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Record Nr. |
UNINA9910751390403321 |
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Autore |
Kryzhanovsky Boris |
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Titolo |
Advances in Neural Computation, Machine Learning, and Cognitive Research VII : Selected Papers from the XXV International Conference on Neuroinformatics, October 23-27, 2023, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev, Valentin Klimov |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (505 pages) |
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Collana |
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Studies in Computational Intelligence, , 1860-9503 ; ; 1120 |
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Altri autori (Persone) |
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Dunin-BarkowskiWitali |
RedkoVladimir |
TiumentsevYury |
KlimovValentin |
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Disciplina |
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Soggetti |
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Computational intelligence |
Machine learning |
Computational neuroscience |
Computational Intelligence |
Machine Learning |
Computational Neuroscience |
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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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Nota di contenuto |
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Evolution of Efficient Symbolic Communication Codes -- Solving the Problem of Diagnosing a Disease by ECG on the PTB-XL Dataset Using Deep Learning -- Zero-Shot NER via Extractive Question Answering -- TreeCurveNet – An Improved CurveNet for Tree Species Classification -- Dialogue Graphs: Enhancing Response Selection through Target Node Separation -- Research Methods for Fake News Detection in Bangla Text -- On the Question of the Dynamic Theory of Intelligence -- Offline Deep Reinforcement Learning for Robotic Arm Control in the ManiSkill Environment -- A Photostimuli Presenting Device for Customized SSVEP-based Brain-Computer Interfaces -- SNAC Approach to Aircraft Motion Control -- Russian Language Speech |
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Generation from Facial Video Recordings Using Variational Autoencoder. |
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Sommario/riassunto |
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This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain–computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXV International Conference on Neuroinformatics, held on October 23-27, 2023, in Moscow, Russia. |
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