Artificial Neural Networks and Machine Learning – ICANN 2024 PDF Download
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Author: Michael Wand
Publisher: Springer Nature
ISBN: 3031723597
Category :
Languages : en
Pages : 469
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Book Description
Author: Michael Wand
Publisher: Springer Nature
ISBN: 3031723597
Category :
Languages : en
Pages : 469
Get Book Here
Book Description
Author: Michael Wand
Publisher: Springer Nature
ISBN: 3031723562
Category :
Languages : en
Pages : 509
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Book Description
Author: Michael Wand
Publisher: Springer Nature
ISBN: 3031723473
Category :
Languages : en
Pages : 353
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Author: Michael Wand
Publisher: Springer Nature
ISBN: 3031723414
Category :
Languages : en
Pages : 449
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Book Description
Author: Michael Wand
Publisher: Springer Nature
ISBN: 3031723384
Category :
Languages : en
Pages : 483
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Author: Michael Wand
Publisher: Springer Nature
ISBN: 3031723538
Category :
Languages : en
Pages : 489
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Author: Michael Wand
Publisher: Springer Nature
ISBN: 3031723503
Category :
Languages : en
Pages : 476
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Author: Michael Wand
Publisher: Springer Nature
ISBN: 3031723325
Category :
Languages : en
Pages : 497
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Author: Michael Wand
Publisher: Springer Nature
ISBN: 303172335X
Category :
Languages : en
Pages : 486
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Book Description
Author: Igor Farkaš
Publisher: Springer Nature
ISBN: 3030616096
Category : Computers
Languages : en
Pages : 901
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Book Description
The proceedings set LNCS 12396 and 12397 constitute the proceedings of the 29th International Conference on Artificial Neural Networks, ICANN 2020, held in Bratislava, Slovakia, in September 2020.* The total of 139 full papers presented in these proceedings was carefully reviewed and selected from 249 submissions. They were organized in 2 volumes focusing on topics such as adversarial machine learning, bioinformatics and biosignal analysis, cognitive models, neural network theory and information theoretic learning, and robotics and neural models of perception and action. *The conference was postponed to 2021 due to the COVID-19 pandemic.