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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
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    Chapter 27 Machine Learning Driven Heart Rate Detection with Camera Photoplethysmography in Time Domain
Attention for Chapter 15: Comparing Incremental Learning Strategies for Convolutional Neural Networks
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
47 Mendeley
Summary Blogs Dimensions citations
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Chapter title
Comparing Incremental Learning Strategies for Convolutional Neural Networks
Chapter number 15
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_15
Book ISBNs
978-3-31-946181-6, 978-3-31-946182-3
Authors

Vincenzo Lomonaco, Davide Maltoni, Lomonaco, Vincenzo, Maltoni, Davide

Editors

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

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 30%
Student > Master 8 17%
Researcher 3 6%
Professor > Associate Professor 3 6%
Professor 2 4%
Other 7 15%
Unknown 10 21%
Readers by discipline Count As %
Computer Science 21 45%
Engineering 8 17%
Biochemistry, Genetics and Molecular Biology 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Sports and Recreations 1 2%
Other 3 6%
Unknown 11 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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
#5,832,779
of 23,230,825 outputs
Outputs from Lecture notes in computer science
#1,860
of 8,155 outputs
Outputs of similar age
#89,085
of 331,093 outputs
Outputs of similar age from Lecture notes in computer science
#114
of 510 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 8,155 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 well, scoring higher than 77% 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 331,093 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 510 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.

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