Authors
Juan M Górriz, Javier Ramírez, Andres Ortiz, Francisco J Martinez-Murcia, Fermin Segovia, John Suckling, Matthew Leming, Yu-Dong Zhang, Jose Ramón Álvarez-Sánchez, Guido Bologna, Paula Bonomini, Fernando E Casado, David Charte, Francisco Charte, Ricardo Contreras, Alfredo Cuesta-Infante, Richard J Duro, Antonio Fernandez-Caballero, Eduardo Fernandez-Jover, Pedro Gomez-Vilda, Manuel Grana, Francisco Herrera, Roberto Iglesias, Anna Lekova, Javier De Lope, Ezequiel Lopez-Rubio, Rafael Martinez-Tomas, Miguel A Molina-Cabello, Antonio S Montemayor, Paulo Novais, Daniel Palacios-Alonso, Juan J Pantrigo, Bryson R Payne, Felix de la Paz Lopez, María Angélica Pinninghoff, Mariano Rincon, Jose Santos, Karl Thurnhofer-Hemsi, Athanasios Tsanas, Ramiro Varela, Jose M Ferrandez
Publication date
2020/10/14
Journal
Neurocomputing
Volume
410
Pages
237-270
Publisher
Elsevier
Description
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 …
Scholar articles
JM Górriz, J Ramírez, A Ortiz, FJ Martinez-Murcia… - Neurocomputing, 2020