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Advances in Computational Intelligence

Overview of attention for book
Cover of 'Advances in Computational Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Error-Correcting Output Codes in the Framework of Deep Ordinal Classification
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    Chapter 2 Features as Keypoints and How Fuzzy Transforms Retrieve Them
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    Chapter 3 Instagram Hashtag Prediction Using Deep Neural Networks
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    Chapter 4 Temporal EigenPAC for Dyslexia Diagnosis
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    Chapter 5 Autonomous Driving of a Rover-Like Robot Using Neuromorphic Computing
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    Chapter 6 Effects of Training on BCI Accuracy in SSMVEP-based BCI
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    Chapter 7 Effect of Electrical Synapses in the Cycle-by-Cycle Period and Burst Duration of Central Pattern Generators
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    Chapter 8 Operation of Neuronal Membrane Simulator Circuit for Tests with Memristor Based on Graphene and Graphene Oxide
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    Chapter 9 Informing Agent-Based Models of Social Innovation Uptake
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    Chapter 10 Sensitivity Analysis of an Empirical Agent-Based Model of District Heating Network Adoption
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    Chapter 11 Generating a Synthetic Population of Agents Through Decision Trees and Socio Demographic Data
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    Chapter 12 Improved Acoustic Modeling for Automatic Piano Music Transcription Using Echo State Networks
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    Chapter 13 On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks
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    Chapter 14 Benchmarking Reservoir and Recurrent Neural Networks for Human State and Activity Recognition
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    Chapter 15 Learning to Trade from Zero-Knowledge Using Particle Swarm Optimization
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    Chapter 16 Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality
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    Chapter 17 Prediction of Air Pollution Using LSTM
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    Chapter 18 Detection of Alzheimer’s Disease Versus Mild Cognitive Impairment Using a New Modular Hybrid Neural Network
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    Chapter 19 Fine-Tuning of Patterns Assignment to Subnetworks Increases the Capacity of an Attractor Network Ensemble
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    Chapter 20 A Combined Approach for Enhancing the Stability of the Variable Selection Stage in Binary Classification Tasks
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    Chapter 21 A Convolutional Neural Network as a Proxy for the XRF Approximation of the Chemical Composition of Archaeological Artefacts in the Presence of Inter-microscope Variability
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    Chapter 22 Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms
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    Chapter 23 Performance Evaluation of Classical Classifiers and Deep Learning Approaches for Polymers Classification Based on Hyperspectral Images
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    Chapter 24 Hotel Recognition via Latent Image Embeddings
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    Chapter 25 Time Series Prediction with Autoencoding LSTM Networks
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    Chapter 26 Improving Indoor Semantic Segmentation with Boundary-Level Objectives
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    Chapter 27 EvoMLP: A Framework for Evolving Multilayer Perceptrons
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    Chapter 28 Regularized One-Layer Neural Networks for Distributed and Incremental Environments
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    Chapter 29 Frailty Level Prediction in Older Age Using Hand Grip Strength Functions Over Time
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    Chapter 30 Accuracy and Intrusiveness in Data-Driven Violin Players Skill Levels Prediction: MOCAP Against MYO Against KINECT
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    Chapter 31 Features Selection for Fall Detection Systems Based on Machine Learning and Accelerometer Signals
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    Chapter 32 Autonomous Docking of Mobile Robots by Reinforcement Learning Tackling the Sparse Reward Problem
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    Chapter 33 Decision Support Systems for Air Traffic Control with Self-enforcing Networks Based on Weather Forecast and Reference Types for the Direction of Operation
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    Chapter 34 Impact of Minority Class Variability on Anomaly Detection by Means of Random Forests and Support Vector Machines
  36. Altmetric Badge
    Chapter 35 Analyzing the Land Cover Change and Degradation in Sundarbans Mangrove Forest Using Machine Learning and Remote Sensing Technique
  37. Altmetric Badge
    Chapter 36 Correction to: Advances in Computational Intelligence
Attention for Chapter 13: On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks
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Chapter title
On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks
Chapter number 13
Book title
Advances in Computational Intelligence
Published in
arXiv, June 2021
DOI 10.48550/arxiv.2106.09831
Book ISBNs
978-3-03-085098-2, 978-3-03-085099-9
Authors

Antonello Rosato, Massimo Panella, Evgeny Osipov, Denis Kleyko

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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.
 Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 June 2021.
All research outputs
#19,957,118
of 25,392,582 outputs
Outputs from arXiv
#426,637
of 915,148 outputs
Outputs of similar age
#326,700
of 457,940 outputs
Outputs of similar age from arXiv
#13,708
of 27,599 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 915,148 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 457,940 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27,599 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.

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