@article{389,
  keywords = {AI for social well-being, Alzheimer, Artificial intelligence (AI), Artificial neural networks (ANNs), Autism, Big Data, Computational neuroethology, Deep learning, Dyslexia, Emotion recognition, evolutionary computation, Glaucoma, Human-machine interaction, machine learning, Neuroscience, Ontologies, Parkinson, Reinforcement learning, Robotics, Virtual reality},
  author = {Juan M.Górriz and Javier Ramírez and Andrés Ortíz and Francisco Martínez-Murcia and Fermín Segovia and John Suckling and Matthew Leming and Yu-Dong Zhang and José álvarez-Sánchez and Guido Bologna and Paula Bonomini and Fernando Casado and David Charte and Francisco Charte Ojeda and Ricardo Contreras and Alfredo Infante and Richard Duro and Antonio Caballero and Eduardo Jover and Pedro Vilda and Manuel Graña and Francisco Herrera Triguero and Roberto Iglesias and Anna Lekova and Javier de Lope and Ezequiel Rubio and Rafael Tomás and Miguel Molina-Cabello and Antonio Montemayor and Paulo Novais and Daniel Palacios-Alonso and Juan Pantrigo and Bryson Payne and Félix López and María Pinninghoff and Mariano Rincón and José Santos and Karl Thurnhofer-Hemsi and Athanasios Tsanas and Ramiro Varela and Jose Ferrández},
  title = {Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications},
  abstract = {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.},
  year = {2020},
  journal = {Neurocomputing},
  volume = {410},
  pages = {237-270},
  doi = {10.1016/j.neucom.2020.05.078},
  note = {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; RTI2018-094645-B-I00; FPU15/06512; FPU17/04154; FJCI-2017-33022; UMA18-FEDERJA-084; ED431C2017/12; ED431G/08; ED431C2018/29; Y2018/EMT-5062; ED431F2018/02; U01 AG024904; W81XWH-12-2-0012},
}