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Advanced Analytics and Learning on Temporal Data

Overview of attention for book
Cover of 'Advanced Analytics and Learning on Temporal Data'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Adjustable Context-Aware Transformer
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    Chapter 2 Clustering of Time Series Based on Forecasting Performance of Global Models
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    Chapter 3 Experimental Study of Time Series Forecasting Methods for Groundwater Level Prediction
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    Chapter 4 Fast Time Series Classification with Random Symbolic Subsequences
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    Chapter 5 RESIST: Robust Transformer for Unsupervised Time Series Anomaly Detection
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    Chapter 6 Window Size Selection in Unsupervised Time Series Analytics: A Review and Benchmark
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    Chapter 7 Application of Attention Mechanism Combined with Long Short-Term Memory for Forecasting Dissolved Oxygen in Ganga River
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    Chapter 8 Data Augmentation for Time Series Classification with Deep Learning Models
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    Chapter 9 Dimension Selection Strategies for Multivariate Time Series Classification with HIVE-COTEv2.0
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    Chapter 10 EDGAR: Embedded Detection of Gunshots by AI in Real-time
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    Chapter 11 Identification of the Best Accelerometer Features and Time-Scale to Detect Disturbances in Calves
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    Chapter 12 ODIN AD: A Framework Supporting the Life-Cycle of Time Series Anomaly Detection Applications
Attention for Chapter 8: Data Augmentation for Time Series Classification with Deep Learning Models
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Readers on

mendeley
12 Mendeley
Summary
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Chapter title
Data Augmentation for Time Series Classification with Deep Learning Models
Chapter number 8
Book title
Advanced Analytics and Learning on Temporal Data
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-24378-3_8
Book ISBNs
978-3-03-124377-6, 978-3-03-124378-3
Authors

Pialla, Gautier, Devanne, Maxime, Weber, Jonathan, Idoumghar, Lhassane, Forestier, Germain

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 17%
Researcher 1 8%
Student > Doctoral Student 1 8%
Student > Master 1 8%
Unknown 7 58%
Readers by discipline Count As %
Computer Science 2 17%
Engineering 2 17%
Economics, Econometrics and Finance 1 8%
Unknown 7 58%

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