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Trends in Artificial Intelligence: PRICAI 2016 Workshops

Overview of attention for book
Cover of 'Trends in Artificial Intelligence: PRICAI 2016 Workshops'

Table of Contents

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    Book Overview
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    Chapter 1 Exploring the Distributional Semantic Relation for ADR and Therapeutic Indication Identification in EMR
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    Chapter 2 Desktop Tower Defense Is NP-Hard
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    Chapter 3 A Regression-Based SVD Parallelization Using Overlapping Folds for Textual Data
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    Chapter 4 Virtual Reality System with Smartphone Application for Height Exposure
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    Chapter 5 Classification of Diabetic Retinopathy Stages Using Image Segmentation and an Artificial Neural Network
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    Chapter 6 Building a Semantic Ontology for Virtual Peers in Narrative-Based Environments
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    Chapter 7 Contents Organization Support for Logical Presentation Flow
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    Chapter 8 A Framework to Generate Carrier Path Using Semantic Similarity of Competencies in Job Position
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    Chapter 9 Inferring Tourist Behavior and Purposes of a Twitter User
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    Chapter 10 Application of Annotation Smoothing for Subject-Independent Emotion Recognition Based on Electroencephalogram
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    Chapter 11 Modeling Negative Affect Detector of Novice Programming Students Using Keyboard Dynamics and Mouse Behavior
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    Chapter 12 Affective Laughter Expressions from Body Movements
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    Chapter 13 Real-Time Snoring Sound Detecting U Shape Pillow System Using Data Analysis Algorithm
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    Chapter 14 The Electroencephalography Signals Using Artificial Neural Network for Monitoring Fatigue System
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    Chapter 15 Arrival Time Prediction and Train Tracking Analysis
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    Chapter 16 Estimating PSD Characteristics of ECG in Comparison Between Normal and Supraventricular Subjects
Overall attention for this book and its chapters
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Title
Trends in Artificial Intelligence: PRICAI 2016 Workshops
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-60675-0
ISBNs
978-3-31-960674-3, 978-3-31-960675-0
Editors

Masayuki Numao, Thanaruk Theeramunkong, Thepchai Supnithi, Mahasak Ketcham, Narit Hnoohom, Patiyuth Pramkeaw

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 40%
Student > Ph. D. Student 3 20%
Student > Bachelor 2 13%
Researcher 2 13%
Student > Doctoral Student 2 13%
Other 1 7%
Readers by discipline Count As %
Computer Science 10 67%
Engineering 2 13%
Linguistics 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Medicine and Dentistry 1 7%
Other 1 7%

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