RT Journal Article
T1 Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
A1 Górriz, Juan M.
A1 Ramírez, Javier
A1 Ortíz, Andrés
A1 Martínez Murcia, Francisco J.
A1 Segovia, Fermin
A1 Suckling, John
A1 Leming, Matthew
A1 Zhang, Yu-Dong
A1 Álvarez Sánchez, Ramón
A1 Bologna, Guido
A1 Bonomini, Paula
A1 Estévez Casado, Fernando
A1 Charte, David
A1 Charte, Francisco
A1 Contreras, Ricardo
A1 Cuesta Infante, Alfredo
A1 Duro, Richard J.
A1 Fernández Caballero, Antonio
A1 Fernández Jover, Eduardo
A1 Gómez Vilda, Pedro
A1 Graña, Manuel
A1 Herrera, Francisco
A1 Iglesias Rodríguez, Roberto
A1 Lekova, Anna
A1 Lope, Javier de
A1 López Rubio, Ezequiel
A1 Martínez Tomás, Rafael
A1 Molina Cabello, Miguel A.
A1 Montemayor, Antonio S.
A1 Novais, Paulo
A1 Palacios Alonso, Daniel
A1 Pantrigo, Juan J.
A1 Payne, Bryson R.
A1 Paz López, Félix de la
A1 Pinninghoff, María Angélica
A1 Rincón, Mariano
A1 Santos, José
A1 Thurnhofer Hemsi, Karl
A1 Tsanas, Athanasios
A1 Varela, Ramiro
A1 Ferrández, Jose M.
K1 Artificial intelligence (AI)
K1 Machine learning
K1 Deep learning
K1 Reinforcement learning
K1 Evolutionary computation
K1 Ontologies
K1 Artificial neural networks (ANNs)
K1 Big data
K1 Robotics
K1 Neuroscience
K1 Human–machine interaction
K1 Virtual reality
K1 Emotion recognition
K1 Computational neuroethology
K1 Autism
K1 Dyslexia
K1 Alzheimer
K1 Parkinson
K1 Glaucoma
K1 AI for social well-being
AB Artificial intelligence and all its supporting tools, e.g. machine and deep learning in computational intelligence-based systems, are rebuilding our society (economy, education, life-style, etc.) and promising a new era for the social welfare state. In this paper we summarize recent advances in data science and artificial intelligence within the interplay between natural and artificial computation. A review of recent works published in the latter field and the state the art are summarized in a comprehensive and self-contained way to provide a baseline framework for the international community in artificial intelligence. Moreover, this paper aims to provide a complete analysis and some relevant discussions of the current trends and insights within several theoretical and application fields covered in the essay, from theoretical models in artificial intelligence and machine learning to the most prospective applications in robotics, neuroscience, brain computer interfaces, medicine and society, in general
PB Elsevier
SN 0925-2312
YR 2020
FD 2020
LK http://hdl.handle.net/10347/24675
UL http://hdl.handle.net/10347/24675
LA eng
NO Neurocomputing, Volume 410, 14 October 2020, Pages 237-270
NO The work reported here has been partially funded by many public and private bodies. Spanish Ministry of Science, projects: TIN2017-85827-P, RTI2018-098913-B-I00, PSI2015-65848-R, PGC2018-098813-B-C31, PGC2018-098813-B-C32, RTI2018-101114-B-I, TIN2017-90135-R, RTI2018-098743-B-I00 and RTI2018-094645-B-I00; the FPU program (FPU15/06512, FPU17/04154) and Juan de la Cierva (FJCI-2017–33022). Autonomous Government of Andalusia (Spain) projects: UMA18-FEDERJA-084. Consellería de Cultura, Educación e Ordenación Universitaria of Galicia: ED431C2017/12, accreditation 2016–2019, ED431G/08, ED431C2018/29, Comunidad de Madrid, Y2018/EMT-5062 and grant ED431F2018/02
DS Minerva
RD 24 abr 2026