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Brain Informatics

International Conference, BI 2018, Arlington, TX, USA, December 7–9, 2018, Proceedings

  • Conference proceedings
  • © 2018

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Editors:
  1. Shouyi Wang

    1. University of Texas at Arlington, Arlington, USA

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  2. Vicky Yamamoto

    1. University of Southern California, West Hollywood, USA

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  3. Jianzhong Su

    1. Department of Mathematics, University of Texas at Arlington, Arlington, USA

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  4. Yang Yang

    1. Maebashi Institute of Technology, Gunma, Japan

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  5. Erick Jones

    1. The University of Texas at Arlington, Arlington, USA

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  6. Leon Iasemidis

    1. Louisiana Tech University, Arlington, USA

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  7. Tom Mitchell

    1. Carnegie Mellon University, Pittsburgh, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11309)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: BI 2018.

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Table of contents (46 papers)

  1. Brain Big Data Analytics, Curation and Management

    1. Use of Temporal Attributes in Detection of Functional Areas in Basal Ganglia

      • Konrad A. Ciecierski
      Pages 175-185

    2. Influence of Time-Series Extraction on Binge Drinking Interpretability Using Functional Connectivity Analysis

      • J. I. Padilla-Buriticá, H. F. Torres, E. Pereda, A. Correa, G. Castellanos-Domínguez
      Pages 186-194

    3. Regularized State Observers for Source Activity Estimation

      • Andrés Felipe Soler, Pablo Andrés Muñoz-Gutiérrez, Eduardo Giraldo
      Pages 195-204

    4. Distributional Representation for Resting-State Functional Brain Connectivity Analysis

      • Jiating Zhu, Jiannong Cao
      Pages 205-215

    5. Deep Neural Networks for Automatic Classification of Anesthetic-Induced Unconsciousness

      • Konstantinos Patlatzoglou, Srivas Chennu, Mélanie Boly, Quentin Noirhomme, Vincent Bonhomme, Jean-Francois Brichant et al.
      Pages 216-225

    6. Efficient and Automatic Subspace Relevance Determination via Multiple Kernel Learning for High-Dimensional Neuroimaging Data

      • Murat Seçkin Ayhan, Vijay Raghavan
      Pages 226-238

    7. Improving SNR and Reducing Training Time of Classifiers in Large Datasets via Kernel Averaging

      • Matthias S. Treder
      Pages 239-248

    8. Automatic Recognition of Resting State fMRI Networks with Dictionary Learning

      • Debadatta Dash, Bharat Biswal, Anil Kumar Sao, Jun Wang
      Pages 249-259

    9. Simultaneous EEG Analysis and Feature Extraction Selection Based on Unsupervised Learning

      • Badar Almarri, Chun-Hsi Huang
      Pages 260-269

    10. Construction of Sparse Weighted Directed Network (SWDN) from the Multivariate Time-Series

      • Rahilsadat Hosseini, Feng Liu, Shouyi Wang
      Pages 270-281

    11. Preference Prediction Based on Eye Movement Using Multi-layer Combinatorial Fusion

      • Christina Schweikert, Louis Gobin, Shuxiao Xie, Shinsuke Shimojo, D. Frank Hsu
      Pages 282-293

    12. A Multilayer Network Approach for Studying Creative Ideation from EEG

      • Rohit Bose, Kumar Ashutosh, Junhua Li, Andrei Dragomir, Nitish Thakor, Anastasios Bezerianos
      Pages 294-303

    13. Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization

      • Feng Liu, Shouyi Wang, Jing Qin, Yifei Lou, Jay Rosenberger
      Pages 304-316

  2. Informatics Paradigms for Brain and Mental Health Research

    1. Front Matter

      Pages 317-317
      Download chapter PDF

    2. Analysis of Epileptic Activity Based on Brain Mapping of EEG Adaptive Time-Frequency Decomposition

      • Maximiliano Bueno-López, Pablo A. Muñoz-Gutiérrez, Eduardo Giraldo, Marta Molinas
      Pages 319-328

    3. Resting State EEG Based Depression Recognition Research Using Deep Learning Method

      • Wandeng Mao, Jing Zhu, Xiaowei Li, Xin Zhang, Shuting Sun
      Pages 329-338

    4. Tensor Decomposition for Neurodevelopmental Disorder Prediction

      • Shah Muhammad Hamdi, Yubao Wu, Soukaina Filali Boubrahimi, Rafal Angryk, Lisa Crystal Krishnamurthy, Robin Morris
      Pages 339-348

    5. Feature Selection and Imbalanced Data Handling for Depression Detection

      • Marzieh Mousavian, Jianhua Chen, Steven Greening
      Pages 349-358

    6. Deep Convolutional Neural Networks for Automated Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment Using 3D Brain MRI

      • Jyoti Islam, Yanqing Zhang, for the Alzheimer’s Disease Neuroimaging Initiative*
      Pages 359-369

    7. Evaluating Mental Health Encounters in mTBI: Identifying Patient Subgroups and Recommending Personalized Treatments

      • Filip Dabek, Peter Hoover, Jesus Caban
      Pages 370-380
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  1. Brain Informatics

Keywords

About this book

This book constitutes the refereed proceedings of the International Conference on Brain Informatics, BI 2018, held in Arlington, TX, USA, in December 2018. The 46 revised full papers were carefully reviewed and selected from 53 submissions. The papers are grouped thematically on cognitive and computational foundations of brain science, human information processing systems, brain big data analysis, curation and management, informatics paradigms for brain and mental health research, brain-machine intelligence and brain-inspired computing.

Editors and Affiliations

  • University of Texas at Arlington, Arlington, USA

    Shouyi Wang

  • University of Southern California, West Hollywood, USA

    Vicky Yamamoto

  • Department of Mathematics, University of Texas at Arlington, Arlington, USA

    Jianzhong Su

  • Maebashi Institute of Technology, Gunma, Japan

    Yang Yang

  • The University of Texas at Arlington, Arlington, USA

    Erick Jones

  • Louisiana Tech University, Arlington, USA

    Leon Iasemidis

  • Carnegie Mellon University, Pittsburgh, USA

    Tom Mitchell

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