Brain Informatics

1. Applications

   1. Multiplication of EEG Samples through Replicating, Biasing, and Overlapping

      • Adham Atyabi, Sean P. Fitzgibbon, David M. W. Powers

      Pages 209-219

   2. The Impact of PSO Based Dimension Reduction on EEG Classification

      • Adham Atyabi, Martin H. Luerssen, Sean P. Fitzgibbon, David M. W. Powers

      Pages 220-231

   3. Modified Shared Circuits Model for Manufacturing Processes Control:

      • Rodolfo E. Haber Guerra, Alfonso Sánchez Boza, Agustín Gajate, Raúl M. del Toro

      Pages 232-242

   4. A Brain-Inspired Computational Model of Emotion and Attention Interaction

      • Silviano Díaz Barriga, Luis-Felipe Rodríguez, Félix Ramos, Marco Ramos

      Pages 243-254

   5. Chinese Medicine Formula Network Analysis for Core Herbal Discovery

      • Gao Yuan, Liu Zheng, Wang Chong-Jun, Fan Xin-Sheng, Xie Jun-Yuan

      Pages 255-264

   6. An EEG-Based Brain Informatics Application for Enhancing Music Experience

      • Yike Guo, Chao Wu, Diego Peteiro-Barral

      Pages 265-276

   7. Decoding of EEG Activity from Object Views: Active Detection vs. Passive Visual Tasks

      • Sudhir Sasane, Lars Schwabe

      Pages 277-287

   8. A Cognitive Architecture Based on Cognitive/Neurological Dual-System Theories

      • Othalia Larue, Pierre Poirier, Roger Nkambou

      Pages 288-299

2. Special Session on Granular Computing and Brain Informatics

   1. A Preliminary Study Using Granular Computing for Remote Sensing Image Segmentation Involving Roughness

      • Ge Cui, Xin Wang

      Pages 300-308

   2. Semi-supervised Clustering via Constrained Symmetric Non-negative Matrix Factorization

      • Liping Jing, Jian Yu, Tieyong Zeng, Yan Zhu

      Pages 309-319

   3. Granular Association Rule Mining through Parametric Rough Sets

      • Fan Min, William Zhu

      Pages 320-331

   4. Comparison of Granular Computing Models in a Set-Theoretic Framework

      • Ying Wang, Duoqian Miao

      Pages 332-337

   5. Multiple Representations of Web Content for Effective Knowledge Utilization

      • Yiyu Yao, Sheila Petty

      Pages 338-347

   6. Rule Measures Tradeoff Using Game-Theoretic Rough Sets

      • Yan Zhang, JingTao Yao

      Pages 348-359

   7. A Comparison Study of Cost-Sensitive Classifier Evaluations

      • Bing Zhou, Qingzhong Liu

      Pages 360-371

3. Back Matter

   PDF

This book constitutes the refereed proceedings of the International Conference on Brain Informatics, BI 2012, held in Macau, China, in December 2012. The 34 revised full papers were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on computer science, information technology, artificial intelligence, web intelligence, cognitive science, neuroscience, medical science, life science, economics, data mining, data and knowledge engineering, intelligent agent technology, human computer interaction, complex systems, and system science.

• computational complexity
• granular computing
• machine learning
• particle swarm optimization
• rough sets
• algorithm analysis and problem complexity

• Department of Enterprise Engineering, University of Rome “Tor Vergata”, Roma, Italy

  Fabio Massimo Zanzotto

• Department of Medical Informatics, Faculty of Medicine, Shimane University, Izumo-city, Japan

  Shusaku Tsumoto

• Department of Artificial Intelligence, Faculty of Mathematics and Natural Sciences, University of Groningen, Groningen, Netherlands

  Niels Taatgen

• Department of Computer Science, University of Regina, Regina, Canada

  Yiyu Yao

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