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Machine Learning and Metaheuristics Algorithms, and Applications

Overview of attention for book
Cover of 'Machine Learning and Metaheuristics Algorithms, and Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Learning 3DMM Deformation Coefficients for Action Unit Detection
  3. Altmetric Badge
    Chapter 2 Smart Security and Surveillance System in Laboratories Using Machine Learning
  4. Altmetric Badge
    Chapter 3 Deep Neural Networks with Multi-class SVM for Recognition of Cross-Spectral Iris Images
  5. Altmetric Badge
    Chapter 4 Gaze Fusion-Deep Neural Network Model for Glaucoma Detection
  6. Altmetric Badge
    Chapter 5 Deep Learning Based Stable and Unstable Candle Flame Detection
  7. Altmetric Badge
    Chapter 6 Emotion Recognition from Facial Expressions Using Siamese Network
  8. Altmetric Badge
    Chapter 7 Activity Modeling of Individuals in Domestic Households Using Fuzzy Logic
  9. Altmetric Badge
    Chapter 8 Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models
  10. Altmetric Badge
    Chapter 9 An Improved Salp Swarm Algorithm Based on Adaptive $$\upbeta $$ β -Hill Climbing for Stock Market Prediction
  11. Altmetric Badge
    Chapter 10 Data Driven Methods for Finding Pattern Anomalies in Food Safety
  12. Altmetric Badge
    Chapter 11 Exam Seating Allocation to Prevent Malpractice Using Genetic Multi-optimization Algorithm
  13. Altmetric Badge
    Chapter 12 Big Data: Does BIG Matter for Your Business?
  14. Altmetric Badge
    Chapter 13 Modelling Energy Consumption of Domestic Households via Supervised and Unsupervised Learning: A Case Study
  15. Altmetric Badge
    Chapter 14 Machine Learning and Soft Computing Techniques for Combustion System Diagnostics and Monitoring: A Survey
  16. Altmetric Badge
    Chapter 15 Traffic Sign Classification Using ODENet
  17. Altmetric Badge
    Chapter 16 Analysis of UNSW-NB15 Dataset Using Machine Learning Classifiers
  18. Altmetric Badge
    Chapter 17 Concept Drift Detection in Phishing Using Autoencoders
  19. Altmetric Badge
    Chapter 18 Detection of Obfuscated Mobile Malware with Machine Learning and Deep Learning Models
  20. Altmetric Badge
    Chapter 19 CybSecMLC: A Comparative Analysis on Cyber Security Intrusion Detection Using Machine Learning Classifiers
Attention for Chapter 17: Concept Drift Detection in Phishing Using Autoencoders
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
9 Mendeley
Summary Patents Dimensions citations
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Chapter title
Concept Drift Detection in Phishing Using Autoencoders
Chapter number 17
Book title
Machine Learning and Metaheuristics Algorithms, and Applications
Published in
Communications in Computer and Information Science, January 2021
DOI 10.1007/978-981-16-0419-5_17
Book ISBNs
978-9-81-160418-8, 978-9-81-160419-5
Authors

Menon, Aditya Gopal, Gressel, Gilad

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Student > Doctoral Student 2 22%
Student > Bachelor 1 11%
Unspecified 1 11%
Unknown 2 22%
Readers by discipline Count As %
Computer Science 4 44%
Unspecified 1 11%
Agricultural and Biological Sciences 1 11%
Unknown 3 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 December 2023.
All research outputs
#8,785,110
of 25,992,468 outputs
Outputs from Communications in Computer and Information Science
#1
of 1 outputs
Outputs of similar age
#207,304
of 531,752 outputs
Outputs of similar age from Communications in Computer and Information Science
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 3.0. This one scored the same or higher as 0 of them.
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 531,752 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 54% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them

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