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Intelligent Data Engineering and Automated Learning – IDEAL 2019

Overview of attention for book
Cover of 'Intelligent Data Engineering and Automated Learning – IDEAL 2019'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Computational Generalization in Taxonomies Applied to: (1) Analyze Tendencies of Research and (2) Extend User Audiences
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    Chapter 2 Unsupervised Initialization of Archetypal Analysis and Proportional Membership Fuzzy Clustering
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    Chapter 3 Multimodal Web Based Video Annotator with Real-Time Human Pose Estimation
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    Chapter 4 New Interfaces for Classifying Performance Gestures in Music
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    Chapter 5 Classifying Ransomware Using Machine Learning Algorithms
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    Chapter 6 Artificial Neural Networks in Mathematical Mini-Games for Automatic Students’ Learning Styles Identification: A First Approach
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    Chapter 7 The Use of Unified Activity Records to Predict Requests Made by Applications for External Services
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    Chapter 8 Fuzzy Clustering Approach to Data Selection for Computer Usage in Headache Disorders
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    Chapter 9 Multitemporal Aerial Image Registration Using Semantic Features
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    Chapter 10 Brain Tumor Classification Using Principal Component Analysis and Kernel Support Vector Machine
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    Chapter 11 Modelling Survival by Machine Learning Methods in Liver Transplantation: Application to the UNOS Dataset
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    Chapter 12 Design and Development of an Automatic Blood Detection System for Capsule Endoscopy Images
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    Chapter 13 Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis
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    Chapter 14 A Clustering-Based Patient Grouper for Burn Care
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    Chapter 15 A Comparative Assessment of Feed-Forward and Convolutional Neural Networks for the Classification of Prostate Lesions
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    Chapter 16 A Method Based on Filter Bank Common Spatial Pattern for Multiclass Motor Imagery BCI
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    Chapter 17 Safe Deep Neural Network-Driven Autonomous Vehicles Using Software Safety Cages
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    Chapter 18 Wave and Viscous Resistance Estimation by NN
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    Chapter 19 Neural Controller of UAVs with Inertia Variations
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    Chapter 20 A Metric Framework for Quantifying Data Concentration
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    Chapter 21 Adaptive Machine Learning-Based Stock Prediction Using Financial Time Series Technical Indicators
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    Chapter 22 Exploiting Online Newspaper Articles Metadata for Profiling City Areas
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    Chapter 23 Modelling the Social Interactions in Ant Colony Optimization
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    Chapter 24 An Innovative Deep-Learning Algorithm for Supporting the Approximate Classification of Workloads in Big Data Environments
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    Chapter 25 Control-Flow Business Process Summarization via Activity Contraction
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    Chapter 26 Classifying Flies Based on Reconstructed Audio Signals
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    Chapter 27 Studying the Evolution of the ‘Circular Economy’ Concept Using Topic Modelling
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    Chapter 28 Mining Frequent Distributions in Time Series
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    Chapter 29 Time Series Display for Knowledge Discovery on Selective Laser Melting Machines
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    Chapter 30 Using Prior Knowledge to Facilitate Computational Reading of Arabic Calligraphy
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    Chapter 31 SMOTE Algorithm Variations in Balancing Data Streams
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    Chapter 32 Multi-class Text Complexity Evaluation via Deep Neural Networks
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    Chapter 33 Imbalance Reduction Techniques Applied to ECG Classification Problem
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    Chapter 34 Machine Learning Methods for Fake News Classification
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    Chapter 35 A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification
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    Chapter 36 The Feasibility of Deep Learning Use for Adversarial Model Extraction in the Cybersecurity Domain
Attention for Chapter 4: New Interfaces for Classifying Performance Gestures in Music
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
10 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
8 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
New Interfaces for Classifying Performance Gestures in Music
Chapter number 4
Book title
Lecture Notes in Computer Science
Published in
Lecture notes in computer science, October 2019
DOI 10.1007/978-3-030-33617-2_4
Book ISBNs
978-3-03-033616-5, 978-3-03-033617-2
Authors

Chris Rhodes, Richard Allmendinger, Ricardo Climent, Christopher Rhodes, Rhodes, Chris, Allmendinger, Richard, Climent, Ricardo

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 25%
Student > Master 1 13%
Student > Ph. D. Student 1 13%
Student > Doctoral Student 1 13%
Unknown 3 38%
Readers by discipline Count As %
Engineering 3 38%
Arts and Humanities 1 13%
Design 1 13%
Unknown 3 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 November 2020.
All research outputs
#2,229,250
of 23,172,045 outputs
Outputs from Lecture notes in computer science
#433
of 8,151 outputs
Outputs of similar age
#49,783
of 356,614 outputs
Outputs of similar age from Lecture notes in computer science
#1
of 22 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 356,614 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.