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Advances in Data Science: Methodologies and Applications

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Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Big Data and Data Science: Methods and Applications
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    Chapter 2 Towards Abnormal Behavior Detection of Elderly People Using Big Data
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    Chapter 3 A Survey on Automatic Multimodal Emotion Recognition in the Wild
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    Chapter 4 “Speech Melody and Speech Content Didn’t Fit Together”—Differences in Speech Behavior for Device Directed and Human Directed Interactions
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    Chapter 5 Methods for Optimizing Fuzzy Inference Systems
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    Chapter 6 The Dark Side of Rationality. Does Universal Moral Grammar Exist?
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    Chapter 7 A New Unsupervised Neural Approach to Stationary and Non-stationary Data
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    Chapter 8 Fall Risk Assessment Using New sEMG-Based Smart Socks
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    Chapter 9 Describing Smart City Problems with Distributed Vulnerability
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    Chapter 10 Feature Set Ensembles for Sentiment Analysis of Tweets
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    Chapter 11 Supporting Data Science in Automotive and Robotics Applications with Advanced Visual Big Data Analytics
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    Chapter 12 Classification of Pilot Attentional Behavior Using Ocular Measures
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    Chapter 13 Audio Content-Based Framework for Emotional Music Recognition
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    Chapter 14 Neuro-Kernel-Machine Network Utilizing Deep Learning and Its Application in Predictive Analytics in Smart City Energy Consumption
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    Chapter 15 Learning Approaches for Facial Expression Recognition in Ageing Adults: A Comparative Study
Attention for Chapter 3: A Survey on Automatic Multimodal Emotion Recognition in the Wild
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Citations

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18 Mendeley
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Chapter title
A Survey on Automatic Multimodal Emotion Recognition in the Wild
Chapter number 3
Book title
Advances in Data Science: Methodologies and Applications
Published by
Springer, Cham, January 2021
DOI 10.1007/978-3-030-51870-7_3
Book ISBNs
978-3-03-051869-1, 978-3-03-051870-7
Authors

Garima Sharma, Abhinav Dhall, Sharma, Garima, Dhall, Abhinav

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 2 11%
Lecturer 2 11%
Student > Doctoral Student 1 6%
Student > Ph. D. Student 1 6%
Researcher 1 6%
Other 0 0%
Unknown 11 61%
Readers by discipline Count As %
Computer Science 6 33%
Linguistics 1 6%
Psychology 1 6%
Unknown 10 56%