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Artificial Neural Networks in Pattern Recognition

Overview of attention for book
Cover of 'Artificial Neural Networks in Pattern Recognition'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Learning Sequential Data with the Help of Linear Systems
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    Chapter 2 A Spiking Neural Network for Personalised Modelling of Electrogastrography (EGG)
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    Chapter 3 Improving Generalization Abilities of Maximal Average Margin Classifiers
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    Chapter 4 Finding Small Sets of Random Fourier Features for Shift-Invariant Kernel Approximation
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    Chapter 5 Incremental Construction of Low-Dimensional Data Representations
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    Chapter 6 Soft-Constrained Nonparametric Density Estimation with Artificial Neural Networks
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    Chapter 7 Density Based Clustering via Dominant Sets
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    Chapter 8 Co-training with Credal Models
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    Chapter 9 Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class Categorization
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    Chapter 10 On the Evaluation of Tensor-Based Representations for Optimum-Path Forest Classification
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    Chapter 11 On the Harmony Search Using Quaternions
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    Chapter 12 Learning Parameters in Deep Belief Networks Through Firefly Algorithm
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    Chapter 13 Towards Effective Classification of Imbalanced Data with Convolutional Neural Networks
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    Chapter 14 On CPU Performance Optimization of Restricted Boltzmann Machine and Convolutional RBM
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    Chapter 15 Comparing Incremental Learning Strategies for Convolutional Neural Networks
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    Chapter 16 Approximation of Graph Edit Distance by Means of a Utility Matrix
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    Chapter 17 Time Series Classification in Reservoir- and Model-Space: A Comparison
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    Chapter 18 Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks
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    Chapter 19 Background Categorization for Automatic Animal Detection in Aerial Videos Using Neural Networks
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    Chapter 20 Predictive Segmentation Using Multichannel Neural Networks in Arabic OCR System
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    Chapter 21 Quad-Tree Based Image Segmentation and Feature Extraction to Recognize Online Handwritten Bangla Characters
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    Chapter 22 A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical Model Predictor of the Disulfide Bonding State of Cysteines from the Primary Structure of Proteins
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    Chapter 23 Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological Signals
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    Chapter 24 Active Learning for Speech Event Detection in HCI
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    Chapter 25 Emotion Recognition in Speech with Deep Learning Architectures
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    Chapter 26 On Gestures and Postural Behavior as a Modality in Ensemble Methods
  28. Altmetric Badge
    Chapter 27 Machine Learning Driven Heart Rate Detection with Camera Photoplethysmography in Time Domain
Attention for Chapter 25: Emotion Recognition in Speech with Deep Learning Architectures
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Mentioned by

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1 X user

Citations

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Readers on

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16 Mendeley
Summary X Dimensions citations
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Chapter title
Emotion Recognition in Speech with Deep Learning Architectures
Chapter number 25
Book title
Artificial Neural Networks in Pattern Recognition
Published in
Lecture notes in computer science, September 2016
DOI 10.1007/978-3-319-46182-3_25
Book ISBNs
978-3-31-946181-6, 978-3-31-946182-3
Authors

Mehmet Erdal, Markus Kächele, Friedhelm Schwenker

Editors

Friedhelm Schwenker, Hazem M. Abbas, Neamat El Gayar, Edmondo Trentin

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 19%
Student > Ph. D. Student 3 19%
Student > Master 3 19%
Professor 1 6%
Lecturer 1 6%
Other 1 6%
Unknown 4 25%
Readers by discipline Count As %
Computer Science 6 38%
Engineering 5 31%
Social Sciences 1 6%
Unknown 4 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 June 2017.
All research outputs
#15,384,302
of 22,888,307 outputs
Outputs from Lecture notes in computer science
#4,648
of 8,127 outputs
Outputs of similar age
#209,983
of 330,063 outputs
Outputs of similar age from Lecture notes in computer science
#279
of 505 outputs
Altmetric has tracked 22,888,307 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 330,063 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 505 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.

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