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dc.contributor.author | Krynicki, Kamil | es_ES |
dc.contributor.author | Jaén Martínez, Francisco Javier | es_ES |
dc.contributor.author | Navarro, Elena | es_ES |
dc.date.accessioned | 2017-06-02T07:17:25Z | |
dc.date.available | 2017-06-02T07:17:25Z | |
dc.date.issued | 2016-10 | |
dc.identifier.issn | 1568-4946 | |
dc.identifier.uri | http://hdl.handle.net/10251/82239 | |
dc.description | This is the author’s version of a work that was accepted for publication in Applied Soft Computing . Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Applied Soft Computing 47 (2016) 316–331. DOI 10.1016/j.asoc.2016.04.039 | es_ES |
dc.description.abstract | The ever-increasing cases of acquired brain injury (ABI), especially among young people, have prompted a rapid progress in research involving neurological disorders. One important path is the concept of relearning, which attempts to help people regain basic motor and cognitive skills lost due to illness or accident. The goals of relearning are twofold. First, there must exist a way to properly assess the necessities of an affected person, leading to a diagnosis, followed by a recommendation regarding the exercises, tests and tasks to perform; and second, there must be a way to confirm the results obtained from these recommendations in order to fine-tune and personalize the relearning process. This presents a challenge, as there is a deeply-rooted duality between the personalized and the generalized approach. In this work we propose a personalization algorithm based on the ant colony optimization (ACO), which is a bio-inspired meta-heuristic. As we show, the stochastic nature of ants has certain similarities to the human learning process. We combine the adaptive and exploratory capabilities of ACO systems to respond to rapidly changing environments and the ubiquitous human factor. Finally, we test the proposed solution extensively in various scenarios, achieving high quality results. © 2016 Elsevier B.V. All rights reserved | es_ES |
dc.description.sponsorship | This research has been funded by the Spanish Ministry of Economy and Competitiveness and by the FEDER funds of the EU under the project SUPEREMOS (TIN2014-60077-R) and insPIre (TIN2012-34003). Kamil Krynicki is supported by the FPI fellowship from Universitat Politecnica de Valencia. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Applied Soft Computing | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | ACO | es_ES |
dc.subject | Recommendation system | es_ES |
dc.subject | ABI | es_ES |
dc.subject | Acquired brain injury | es_ES |
dc.subject | Relearning process | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | An ACO-based personalized learning technique in support of people with acquired brain injury | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.asoc.2016.04.039 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TIN2014-60077-R/ES/SISTEMA DE TERAPIAS DE JUEGO BASADO EN SUPERFICIES INTERACTIVAS PARA LA MEJORA DEL IMPACTO EMOCIONAL DERIVADO DE LA HOSPITALIZACION PEDIATRICA/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TIN2012-34003/ES/AMPLIANDO USIXML PARA EL DESARROLLO DE INTERFACES DE USUARIO POST-WIMP/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica | es_ES |
dc.description.bibliographicCitation | Krynicki, K.; Jaén Martínez, FJ.; Navarro, E. (2016). An ACO-based personalized learning technique in support of people with acquired brain injury. Applied Soft Computing. 47:316-331. doi:10.1016/j.asoc.2016.04.039 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.asoc.2016.04.039 | es_ES |
dc.description.upvformatpinicio | 316 | es_ES |
dc.description.upvformatpfin | 331 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 47 | es_ES |
dc.relation.senia | 334736 | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |
dc.contributor.funder | Universitat Politècnica de València | es_ES |