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Intelligent Technologies for Interactive Entertainment

Overview of attention for book
Cover of 'Intelligent Technologies for Interactive Entertainment'

Table of Contents

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    Book Overview
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    Chapter 1 Syntropic Counterpoints: Philosophical Content Generated Between Two Artificial Intelligence Clones
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    Chapter 2 A Brief Overview on the Evolution of Drawing Machines
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    Chapter 3 Compression-Based Classification of ECG Using First-Order Derivatives
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    Chapter 4 Predicting Postoperative Complications for Gastric Cancer Patients Using Data Mining
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    Chapter 5 A Many-Valued Empirical Machine for Thyroid Dysfunction Assessment
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    Chapter 6 Detecting Automatic Patterns of Stroke Through Text Mining
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    Chapter 7 A Preliminary Evaluation of a Computer Vision-Based System to Detect Effects of Aromatherapy During High School Classes via Movement Analysis
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    Chapter 8 Virtual Agents for Professional Social Skills Training: An Overview of the State-of-the-Art
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    Chapter 9 A Machine Learning Approach to Detect Violent Behaviour from Video
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    Chapter 10 Detection and Prevention of Bullying on Online Social Networks: The Combination of Textual, Visual and Cognitive
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    Chapter 11 Exploring Novel Methodology for Classifying Cognitive Workload
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    Chapter 12 Scene Reconstruction for Storytelling in 360 $$^\circ $$ Videos
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    Chapter 13 User Behaviour Analysis and Personalized TV Content Recommendation
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    Chapter 14 Virtual and Augmented Reality Interfaces in Shared Game Environments: A Novel Approach
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    Chapter 15 Microbial Integration on Player Experience of Hybrid Bio-digital Games
Overall attention for this book and its chapters
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Mentioned by

1 news outlet
3 X users
1 patent

Readers on

6 Mendeley
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Intelligent Technologies for Interactive Entertainment
Published by
Springer International Publishing, May 2019
DOI 10.1007/978-3-030-16447-8
978-3-03-016446-1, 978-3-03-016447-8

Cortez, Paulo, Magalhães, Luís, Branco, Pedro, Portela, Carlos Filipe, Adão, Telmo

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Researcher 1 17%
Student > Doctoral Student 1 17%
Unknown 2 33%
Readers by discipline Count As %
Business, Management and Accounting 1 17%
Psychology 1 17%
Social Sciences 1 17%
Engineering 1 17%
Unknown 2 33%