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Trends in Artificial Intelligence: PRICAI 2016 Workshops

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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
Attention for Chapter 6: Building a Semantic Ontology for Virtual Peers in Narrative-Based Environments
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Chapter title
Building a Semantic Ontology for Virtual Peers in Narrative-Based Environments
Chapter number 6
Book title
Trends in Artificial Intelligence: PRICAI 2016 Workshops
Published by
Springer, Cham, August 2016
DOI 10.1007/978-3-319-60675-0_6
Book ISBNs
978-3-31-960674-3, 978-3-31-960675-0
Authors

Ethel Chua Joy Ong, Danielle Grace Consignado, Sabrina Jane Ong, Zhayne Chong Soriano

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 > Bachelor 2 33%
Other 1 17%
Student > Postgraduate 1 17%
Unknown 2 33%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 17%
Social Sciences 1 17%
Chemistry 1 17%
Engineering 1 17%
Unknown 2 33%