Show simple item record

Computational approaches to explainable artificial intelligence: advances in theory, applications and trends

dc.contributor.authorGórriz, J. M.
dc.contributor.authorÁlvarez Illán, I.
dc.contributor.authorÁlvarez Marquina, A.
dc.contributor.authorVarela Arias, José Ramiro 
dc.date.accessioned2023-10-25T08:55:22Z
dc.date.available2023-10-25T08:55:22Z
dc.date.issued2023
dc.identifier.citationInformation Fusion, 100 (2023); doi:10.1016/j.inffus.2023.101945
dc.identifier.issn1566-2535
dc.identifier.urihttps://hdl.handle.net/10651/69993
dc.description.sponsorshipThe work reported here has been partially funded by many public and private bodies: by the MCIN/AEI/10.13039/501100011033/ and FEDER ‘‘Una manera de hacer Europa’’ under the RTI2018-098913-B100 project; projects PGC2018-098813-B-C32 & RTI2018-098913-B100 (Spanish ‘‘Ministerio de Ciencia, Innovación y Universidades’’); Grant PRE2019-087350 funded by MCIN/AEI/10.13039/501100011033 by ‘‘ESF Investing in your future’’; Grant PID2020-115220RB-C22 funded by MCIN/AEI/10.13039/501100011033 and by EU; Grant Number KP-06-N42/4, 08.12.2020; EC for project CybSPEED, 777720, H2020-MSCARISE-2017; MCIN project PID2020-116346GB-I00; MCIN/AEI/10.13039/501100011033 and ‘‘ERDF A way to make Europe’’ under the PID2020-115220RB-C21 and EQC2019-006063-P projects; by MCIN/AEI/10.13039/501100011033 and ‘‘ESF Investing in your future’’ under FPU16/03740 grant (...)
dc.description.statementofresponsibilityJ.M. Górriz, I. Álvarez-Illán, A. Álvarez-Marquina, J.E. Arco, M. Atzmueller, F. Ballarini, E. Barakova, G. Bologna, P. Bonomini, G. Castellanos-Dominguez, D. Castillo-Barnes, S.B. Cho, R. Contreras, J.M. Cuadra, E. Domínguez, F. Domínguez-Mateos, R.J. Duro, D. Elizondo, A. Fernández-Caballero, E. Fernandez-Jover, M.A. Formoso, N.J. Gallego-Molina, J. Gamazo, J. García González, J. Garcia-Rodriguez, C. Garre, J. Garrigós, A. Gómez-Rodellar, P. Gómez-Vilda, M. Graña, B. Guerrero-Rodriguez, S.C.F. Hendrikse, C. Jimenez-Mesa, M. Jodra-Chuan, V. Julian, G. Kotz, K. Kutt, M. Leming, J. de Lope, B. Macas, V. Marrero- Aguiar, J.J. Martinez, F.J. Martinez-Murcia, R. Martínez-Tomás, J. Mekyska, G.J. Nalepa, P. Novais, D. Orellana, A. Ortiz, D. Palacios-Alonso, J. Palma, A. Pereira, P. Pinacho-Davidson, M.A. Pinninghoff, M. Ponticorvo, A. Psarrou, J. Ramírez, M. Rincón, V. Rodellar-Biarge, I. Rodríguez-Rodríguez, P.H.M.P. Roelofsma, J. Santos, D. Salas-Gonzalez, P. Salcedo-Lagos, F. Segovia, A. Shoeibi, M. Silva, D. Simic, J. Suckling, J. Treur, A. Tsanas, R. Varela, S.H. Wang, W. Wang, Y.D. Zhang, H. Zhu, Z. Zhu, J.M. Ferrández-Vicente
dc.language.isoeng
dc.relation.ispartofInformation Fusion
dc.rights© 2023 The author(s). Published by Elsevier B.V.
dc.rightsCC Reconocimiento - No Comercial 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85166914338&doi=10.1016%2fj.inffus.2023.101945&partnerID=40&md5=a3a4fa082936e04744d376af77301df3
dc.titleComputational approaches to explainable artificial intelligence: advances in theory, applications and trends
dc.typejournal article
dc.identifier.doi10.1016/j.inffus.2023.101945
dc.relation.projectIDMCIN/FEDER/RTI2018-098913-B100
dc.relation.projectIDMCIU/PGC2018-098813-B-C32
dc.relation.projectIDMCIU/RTI2018-098913-B100
dc.relation.projectIDMCIN/AEI/ESF/PRE2019-087350
dc.relation.projectIDMCIN/AEI/EU/PID2020-115220RB-C22
dc.relation.projectIDinfo:eu‐repo/grantAgreement/EC/H2020/777720
dc.relation.projectIDMCIN/PID2020-116346GB-I00
dc.relation.projectIDMCIN/ERDF/PID2020-115220RB-C21
dc.relation.projectIDMCIN/ERDF/EQC2019-006063
dc.relation.projectIDMCIN/ESF/FPU16/03740
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.inffus.2023.101945
dc.rights.accessRightsopen access
dc.type.hasVersionVoR


Files in this item

untranslated

This item appears in the following Collection(s)

Show simple item record

© 2023 The author(s). Published by Elsevier B.V.
This item is protected with a Creative Commons License