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Multi-disciplinary Trends in Artificial Intelligence

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Cover of 'Multi-disciplinary Trends in Artificial Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Inference and Learning in Probabilistic Argumentation
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    Chapter 2 Spatial Problem Solving in Spatial Structures
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    Chapter 3 Transfer Learning-Based Case Base Preparation for a Case-Based Reasoning-Based Decision Making Support Model in the Educational Domain
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    Chapter 4 Multi-level Search of a Knowledgebase for Semantic Parsing
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    Chapter 5 Design of a Cloud Brokerage Architecture Using Fuzzy Rough Set Technique
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    Chapter 6 Generating Tutorial Interventions for Teaching Situation Awareness in Dental Surgery – Preliminary Report
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    Chapter 7 Validation of Machine Learning Classifiers Using Metamorphic Testing and Feature Selection Techniques
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    Chapter 8 Packer Identification Using Hidden Markov Model
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    Chapter 9 AIC-Driven Spatial Hierarchical Clustering: Case Study for Malaria Prediction in Northern Thailand
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    Chapter 10 Multivariate Time Series Clustering Analysis for Human Balance Data
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    Chapter 11 Analysis of District-Level Monsoon Rainfall Patterns in India: A Pilot Study
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    Chapter 12 Facial Expression Recognition Using a Hybrid CNN–SIFT Aggregator
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    Chapter 13 Visual-Only Word Boundary Detection
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    Chapter 14 Combination of Domain Knowledge and Deep Learning for Sentiment Analysis
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    Chapter 15 Hierarchical Attention Network with XGBoost for Recognizing Insufficiently Supported Argument
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    Chapter 16 Speed Invariant Bearing Fault Characterization Using Convolutional Neural Networks
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    Chapter 17 Neural Network Control Method for Mobile Robot Trajectory Tracking
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    Chapter 18 What Does a Policy Network Learn After Mastering a Pong Game?
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    Chapter 19 Minimally-Supervised Sentiment Lexicon Induction Model: A Case Study of Malay Sentiment Analysis
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    Chapter 20 Analysis of the Reforming Languages by Image-Based Variations of LBP and NBP Operators
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    Chapter 21 Usability Analysis of the Image and Interactive CAPTCHA via Prediction of the Response Time
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    Chapter 22 Generating Children’s Stories from Character and Event Models
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    Chapter 23 Text Dimensionality Reduction for Document Clustering Using Hybrid Memetic Feature Selection
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    Chapter 24 Location-Based Services for Surrounding Area with Myanmar Language on Mobile Devices
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    Chapter 25 Processing and Monitoring Algorithm for Solar-Powered Smart Home in DC-Environment System Based on RF-Radio Node
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    Chapter 26 GuARD: A Real-Time System for Detecting Aggressive Human Behavior in Cage Environment
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    Chapter 27 DREAD-R: Severity Assessment of ONOS SDN Controller
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    Chapter 28 Formal Specifications and Analysis of an Agent-Based Model for Cognitive Aspects of Fear of Crime
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    Chapter 29 An Anytime Algorithm for Scheduling Tasks for Multiagent Systems
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    Chapter 30 Hybrid Model with Margin-Based Real-Time Face Detection and Tracking
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    Chapter 31 Smart LED Street Light Systems: A Bruneian Case Study
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    Chapter 32 Optimal Route Assessment for Emergency Vehicles Travelling on Complex Road Network
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    Chapter 33 Pasang Emas: An AI Implementation of Brunei’s Ancient Traditional Game
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    Chapter 34 Swap-Based Discrete Firefly Algorithm for Traveling Salesman Problem
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    Chapter 35 An Efficient New Memetic Method for the Traveling Salesman Problem with Time Windows
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    Chapter 36 A Novel Approach of Set-Based Particle Swarm Optimization with Memory State
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    Chapter 37 A Spy Search Mechanism (SSM) for Memetic Algorithm (MA) in Dynamic Environments
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    Chapter 38 Hybrid Simulated Annealing for the Bi-objective Quadratic Assignment Problem
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    Chapter 39 Solving the Manufacturing Cell Design Problem Using the Artificial Bee Colony Algorithm
  41. Altmetric Badge
    Chapter 40 Evolving 3D Models Using Interactive Genetic Algorithms and L-Systems
Attention for Chapter 12: Facial Expression Recognition Using a Hybrid CNN–SIFT Aggregator
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

14 X users
2 Facebook pages
1 Google+ user
2 Redditors


6 Dimensions

Readers on

121 Mendeley
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Chapter title
Facial Expression Recognition Using a Hybrid CNN–SIFT Aggregator
Chapter number 12
Book title
Multi-disciplinary Trends in Artificial Intelligence
Published in
arXiv, November 2017
DOI 10.1007/978-3-319-69456-6_12
Book ISBNs
978-3-31-969455-9, 978-3-31-969456-6

Mundher Ahmed Al-Shabi, Wooi Ping Cheah, Tee Connie, Mundher Al-Shabi, Michael Goh, Connie, Tee, Al-Shabi, Mundher, Cheah, Wooi Ping, Goh, Michael

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 121 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 18%
Student > Master 16 13%
Student > Bachelor 16 13%
Student > Postgraduate 5 4%
Student > Doctoral Student 4 3%
Other 17 14%
Unknown 41 34%
Readers by discipline Count As %
Computer Science 55 45%
Engineering 17 14%
Unspecified 1 <1%
Linguistics 1 <1%
Mathematics 1 <1%
Other 2 2%
Unknown 44 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 June 2020.
All research outputs
of 25,214,112 outputs
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Outputs of similar age
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Outputs of similar age from arXiv
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Altmetric has tracked 25,214,112 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,027,436 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 93% 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 450,384 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 83% of its contemporaries.
We're also able to compare this research output to 19,783 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 93% of its contemporaries.