nebraska at OmahaVerified email at unomaha.edu
Michael FinkChief Scientific Officer, Deutsches MedizinrechenzentrumVerified email at kr.tuwien.ac.at
Wolfgang DvořákTU WienVerified email at tuwien.ac.at
Brais Muñiz CastroUniversity of A CoruñaVerified email at udc.es
Claudia SchulzThomson ReutersVerified email at thomsonreuters.com
David PearceProfessor of Artificial Intelligence, Universidad Politécnica de MadridVerified email at upm.es
Markus HecherMITVerified email at mit.edu
Michael GelfondProfessor of Computer Science, Texas Tech UniversityVerified email at ttu.edu
Patrick LühneUniversity of PotsdamVerified email at cs.uni-potsdam.de
Wolfgang FaberAlpen-Adria-Universität KlagenfurtVerified email at aau.at
Agustín ValverdeUniversidad de MálagaVerified email at ctima.uma.es
Tran Cao SonProfessor of Computer Science, New Mexico State UniversityVerified email at nmsu.edu
Francisco Suarez LopezDoctor en MedicinaVerified email at sergas.es
Seemran MishraCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Johannes K. FichteLinköping UniversityVerified email at liu.se

Jorge Fandinno

University of Nebraska at Omaha

Verified email at unomaha.edu - Homepage

Artificial Intelligence Logic Programming Causality


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Answering the “why” in answer set programming–A survey of explanation approaches J Fandinno, C Schulz Theory and Practice of Logic Programming 19 (2), 114-203, 2019	66	2019
Causal graph justifications of logic programs P Cabalar, J Fandinno, M Fink Theory and Practice of Logic Programming 14 (4-5), 603-618, 2014	38	2014
A system for explainable answer set programming P Cabalar, J Fandinno, B Muñiz arXiv preprint arXiv:2009.10242, 2020	32	2020
On the expressive power of collective attacks W Dvořák, J Fandinno, S Woltran Argument & Computation 10 (2), 191-230, 2019	31	2019
Valid attacks in argumentation frameworks with recursive attacks C Cayrol, J Fandinno, L Fariñas del Cerro, MC Lagasquie-Schiex Annals of Mathematics and Artificial Intelligence 89, 53-101, 2021	30	2021
Splitting epistemic logic programs P Cabalar, J Fandinno, LF Del Cerro Theory and Practice of Logic Programming 21 (3), 296-316, 2021	27	2021
Verifying tight logic programs with Anthem and Vampire J Fandinno, V Lifschitz, P Lühne, T Schaub Theory and Practice of Logic Programming 20 (5), 735-750, 2020	26	2020
Forgetting auxiliary atoms in forks F Aguado, P Cabalar, J Fandinno, D Pearce, G Pérez, C Vidal Artificial Intelligence 275, 575-601, 2019	24	2019
Argumentation frameworks with recursive attacks and evidence-based supports C Cayrol, J Fandinno, L Fariñas del Cerro, MC Lagasquie-Schiex Foundations of Information and Knowledge Systems: 10th International …, 2018	22	2018
Structure-based semantics of argumentation frameworks with higher-order attacks and supports C Cayrol, J Fandinno, L Farinas Del Cerro, M Lagasquie-Schiex Computational Models of Argument, 29-36, 2018	21	2018
Autoepistemic answer set programming P Cabalar, J Fandinno, LF del Cerro Artificial Intelligence 289, 103382, 2020	18	2020
Treewidth-aware complexity in ASP: not all positive cycles are equally hard J Fandinno, M Hecher Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 6312-6320, 2021	14	2021
Founded world views with autoepistemic equilibrium logic P Cabalar, J Fandinno, FC Luis International Conference on Logic Programming and Nonmonotonic Reasoning …, 2019	14	2019
Gelfond–Zhang aggregates as propositional formulas P Cabalar, J Fandinno, T Schaub, S Schellhorn Artificial Intelligence 274, 26-43, 2019	13	2019
Functional ASP with intensional sets: Application to Gelfond-Zhang aggregates P Cabalar, J Fandinno, LF Del Cerro, D Pearce Theory and Practice of Logic Programming 18 (3-4), 390-405, 2018	13	2018
Thirty years of epistemic specifications J Fandinno, W Faber, M Gelfond Theory and Practice of Logic Programming 22 (6), 1043-1083, 2022	12	2022
eclingo: A solver for epistemic logic programs P Cabalar, J Fandinno, J Garea, J Romero, T Schaub Theory and Practice of Logic Programming 20 (6), 834-847, 2020	12	2020
Axiomatization of aggregates in answer set programming J Fandinno, Z Hansen, Y Lierler Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5634-5641, 2022	11	2022
Modular answer set programming as a formal specification language P Cabalar, J Fandinno, Y Lierler Theory and Practice of Logic Programming 20 (5), 767-782, 2020	11	2020
Planning with incomplete information in quantified answer set programming J Fandinno, F Laferrière, J Romero, T Schaub, TC Son Theory and Practice of Logic Programming 21 (5), 663-679, 2021	10	2021

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