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Development and Analysis of Deep Learning Architectures

Overview of attention for book
Cover of 'Development and Analysis of Deep Learning Architectures'

Table of Contents

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    Book Overview
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    Chapter 1 Direct Error Driven Learning for Classification in Applications Generating Big-Data
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    Chapter 2 Deep Learning for Soft Sensor Design
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    Chapter 3 Case Study: Deep Convolutional Networks in Healthcare
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    Chapter 4 Deep Domain Adaptation for Regression
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    Chapter 5 Deep Learning-Based Pedestrian Detection for Automated Driving: Achievements and Future Challenges
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    Chapter 6 Deep Learning in Speaker Recognition
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    Chapter 7 Baby Cry Detection: Deep Learning and Classical Approaches
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    Chapter 8 Securing Industrial Control Systems from False Data Injection Attacks with Convolutional Neural Networks
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    Chapter 9 Deep Learning for Wireless Communications
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    Chapter 10 Identifying Extremism in Text Using Deep Learning
Attention for Chapter 6: Deep Learning in Speaker Recognition
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Citations

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9 Dimensions

Readers on

mendeley
4 Mendeley
Summary Dimensions citations
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Chapter title
Deep Learning in Speaker Recognition
Chapter number 6
Book title
Development and Analysis of Deep Learning Architectures
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-31764-5_6
Book ISBNs
978-3-03-031763-8, 978-3-03-031764-5
Authors

Omid Ghahabi, Pooyan Safari, Javier Hernando

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 50%
Other 1 25%
Student > Bachelor 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Materials Science 1 25%
Engineering 1 25%

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