TY  - BOOK
AU  - Ferrández Vicente,José Manuel
AU  - Álvarez-Sánchez,José Ramón
AU  - de la Paz López,Félix
AU  - Toledo Moreo,Javier
AU  - Adeli,Hojjat
ED  - SpringerLink (Online service)
TI  - Natural and Artificial Computation for Biomedicine and Neuroscience: International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Corunna, Spain, June 19-23, 2017, Proceedings, Part I 
T2  - Theoretical Computer Science and General Issues
SN  - 9783319597409
AV  - QA75.5-76.95 
U1  - 004.0151 23
PY  - 2017///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computers
KW  - Algorithms
KW  - Optical data processing
KW  - Artificial intelligence
KW  - Application software
KW  - Computation by Abstract Devices
KW  - Algorithm Analysis and Problem Complexity
KW  - Image Processing and Computer Vision
KW  - Artificial Intelligence
KW  - Information Systems Applications (incl. Internet)
N1  - Theoretical neural computation -- Models -- Natural computing in bioinformatics -- Physiological computing in affective smart environments -- Emotions -- Signal processing and machine learning applied to biomedical and neuroscience applications
N2  - The two volumes LNCS 10337 and 10338 constitute the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, held in Corunna, Spain, in June 2017. The total of 102 full papers was carefully reviewed and selected from 194 submissions during two rounds of reviewing and improvement. The papers are organized in two volumes, one on natural and artificial computation for biomedicine and neuroscience, addressing topics such as theoretical neural computation; models; natural computing in bioinformatics; physiological computing in affective smart environments; emotions; as well as signal processing and machine learning applied to biomedical and neuroscience applications. The second volume deals with biomedical applications, based on natural and artificial computing and addresses topics such as biomedical applications; mobile brain computer interaction; human robot interaction; deep learning; machine learning applied to big data analysis; computational intelligence in data coding and transmission; and applications
UR  - https://doi.org/10.1007/978-3-319-59740-9
ER  -