Publicación:
ComputationalapproachestoExplainableArtificial Intelligence: Advances in theory, applications and trends

Vista sencilla de ítem
dc.contributor.authorGórriz, J. M.
dc.contributor.authorÁlvarez Illán, I.
dc.contributor.authorÁlvarez Marquina, A.
dc.contributor.authorArco, J.E.
dc.contributor.authorAtzmueller, M.
dc.contributor.authorBallarini, F.
dc.contributor.authorBarakova, Emilia
dc.contributor.authorBologna, Guido
dc.contributor.authorBonomini, P.
dc.contributor.authorCastellanos Dominguez, Cesar Germán
dc.contributor.authorCastillo Barnes, Diego
dc.contributor.authorCho, Sung Bae
dc.contributor.authorContreras, R.
dc.contributor.authorCuadra Troncoso, José Manuel
dc.contributor.authorDomínguez, Enrique
dc.contributor.authorDomínguez Mateos, F.
dc.contributor.authorDuro, Richard J.
dc.contributor.authorElizondo, David A.
dc.contributor.authorFernández Caballero, Antonio
dc.contributor.authorFernández Jover, Eduardo
dc.contributor.authorFerrández Vicente, J.M.
dc.date.accessioned2026-02-05T11:10:44Z
dc.date.available2026-02-05T11:10:44Z
dc.date.issued2023-12-01
dc.descriptionThe registered version of this article, first published in “Information Fusion, Volume 100, 2023", is available online at the publisher's website: Elsevier, https://doi.org/10.1016/j.inffus.2023.101945
dc.descriptionLa versión registrada de este artículo, publicado por primera vez en “Information Fusion, Volume 100, 2023", está disponible en línea en el sitio web del editor: Elsevier, https://doi.org/10.1016/j.inffus.2023.101945
dc.description.abstractDeep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear artificial neural systems, excel at extracting high-level features from data. DL has demonstrated humanlevel performance in real-world tasks, including clinical diagnostics, and has unlocked solutions to previously intractable problems in virtual agent design, robotics, genomics, neuroimaging, computer vision, and industrial automation. In this paper, the most relevant advances from the last few years in Artificial Intelligence (AI) and several applications to neuroscience, neuroimaging, computer vision, and robotics are presented, reviewed and discussed. In this way, we summarize the state-of-the-art in AI methods, models and applications within a collection of works presented at the 9th International Conference on the Interplay between Natural and Artificial Computation (IWINAC). The works presented in this paper are excellent examples of new scientific discoveries made in laboratories that have successfully transitioned to real-life applications.en
dc.description.provenanceMade available in DSpace on 2026-02-05T11:10:44Z (GMT). No. of bitstreams: 1 Gorriz2023 - Computational Approaches to Expl_MARIANO RINCON ZAMOR.pdf: 7216982 bytes, checksum: 32c58df72462e017fde58d1b73fc3785 (MD5) Previous issue date: 2023-12-01en
dc.description.versionversión publicada
dc.identifier.citationJ.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, Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends, Information Fusion, Volume 100, 2023, 101945, ISSN 1566-2535, https://doi.org/10.1016/j.inffus.2023.101945
dc.identifier.doihttps://doi.org/10.1016/j.inffus.2023.101945
dc.identifier.eissn1566-2535
dc.identifier.urihttps://hdl.handle.net/20.500.14468/31719
dc.journal.titleInformation Fusion
dc.journal.volume100
dc.language.isoen
dc.page.initial101945
dc.publisherElsevier
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentInteligencia Artificial
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.es
dc.subject1203.17 Informática
dc.subject.keywordsExplainable Artificial Intelligenceen
dc.subject.keywordsData scienceen
dc.subject.keywordsComputational approachesen
dc.subject.keywordsMachine learningen
dc.subject.keywordsDeep learningen
dc.subject.keywordsNeuroscienceen
dc.subject.keywordsRoboticsen
dc.subject.keywordsBiomedical applicationsen
dc.subject.keywordsComputer-aided diagnosis systemsen
dc.subject.odsODS 9 - Industria, innovación e infraestructura
dc.titleComputationalapproachestoExplainableArtificial Intelligence: Advances in theory, applications and trendsen
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
relation.isAuthorOfPublicationfa1a8e74-c3ef-42cf-b132-ac98810c1b92
relation.isAuthorOfPublication.latestForDiscoveryfa1a8e74-c3ef-42cf-b132-ac98810c1b92
Archivos
Bloque original
Mostrando 1 - 1 de 1
Miniatura
Nombre:
Gorriz2023 - Computational Approaches to Expl_MARIANO RINCON ZAMOR.pdf
Tamaño:
6.88 MB
Formato:
Adobe Portable Document Format
Descargar
Bloque de licencias
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
3.62 KB
Formato:
Item-specific license agreed to upon submission
Descripción:
Descargar
Colecciones
Artículos y papers