Human brain and artificial intelligence : second international workshop, HBAI 2020 : held in conjunction with IJCAI-PRICAI 2020, Yokohama, Japan, January 7, 2021 : revised selected papers

Human brain and artificial intelligence : second international workshop, HBAI 2020 : held in conjunction with IJCAI-PRICAI 2020, Yokohama, Japan, January 7, 2021 : revised selected papers / Yueming Wang (ed.).

This book constitutes the refereed proceedings of the Second International Workshop on Human Brain and Artificial Intelligence, HBAI 2020, held in conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, in January 2021. Due to the COVID-19 pandemic HBAI 2020 was held in the year 2021 and transferred into...

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Bibliographic Details
Corporate Author: HBAI (Conference) Online)
Other Authors: Wang, Yueming (Editor)
Format: eBook
Language:English
Published: Singapore : Springer, [2021]
Series:Communications in computer and information science ; 1369.
Subjects:
Artificial intelligence > Medical applications > Congresses.
Brain-computer interfaces > Congresses.
Artificial intelligence > Medical applications
Brain-computer interfaces
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Online Access:Click for online access
Table of Contents:
  • ARLIF: A exible and efficient recurrent neuronal model for sequential tasks
  • Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL
  • Machines Develop Consciousness through Autonomous Programming for General Purposes (APFGP)
  • Incorporating Task-related Information in Dimensionality Reduction of Neural Population using Autoencoders
  • Effective and Efficient ROI-wise Visual Encoding using an End-to-end CNN Regression Model and Selective Optimization
  • Deep Insights into Graph Adversarial Learning: An Empirical Study Perspective
  • Brain-Controlled Robotic Arm Based on Adaptive FBCCA
  • Automatic Sleep Spindle Detection and Analysis in Patients with Sleep Disorders
  • Diagnosing Parkinsons Disease Using Multimodal Physiological Signals
  • Emotion recognition using multi-core tensor learning and multimodal physiological signal
  • A review of transfer learning for EEG-based driving fatigue detection.

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