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Applied Intelligence and Informatics

Overview of attention for book
Cover of 'Applied Intelligence and Informatics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 A Hybrid Speed and Radial Distance Feature Descriptor Using Optical Flow Approach in HAR
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    Chapter 2 Innovative Soft Computing Techniques for the Evaluation of the Mechanical Stress State of Steel Plates
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    Chapter 3 An Indirect Approach to Forecast Produced Power on Photovoltaic Plants Under Uneven Shading Conditions
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    Chapter 4 An FPGA-Based Hardware Accelerator for the k-Nearest Neighbor Algorithm Implementation in Wearable Embedded Systems
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    Chapter 5 Designing Low-Power and High-Speed FPGA-Based Binary Decision Tree Hardware Accelerators
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    Chapter 6 MEMS and AI for the Recognition of Human Activities on IoT Platforms
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    Chapter 7 Tackling the Linear Sum Assignment Problem with Graph Neural Networks
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    Chapter 8 A Nonparametric Model for Forecasting Life Expectancy at Birth Using Gaussian Process
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    Chapter 9 Optimized Layout: A Genetic Algorithm for Industrial and Business Application
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    Chapter 10 Explainable Deep Learning for Alzheimer Disease Classification and Localisation
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    Chapter 11 ML-Based Radiomics Analysis for Breast Cancer Classification in DCE-MRI
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    Chapter 12 Decoding Motor Preparation Through a Deep Learning Approach Based on EEG Time-Frequency Maps
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    Chapter 13 A Novel Fuzzy Semi-supervised Learning Approach for the Classification of Colorectal Cancer (FSSL-CRCC)
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    Chapter 14 Machine Learning Models to Analyze the Effect of Drugs on Neonatal-ICU Length of Stay
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    Chapter 15 i ConDet2: An Improved Conjunctivitis Detection Portable Healthcare App Powered by Artificial Intelligence
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    Chapter 16 Ensemble Classifiers for a 4-Way Classification of Alzheimer’s Disease
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    Chapter 17 Identification of Crown and Rump in First-Trimester Ultrasound Images Using Deep Convolutional Neural Network
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    Chapter 18 A Pyramidal Approach for Emotion Recognition from EEG Signals
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    Chapter 19 Evaluation of Galvanic Skin Response (GSR) Signals Features for Emotion Recognition
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    Chapter 20 A Privacy-Preserving Federated-MobileNet for Facial Expression Detection from Images
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    Chapter 21 Television Programs Classification via Deep Learning Approach Using SSMI-CNN
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    Chapter 22 A Hybrid Deep Learning System to Detect Face-Mask and Monitor Social Distance
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    Chapter 23 Handwriting and Drawing for Depression Detection: A Preliminary Study
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    Chapter 24 Identifying Synthetic Voices’ Qualities for Conversational Agents
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    Chapter 25 Identifying Colluding Actors in Social Communities by Reputation Measures
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    Chapter 26 Weakly Supervised Transfer Learning for Multi-label Appliance Classification
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    Chapter 27 Toward an Interoperable Catalogue of Multimodal Depression-Related Data
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    Chapter 28 Explainable Deep Learning Classification of Respiratory Sound for Telemedicine Applications
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    Chapter 29 Nonexclusive Classification of Household Appliances by Fuzzy Deep Neural Networks
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    Chapter 30 Applied Enhanced Q-NAS for COVID-19 Detection in CT Images
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    Chapter 31 Beware the Sirens: Prototyping an Emergency Vehicle Detection System for Smart Cars
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    Chapter 32 Indoor Positioning and Navigation Using Bluetooth Low Energy and Cloud Service in Healthcare Perspective
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    Chapter 33 Science Parks Externalities on Financial Performance of Small Firms Through Business Intelligence Tools
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    Chapter 34 A Novel Approach to Identifying DDoS Traffic in the Smart Home Network via Exploratory Data Analysis
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    Chapter 35 A Novel Framework to Detect Anomalous Nodes to Secure Wireless Sensor Networks
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    Chapter 36 A Graph-Based Approach to Detect Anomalies Based on Shared Attribute Values
Attention for Chapter 23: Handwriting and Drawing for Depression Detection: A Preliminary Study
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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Chapter title
Handwriting and Drawing for Depression Detection: A Preliminary Study
Chapter number 23
Book title
Applied Intelligence and Informatics
Published in
arXiv, February 2023
DOI 10.1007/978-3-031-24801-6_23
Book ISBNs
978-3-03-124800-9, 978-3-03-124801-6
Authors

Gennaro Raimo, Michele Buonanno, Massimiliano Conson, Gennaro Cordasco, Marcos Faundez-Zanuy, Stefano Marrone, Fiammetta Marulli, Alessandro Vinciarelli, Anna Esposito, Raimo, Gennaro, Buonanno, Michele, Conson, Massimiliano, Cordasco, Gennaro, Faundez-Zanuy, Marcos, McConvey, Gavin, Marrone, Stefano, Marulli, Fiammetta, Vinciarelli, Alessandro, Esposito, Anna

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 33%
Unknown 2 67%
Readers by discipline Count As %
Engineering 1 33%
Unknown 2 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 February 2023.
All research outputs
#14,673,649
of 23,485,296 outputs
Outputs from arXiv
#293,646
of 970,847 outputs
Outputs of similar age
#187,169
of 418,631 outputs
Outputs of similar age from arXiv
#9,977
of 38,482 outputs
Altmetric has tracked 23,485,296 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 970,847 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 65% 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 418,631 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 52% of its contemporaries.
We're also able to compare this research output to 38,482 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.