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Advances in Neural Networks

Overview of attention for book
Cover of 'Advances in Neural Networks'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Some Notes on Computational and Theoretical Issues in Artificial Intelligence and Machine Learning
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    Chapter 2 Semi-automatic Brain Lesion Segmentation in Gamma Knife Treatments Using an Unsupervised Fuzzy C-Means Clustering Technique
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    Chapter 3 Machine Learning Based Data Mining for Milky Way Filamentary Structures Reconstruction
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    Chapter 4 3-D Hand Pose Estimation from Kinect’s Point Cloud Using Appearance Matching
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    Chapter 5 Frequency-Domain Adaptive Filtering in Hypercomplex Systems
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    Chapter 6 Bayesian Clustering on Images with Factor Graphs in Reduced Normal Form
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    Chapter 7 Selection of Negative Examples for Node Label Prediction Through Fuzzy Clustering Techniques
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    Chapter 8 Recent Advances on Distributed Unsupervised Learning
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    Chapter 9 A Rule Based Recommender System
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    Chapter 10 Learning from Nowhere
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    Chapter 11 Model Complexity Control in Clustering
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    Chapter 12 Using Neural Networks for the Recognition of Specific Motion Symptoms of the Parkinson’s Disease
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    Chapter 13 Benchmarking Functional Link Expansions for Audio Classification Tasks
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    Chapter 14 A Comparison of Consensus Strategies for Distributed Learning of Random Vector Functional-Link Networks
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    Chapter 15 Spatial-Temporal Entangled Sparse Distributed Storage (STE-SDS) and Sparse Distributed Code (SDC) in the Systolic Hebb Agnostic Resonance Perceptron (SHARP) Proposed as Hypothetical Model Linking Mini and Macro-Column Scale Functionality in the Cerebral Cortex
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    Chapter 16 Łukasiewicz Equivalent Neural Networks
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    Chapter 17 A Bayesian-Based Neural Network Model for Solar Photovoltaic Power Forecasting
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    Chapter 18 Strict Pyramidal Deep Architectures for Person Re-identification
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    Chapter 19 A Pilot Study on the Decoding of Dynamic Emotional Expressions in Major Depressive Disorder
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    Chapter 20 Advances in a Multimodal Approach for Dysphagia Analysis Based on Automatic Voice Analysis
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    Chapter 21 Improving Functional Link Neural Network Learning Scheme for Mammographic Classification
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    Chapter 22 Quantifying the Complexity of Epileptic EEG
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    Chapter 23 What Relatives and Caregivers of Children with Type 1 Diabetes Talk About: Preliminary Results from a Computerized Text Analysis of Messages Posted on the Italian Facebook Diabetes Group
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    Chapter 24 A New ICT Based Model for Wellness and Health Care
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    Chapter 25 The Implicit and Explicit Attitudes Predict Electoral Decision-Making in 2008 Italian Political Campaign
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    Chapter 26 Internet Dependence in High School Student
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    Chapter 27 Universal Matched-Filter Template Versus Individualized Template for Single Trial Detection of Movement Intentions of Different Tasks
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    Chapter 28 Sparse fNIRS Feature Estimation via Unsupervised Learning for Mental Workload Classification
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    Chapter 29 Analyzing Correlations Between Personality Disorders and Frontal Functions: A Pilot Study
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    Chapter 30 Processing Bio-medical Data with Class-Dependent Feature Selection
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    Chapter 31 LQR Based Training of Adaptive Neuro-Fuzzy Controller
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    Chapter 32 Structured Versus Shuffled Connectivity in Cortical Dynamics
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    Chapter 33 Machine Learning Techniques for the Estimation of Particle Size Distribution in Industrial Plants
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    Chapter 34 Combining Multiple Neural Networks to Predict Bronze Alloy Elemental Composition
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    Chapter 35 Neuro-Fuzzy Techniques and Industry: Acceptability, Advantages and Perspectives
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    Chapter 36 The Importance of Variable Selection for Neural Networks-Based Classification in an Industrial Context
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    Chapter 37 Non Linear Time Series Analysis of Air Pollutants with Missing Data
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    Chapter 38 Making Intelligent the Embedded Systems Through Cognitive Outlier and Fault Detection
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    Chapter 39 A Study on the Moral Implications of Human Disgust-Related Emotions Detected Using EEG-Based BCI Devices
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    Chapter 40 Learning Hardware Friendly Classifiers Through Algorithmic Risk Minimization
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    Chapter 41 A Hidden Markov Model-Based Approach to Grasping Hand Gestures Classification
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    Chapter 42 A Low Cost ECG Biometry System Based on an Ensemble of Support Vector Machine Classifiers
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    Chapter 43 A Regenerative Approach to Dynamically Design the Forward Kinematics for an Industrial Reconfigurable Anthropomorphic Robotic Arm
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    Chapter 44 An ANN Based Decision Support System Fostering Production Plan Optimization Through Preventive Maintenance Management
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    Chapter 45 Gaussian Beam Optics Model for Multi-emitter Laser Diode Module Configuration Design
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    Chapter 46 Flexible Automated Island for (Dis) Assembly of a Variety of Silicon Solar Cell Geometries for Specialist Solar Products
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    Chapter 47 Analysis of Production Scenario and KPI Calculation: Monitoring and Optimization Logics of White’R Island
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    Chapter 48 Standardization and Green Labelling Procedure Methodology Developed for the Achievement of an Eco-Label for White’R Island
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    Chapter 49 A Novel Hybrid Fuzzy Multi-objective Linear Programming Method of Aggregate Production Planning
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    Chapter 50 A Production Scheduling Algorithm for a Distributed Mini Factories Network Model
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    Chapter 51 A Multi-horizon, Multi-objective Training Planner: Building the Skills for Manufacturing
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    Chapter 52 Use of Laser Scanners in Machine Tools to Implement Freeform Parts Machining and Quality Control
Overall attention for this book and its chapters
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
59 Mendeley
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
Advances in Neural Networks
Published by
arXiv, May 2015
DOI 10.1007/978-3-319-33747-0
ISBNs
978-3-31-933746-3, 978-3-31-933747-0
Authors

Giuseppe Riccio, Stefano Cavuoti, Eugenio Schisano, Massimo Brescia, Amata Mercurio, Davide Elia, Milena Benedettini, Stefano Pezzuto, Sergio Molinari, Anna Maria Di Giorgio

Editors

Bassis, Simone, Esposito, Anna, Morabito, Francesco Carlo, Pasero, Eros

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 58 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 10%
Student > Ph. D. Student 5 8%
Student > Doctoral Student 3 5%
Researcher 3 5%
Student > Bachelor 2 3%
Other 2 3%
Unknown 38 64%
Readers by discipline Count As %
Engineering 8 14%
Computer Science 5 8%
Physics and Astronomy 2 3%
Business, Management and Accounting 1 2%
Mathematics 1 2%
Other 3 5%
Unknown 39 66%

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 12 October 2016.
All research outputs
#7,634,039
of 14,568,111 outputs
Outputs from arXiv
#122,599
of 571,943 outputs
Outputs of similar age
#88,927
of 234,889 outputs
Outputs of similar age from arXiv
#1,724
of 12,986 outputs
Altmetric has tracked 14,568,111 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 571,943 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 78% 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 234,889 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 61% of its contemporaries.
We're also able to compare this research output to 12,986 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.