↓ Skip to main content
What is this page? Embed badge

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

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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog
twitter
13 X users
facebook
1 Facebook page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
16 Mendeley
Summary Blogs X Facebook Dimensions citations
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.
Title
Artificial Neural Networks in Pattern Recognition
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-46182-3
ISBNs
978-3-31-946181-6, 978-3-31-946182-3
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 profiles of 13 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 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 %
Researcher 2 13%
Professor > Associate Professor 2 13%
Student > Ph. D. Student 2 13%
Other 1 6%
Student > Bachelor 1 6%
Other 2 13%
Unknown 6 38%
Readers by discipline Count As %
Computer Science 7 44%
Engineering 2 13%
Unknown 7 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 01 March 2022.
All research outputs
#2,253,174
of 24,049,457 outputs
Outputs from Lecture notes in computer science
#417
of 8,180 outputs
Outputs of similar age
#39,270
of 401,671 outputs
Outputs of similar age from Lecture notes in computer science
#91
of 582 outputs
Altmetric has tracked 24,049,457 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 8,180 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. 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 401,671 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 582 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.

This page is provided by Altmetric.