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020 _a9783031159374
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024 7 _a10.1007/978-3-031-15937-4
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245 1 0 _aArtificial Neural Networks and Machine Learning - ICANN 2022
_h[electronic resource] :
_b31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings; Part IV /
_cedited by Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2022.
300 _aXXII, 795 p. 280 illus., 259 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13532
520 _aThe 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol, UK, in September 2022. The total of 255 full papers presented in these proceedings was carefully reviewed and selected from 561 submissions. ICANN 2022 is a dual-track conference featuring tracks in brain inspired computing and machine learning and artificial neural networks, with strong cross-disciplinary interactions and applications.
650 0 _aArtificial intelligence.
_93407
650 0 _aApplication software.
_9174328
650 0 _aComputer vision.
_9174329
650 0 _aComputer engineering.
_910164
650 0 _aComputer networks .
_931572
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer and Information Systems Applications.
_9174330
650 2 4 _aComputer Vision.
_9174331
650 2 4 _aComputer Engineering and Networks.
_9174332
700 1 _aPimenidis, Elias.
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700 1 _aAngelov, Plamen.
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700 1 _aJayne, Chrisina.
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700 1 _aPapaleonidas, Antonios.
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_4http://id.loc.gov/vocabulary/relators/edt
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700 1 _aAydin, Mehmet.
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_4http://id.loc.gov/vocabulary/relators/edt
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710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Computer Science,
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856 4 0 _uhttps://doi.org/10.1007/978-3-031-15937-4
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