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Record Nr. |
UNINA9910337840903321 |
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Titolo |
From Bioinspired Systems and Biomedical Applications to Machine Learning : 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain, June 3–7, 2019, Proceedings, Part II / / edited by José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Javier Toledo Moreo, Hojjat Adeli |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (XXIII, 476 p. 236 illus., 106 illus. in color.) |
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Collana |
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Theoretical Computer Science and General Issues, , 2512-2029 ; ; 11487 |
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Disciplina |
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Soggetti |
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Computer science |
Artificial intelligence |
Computer engineering |
Computer networks |
Image processing—Digital techniques |
Computer vision |
Theory of Computation |
Artificial Intelligence |
Computer Engineering and Networks |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Computer Communication Networks |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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The two volume set LNCS 11486 and 11487 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, held in Almería, Spain,, in June 2019. The total of 103 contributions was |
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carefully reviewed and selected from 190 submissions during two rounds of reviewing and improvement. The papers are organized in two volumes, one on understanding the brain function and emotions, addressing topics such as new tools for analyzing neural data, or detection emotional states, or interfacing with physical systems. The second volume deals with bioinspired systems and biomedical applications to machine learning and contains papers related bioinspired programming strategies and all the contributions oriented to the computational solutions to engineering problems in different applications domains, as biomedical systems, or big data solutions. |
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