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Cognitive Infocommunications, Theory and Applications

Overview of attention for book
Cognitive Infocommunications, Theory and Applications
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Using Deep Rectifier Neural Nets and Probabilistic Sampling for Topical Unit Classification
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    Chapter 2 Monte Carlo Methods for Real-Time Driver Workload Estimation Using a Cognitive Architecture
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    Chapter 3 Cognitive Data Visualization—A New Field with a Long History
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    Chapter 4 Executive Functions and Personality from a Systemic-Ecological Perspective
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    Chapter 5 Mirroring and Prediction of Gestures from Interlocutor’s Behavior
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    Chapter 6 Automatic Labeling Affective Scenes in Spoken Conversations
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    Chapter 7 Tracking the Expression of Annoyance in Call Centers
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    Chapter 8 Modeling of Filled Pauses and Prolongations to Improve Slovak Spontaneous Speech Recognition
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    Chapter 9 Enhancing Air Traffic Management Security by Means of Conformance Monitoring and Speech Analysis
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    Chapter 10 Compassion Cluster Expression Features in Affective Robotics from a Cross-Cultural Perspective
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    Chapter 11 Understanding Human Sleep Behaviour by Machine Learning
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    Chapter 12 Electroencephalogram-Based Brain-Computer Interface for Internet of Robotic Things
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    Chapter 13 CogInfoCom-Driven Surgical Skill Training and Assessment
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    Chapter 14 Cognitive Cloud-Based Telemedicine System
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    Chapter 15 Pilot Application of Eye-Tracking to Analyze a Computer Exam Test
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    Chapter 16 The Edu-coaching Method in the Service of Efficient Teaching of Disruptive Technologies
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    Chapter 17 3D Modeling and Printing Interpreted in Terms of Cognitive Infocommunication
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    Chapter 18 Constraints Programming Driven Decision Support System for Rapid Production Flow Planning
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    Chapter 19 Improving Adaptive Gameplay in Serious Games Through Interactive Deep Reinforcement Learning
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    Chapter 20 A Study on a Protocol for Ad Hoc Network Based on Bluetooth Low Energy
Attention for Chapter 11: Understanding Human Sleep Behaviour by Machine Learning
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Citations

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Chapter title
Understanding Human Sleep Behaviour by Machine Learning
Chapter number 11
Book title
Cognitive Infocommunications, Theory and Applications
Published by
Springer, Cham, August 2018
DOI 10.1007/978-3-319-95996-2_11
Book ISBNs
978-3-31-995995-5, 978-3-31-995996-2
Authors

Antonino Crivello, Filippo Palumbo, Paolo Barsocchi, Davide La Rosa, Franco Scarselli, Monica Bianchini, Crivello, Antonino, Palumbo, Filippo, Barsocchi, Paolo, La Rosa, Davide, Scarselli, Franco, Bianchini, Monica

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 20%
Student > Master 2 20%
Lecturer 1 10%
Researcher 1 10%
Unknown 4 40%
Readers by discipline Count As %
Engineering 2 20%
Computer Science 2 20%
Biochemistry, Genetics and Molecular Biology 1 10%
Nursing and Health Professions 1 10%
Unknown 4 40%