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Brain Function Assessment in Learning: First International Conference, BFAL 2017, Patras, Greece, September 24-25, 2017, Proceedings 1st ed. 2017 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 215 pages, height x width: 235x155 mm, weight: 3577 g, 60 Illustrations, black and white; XV, 215 p. 60 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Artificial Intelligence 10512
  • Izdošanas datums: 07-Sep-2017
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319676148
  • ISBN-13: 9783319676142
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Brain Function Assessment in Learning: First International Conference, BFAL 2017, Patras, Greece, September 24-25, 2017, Proceedings 1st ed. 2017Palielināt
  • Formāts: Paperback / softback, 215 pages, height x width: 235x155 mm, weight: 3577 g, 60 Illustrations, black and white; XV, 215 p. 60 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Artificial Intelligence 10512
  • Izdošanas datums: 07-Sep-2017
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319676148
  • ISBN-13: 9783319676142
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783319676142.html
Keywords:
This book constitutes the thoroughly refereed proceedings of the First International Conference on Brain Function Assessment in Learning, BFAL 2017, held in Patras, Greece, in September 2017.The 16 revised full papers presented together with 2 invited talks and 6 posters were carefully selected from 28 submissions.

This book constitutes the thoroughly refereed proceedings of the First International Conference on Brain Function Assessment in Learning, BFAL 2017, held in Patras, Greece, in September 2017.

The 16 revised full papers presented together with 2 invited talks and 6 posters were carefully selected from 28 submissions. The BFAL conference aims to regroup research in multidisciplinary domains such as neuroscience, health, computer science, artificial intelligence, human-computer interaction, education and social interaction on the theme of Brain Function Assessment in Learning.


Keynote Speakers
Affective Learning: Principles, Technologies, Practice
1(13)
Panagiotis D. Bamidis
Understanding How Learning Takes Place with Neuroscience and Applying the Results to Education
14(22)
Andreas A. Ioannides
Learning
Tracing and Enhancing Serendipitous Learning with Viewpoints
36(12)
Stefano A. Cerri
Philippe Lemoisson
Online Brain Training Programs for Healthy Older Individuals
48(9)
Blanka Klimova
Evaluating Active Learning Methods for Bankruptcy Prediction
57(10)
Georgios Kostopoulos
Stamatis Karlos
Sotiris Kotsiantis
Vassilis Tampakas
A Prognosis of Junior High School Students' Performance Based on Active Learning Methods
67(10)
Georgios Kostopoulos
Sotiris Kotsiantis
Vassilios S. Verykios
The Effects of Working Memory Training on Cognitive Flexibility in Man
77(11)
Vasiliky Stavroulaki
Eleni Kazantzaki
Panagiotis Bitsios
Kyriaki Sidiropoulou
Stella G. Giakoumaki
Computers Cannot Learn the Way Humans Do -- Partly, Because They Do not Sleep
88(10)
George K. Kostopoulos
Neural Assessment
Modeling Animal Brains with Evolutive Cognitive Schemas
98(10)
Pierre Bonzon
Neural Knowledge Tracing
108(10)
Long Sha
Pengyu Hong
Game Experience and Brain Based Assessment of Motivational Goal Orientations in Video Games
118(15)
Mohamed S. Benlamine
Rene Dombouya
Aude Dufresne
Claude Frasson
Real-time Brain Assessment for Adaptive Virtual Reality Game: A Neurofeedback Approach
133(11)
Hamdi Ben Abdessalem
Claude Frasson
Event-Related Brain Potentials from Pictures Relevant to Disaster Education
144(15)
Angeliki Tsiara
Tassos A. Mikropoulos
Dimitris Mavridis
Julien Mercier
Real-time Spindles Detection for Acoustic Neurofeedback
159(10)
Stella Zotou
George K. Kostopoulos
Theodore A. Antonakopoulos
Examining the Efficiency of Feedback Types in a Virtual Reality Educational Environment for Learning Search Algorithms
169(7)
Foteini Grivokostopoulou
Isidoros Perikos
Ioannis Hatzilygeroudis
Virtual Sophrologist: A Virtual Reality Neurofeedback Relaxation Training System
176(10)
Guoxin Gu
Claude Frasson
Different Frequency-Dependent Properties Between Dorsal and Ventral Hippocampal Synapses
186(6)
Costas Papatheodoropoulos
Using Electroencephalograms to Interpret and Monitor the Emotions
192(11)
Amin Shahab
Claude Frasson
Posters
The Long Lasting Effect of Neonatal Handling on mGluR5 and Arc mRNA Levels in Medial Prefrontal Cortex of Rat Brain
203(2)
Maria Nikolakopoulou
Anna Abatzi
Panagiotis Giompres
Elias D. Kouvelas
Ada Mitsacos
Escalating Low-dose Δ-THC Treatment in Adolescence Induces Spatial Memory Deficits in Adulthood
205(2)
Nafsika Poulia
Foteini Delis
Alexia Polissidis
Nikolaos Pitsikas
Katerina Antoniou
Performance Comparisons of Classifiers Applied to Electroencephalogram Signals
207(2)
Alisson Ravaglio Santos
Gabriel Chaves Becchi
Emerson Hochsteiner de Vasconcelos Segundo
Viviana Cocco Mariani
Leandro dos Santos Coelho
Quadcopter Control Based on Electroencephalogram Headset and Hybrid Fuzzy Classifier
209(2)
Alisson Ravaglio Santos
Guilherme Nack Cordeiro
Gabriel Chaves Becchi
Helon V.H. Ayala
Viviana Cocco Mariani
Leandro dos Santos Coelho
Support Vector Machine Approaches with Features Selection to Detect Cognitive States from Brain Images
211(2)
Marco Antonio Boaretto
Emerson Hochsteiner de Vasconcelos Segundo
Viviana Cocco Mariani
Leandro dos Santos Coelho
Support Vector Machine Optimized by Artificial Bee Colony Applied to EEG Pattern Recognition
213(2)
Diogo Schwerz de Lucena
Sinvaldo Rodrigues Moreno
Leandro dos Santos Coelho
Author Index 215