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Human Brain and Artificial Intelligence

First International Workshop, HBAI 2019, Held in Conjunction with IJCAI 2019, Macao, China, August 12, 2019, Revised Selected Papers

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. An Zeng

    1. Guangdong University of Technology, Guangzhou, China

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  2. Dan Pan

    1. Guangdong Construction Polytechnic, Guangzhou, China

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  3. Tianyong Hao

    1. South China Normal University, Guangzhou, China

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  4. Daoqiang Zhang

    1. Nanjing University of Aeronautics and Astronautics, Nanjing, China

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  5. Yiyu Shi

    1. University of Notre Dame, South Bend, USA

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  6. Xiaowei Song

    1. Simon Fraser University, Vancouver, Canada

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1072)

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Conference proceedings info: HBAI 2019.

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About this book

This book constitutes the refereed proceedings of the workshop held in conjunction with the 28th International Conference on Artificial Intelligence, IJCAI 2019, held in Macao, China, in August 2019: the First International Workshop on Human Brain and Artificial Intelligence, HBAI 2019. 

The 24 full papers presented were carefully reviewed and selected from 62 submissions. The papers are organized according to the following topical headings: computational brain science and its applications; brain-inspired artificial intelligence and its applications.

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Table of contents (24 papers)

  1. Front Matter

    Pages i-xi
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  2. Computational Brain Science and Its Applications

    1. Front Matter

      Pages 1-1
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    2. EEGNAS: Neural Architecture Search for Electroencephalography Data Analysis and Decoding

      • Elad Rapaport, Oren Shriki, Rami Puzis
      Pages 3-20

    3. Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer’s Disease

      • Qunxi Dong, Jie Zhang, Qingyang Li, Pau M. Thompson, Richard J. Caselli, Jieping Ye et al.
      Pages 21-35

    4. A Robust Automated Pipeline for Localizing SEEG Electrode Contacts

      • Zefan Lin, Guofu Wang, Jiaru Cheng, Yaoxin Lin, Jianping Liu, Jiayin Lin et al.
      Pages 36-51

    5. Early Diagnosis of Alzheimer’s Disease Based on Deep Learning and GWAS

      • Dan Pan, Yin Huang, An Zeng, Longfei Jia, Xiaowei Song, for Alzheimer’s Disease Neuroimaging Initiative (ADNI)
      Pages 52-68

    6. Trends and Features of Human Brain Research Using Artificial Intelligence Techniques: A Bibliometric Approach

      • Xieling Chen, Xinxin Zhang, Haoran Xie, Fu Lee Wang, Jun Yan, Tianyong Hao
      Pages 69-83

    7. Investigating Lexical and Semantic Cognition by Using Neural Network to Encode and Decode Brain Imaging

      • Lu Cao, Yue Zhang
      Pages 84-100

    8. Applying Attention Mechanism and Deep Neural Network for Medical Object Segmentation and Classification in X-Ray Fluoroscopy Images

      • Yong Zhang, Jun Yan, Haitao Huang, Christopher Yencha
      Pages 101-110

    9. Effect of Age on Postural Balance and Control: Graph Based Connectivity Analysis on Brain Network

      • Oishee Mazumder, Kingshuk Chakravarty, Debatri Chatterjee, Soumya Jyoti Banerjee, Aniruddha Sinha
      Pages 111-120

    10. Intraoperative Accurate Automatic Modeling of Skull Defects with Neuronavigation System

      • Yangjie Xie, Rongqian Yang
      Pages 121-129

  3. Brain-Inspired Artificial Intelligence and Its Applications

    1. Front Matter

      Pages 131-131
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    2. Task-Nonspecific and Modality-Nonspecific AI

      • Juyang Weng, Juan Castro-Garcia, Zejia Zheng, Xiang Wu
      Pages 133-150

    3. Brain Research and Arbitrary Multiscale Quantum Uncertainty

      • Rodolfo A. Fiorini
      Pages 151-169

    4. Implicit Cognition and Understanding Unobserved Human Mind States by Machines

      • Amy Wenxuan Ding
      Pages 170-180

    5. Learning Preferences in a Cognitive Decision Model

      • Taher Rahgooy, K. Brent Venable
      Pages 181-194

    6. Neural Networks as Model Selection with Incremental MDL Normalization

      • Baihan Lin
      Pages 195-208

    7. Tensor Super-Resolution with Generative Adversarial Nets: A Large Image Generation Approach

      • Zihan Ding, Xiao-Yang Liu, Miao Yin, Linghe Kong
      Pages 209-223

    8. Avoiding Implementation Pitfalls of “Matrix Capsules with EM Routing” by Hinton et al.

      • Ashley Daniel Gritzman
      Pages 224-234

    9. Adaptive Joint Attention with Reinforcement Training for Convolutional Image Caption

      • Ruoyu Chen, Zhongnian Li, Daoqiang Zhang
      Pages 235-247
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Other volumes

  1. Human Brain and Artificial Intelligence

Editors and Affiliations

  • Guangdong University of Technology, Guangzhou, China

    An Zeng

  • Guangdong Construction Polytechnic, Guangzhou, China

    Dan Pan

  • South China Normal University, Guangzhou, China

    Tianyong Hao

  • Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Daoqiang Zhang

  • University of Notre Dame, South Bend, USA

    Yiyu Shi

  • Simon Fraser University, Vancouver, Canada

    Xiaowei Song

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