Advances In Neural Computation Machine Learning And Cognitive Research Iv
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Author |
: Boris Kryzhanovsky |
Publisher |
: Springer Nature |
Total Pages |
: 441 |
Release |
: 2020-10-01 |
ISBN-10 |
: 9783030605773 |
ISBN-13 |
: 3030605779 |
Rating |
: 4/5 (73 Downloads) |
Synopsis Advances in Neural Computation, Machine Learning, and Cognitive Research IV by : Boris Kryzhanovsky
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 XXII International Conference on Neuroinformatics, held on October 12-16, 2020, Moscow, Russia.
Author |
: Boris Kryzhanovsky |
Publisher |
: Springer Nature |
Total Pages |
: 537 |
Release |
: |
ISBN-10 |
: 9783031736919 |
ISBN-13 |
: 3031736915 |
Rating |
: 4/5 (19 Downloads) |
Synopsis Advances in Neural Computation, Machine Learning, and Cognitive Research VIII by : Boris Kryzhanovsky
Author |
: Boris Kryzhanovsky |
Publisher |
: Springer Nature |
Total Pages |
: 365 |
Release |
: 2021-11-22 |
ISBN-10 |
: 9783030915810 |
ISBN-13 |
: 3030915816 |
Rating |
: 4/5 (10 Downloads) |
Synopsis Advances in Neural Computation, Machine Learning, and Cognitive Research V by : Boris Kryzhanovsky
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 XXIII International Conference on Neuroinformatics, held on October 18-22, 2021, Moscow, Russia.
Author |
: Boris Kryzhanovsky |
Publisher |
: Springer Nature |
Total Pages |
: 585 |
Release |
: 2022-10-18 |
ISBN-10 |
: 9783031190322 |
ISBN-13 |
: 3031190327 |
Rating |
: 4/5 (22 Downloads) |
Synopsis Advances in Neural Computation, Machine Learning, and Cognitive Research VI by : Boris Kryzhanovsky
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 XXIV International Conference on Neuroinformatics, held on October 17–21, 2022, in Moscow, Russia.
Author |
: Boris Kryzhanovsky |
Publisher |
: Springer |
Total Pages |
: 208 |
Release |
: 2017-08-28 |
ISBN-10 |
: 9783319666044 |
ISBN-13 |
: 3319666045 |
Rating |
: 4/5 (44 Downloads) |
Synopsis Advances in Neural Computation, Machine Learning, and Cognitive Research by : Boris Kryzhanovsky
This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learning. It discusses cutting-edge research at the intersection between different fields, from topics such as cognition and behavior, motivation and emotions, to neurocomputing, deep learning, classification and clustering. Further topics include signal processing methods, robotics and neurobionics, and computer vision alike. The book includes selected papers from the XIX International Conference on Neuroinformatics, held on October 2-6, 2017, in Moscow, Russia.
Author |
: Boris Kryzhanovsky |
Publisher |
: Springer |
Total Pages |
: 199 |
Release |
: 2018-05-12 |
ISBN-10 |
: 331988283X |
ISBN-13 |
: 9783319882833 |
Rating |
: 4/5 (3X Downloads) |
Synopsis Advances in Neural Computation, Machine Learning, and Cognitive Research by : Boris Kryzhanovsky
This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learning. It discusses cutting-edge research at the intersection between different fields, from topics such as cognition and behavior, motivation and emotions, to neurocomputing, deep learning, classification and clustering. Further topics include signal processing methods, robotics and neurobionics, and computer vision alike. The book includes selected papers from the XIX International Conference on Neuroinformatics, held on October 2-6, 2017, in Moscow, Russia.
Author |
: Boris Kryzhanovsky |
Publisher |
: Springer Nature |
Total Pages |
: 434 |
Release |
: 2019-09-03 |
ISBN-10 |
: 9783030304256 |
ISBN-13 |
: 3030304256 |
Rating |
: 4/5 (56 Downloads) |
Synopsis Advances in Neural Computation, Machine Learning, and Cognitive Research III by : Boris Kryzhanovsky
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 XXI International Conference on Neuroinformatics, held on October 7-11, 2019, in Dolgoprudny, a town in Moscow region, Russia.
Author |
: Boris Kryzhanovsky |
Publisher |
: Springer |
Total Pages |
: 353 |
Release |
: 2018-10-06 |
ISBN-10 |
: 9783030013288 |
ISBN-13 |
: 3030013286 |
Rating |
: 4/5 (88 Downloads) |
Synopsis Advances in Neural Computation, Machine Learning, and Cognitive Research II by : Boris Kryzhanovsky
This book describes new theories and applications of artificial neural networks, with a special focus on addressing problems 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 XX International Conference on Neuroinformatics, held in Moscow, Russia on October 8–12, 2018.
Author |
: Boris Kryzhanovsky |
Publisher |
: Springer Nature |
Total Pages |
: 505 |
Release |
: 2023-11-12 |
ISBN-10 |
: 9783031448652 |
ISBN-13 |
: 3031448650 |
Rating |
: 4/5 (52 Downloads) |
Synopsis Advances in Neural Computation, Machine Learning, and Cognitive Research VII by : Boris Kryzhanovsky
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.
Author |
: Sergey Kovalev |
Publisher |
: Springer Nature |
Total Pages |
: 716 |
Release |
: 2021-09-15 |
ISBN-10 |
: 9783030871789 |
ISBN-13 |
: 3030871789 |
Rating |
: 4/5 (89 Downloads) |
Synopsis Proceedings of the Fifth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’21) by : Sergey Kovalev
This book presents key advances in intelligent information technologies for industry. This book of Lecture Notes in Networks and Systems contains the papers presented in the main track of IITI 2021, the Fifth International Scientific Conference on Intelligent Information Technologies for Industry held on September 30 – October 4, 2021 in Sirius, Russia. The conference was jointly co-organized by Rostov State Transport University (Russia) and VŠB–Technical University of Ostrava (Czech Republic) with the participation of Russian Association for Artificial Intelligence (RAAI) and Sirius University (Russia). IITI 2021 was devoted to practical models and industrial applications related to intelligent information systems. It was considered as a meeting point for researchers and practitioners to enable the implementation of advanced information technologies into various industries. Nevertheless, some theoretical talks concerning the state of the art in intelligent systems and soft computing were also included into proceedings. There were 180 paper submissions from 14 countries. Each submission was reviewed by at least three chairs or PC members. We accepted 69 regular papers (38\%). Unfortunately, due to limitations of conference topics and edited volumes, the Program Committee was forced to reject some interesting papers, which did not satisfy these topics or publisher requirements. We would like to thank all authors and reviewers for their work and valuable contributions. The friendly and welcoming attitude of conference supporters and contributors made this event a success!