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Advances in Computational Intelligence

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Cover of 'Advances in Computational Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 A Parallel Swarm Library Based on Functional Programming
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    Chapter 2 A Parallel Island Approach to Multiobjective Feature Selection for Brain-Computer Interfaces
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    Chapter 3 Deep Belief Networks and Multiobjective Feature Selection for BCI with Multiresolution Analysis
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    Chapter 4 IMOGA/SOM: An Intelligent Multi-objective Genetic Algorithm Using Self Organizing Map
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    Chapter 5 Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme
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    Chapter 6 Tuning of Clustering Search Based Metaheuristic by Cross-Validated Racing Approach
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    Chapter 7 A Transformation Approach Towards Big Data Multilabel Decision Trees
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    Chapter 8 Evolutionary Support Vector Regression via Genetic Algorithms: A Dual Approach
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    Chapter 9 Analysis of Electroreception with Temporal Code-Driven Stimulation
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    Chapter 10 A Novel Technique to Estimate Biological Parameters in an Epidemiology Problem
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    Chapter 11 Breast Cancer Microarray and RNASeq Data Integration Applied to Classification
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    Chapter 12 Deep Learning Using EEG Data in Time and Frequency Domains for Sleep Stage Classification
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    Chapter 13 Application of an Eye Tracker Over Facility Layout Problem to Minimize User Fatigue
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    Chapter 14 Active Sensing in Human Activity Recognition
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    Chapter 15 Searching the Sky for Neural Networks
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    Chapter 16 Non-linear Least Mean Squares Prediction Based on Non-Gaussian Mixtures
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    Chapter 17 Synchronized Multi-chain Mixture of Independent Component Analyzers
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    Chapter 18 Pooling Spike Neural Network for Acceleration of Global Illumination Rendering
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    Chapter 19 Automatic Recognition of Daily Physical Activities for an Intelligent-Portable Oxygen Concentrator (iPOC)
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    Chapter 20 Automatic Detection of Epiretinal Membrane in OCT Images by Means of Local Luminosity Patterns
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    Chapter 21 An Expert System Based on Using Artificial Neural Network and Region-Based Image Processing to Recognition Substantia Nigra and Atherosclerotic Plaques in B-Images: A Prospective Study
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    Chapter 22 Automatic Tool for Optic Disc and Cup Detection on Retinal Fundus Images
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    Chapter 23 2C-SVM Based Radar Detectors in Gaussian and K-Distributed Real Interference
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    Chapter 24 Uncertainty Analysis of ANN Based Spectral Analysis Using Monte Carlo Method
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    Chapter 25 Using Deep Learning for Image Similarity in Product Matching
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    Chapter 26 Enhanced Similarity Measure for Sparse Subspace Clustering Method
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    Chapter 27 Neural Network-Based Simultaneous Estimation of Actuator and Sensor Faults
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    Chapter 28 Exploring a Mathematical Model of Gain Control via Lateral Inhibition in the Antennal Lobe
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    Chapter 29 Optimal Spherical Separability: Artificial Neural Networks
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    Chapter 30 Pre-emphasizing Binarized Ensembles to Improve Classification Performance
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    Chapter 31 Dynamics of Quaternionic Hopfield Type Neural Networks
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    Chapter 32 Quasi-Newton Learning Methods for Quaternion-Valued Neural Networks
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    Chapter 33 Exponential Stability for Delayed Octonion-Valued Recurrent Neural Networks
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    Chapter 34 Forward Stagewise Regression on Incomplete Datasets
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    Chapter 35 Convolutional Neural Networks with the F-transform Kernels
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    Chapter 36 Class Switching Ensembles for Ordinal Regression
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    Chapter 37 Attractor Basin Analysis of the Hopfield Model: The Generalized Quadratic Knapsack Problem
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    Chapter 38 A Systematic Approach for the Application of Restricted Boltzmann Machines in Network Intrusion Detection
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    Chapter 39 Selecting the Coherence Notion in Multi-adjoint Normal Logic Programming
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    Chapter 40 Gaussian Opposite Maps for Reduced-Set Relevance Vector Machines
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    Chapter 41 Massive Parallel Self-organizing Map and 2-Opt on GPU to Large Scale TSP
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    Chapter 42 Finding Self-organized Criticality in Collaborative Work via Repository Mining
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    Chapter 43 Capacity and Retrieval of a Modular Set of Diluted Attractor Networks with Respect to the Global Number of Neurons
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    Chapter 44 Opposite-to-Noise ARTMAP Neural Network
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    Chapter 45 Accuracy Improvement of Neural Networks Through Self-Organizing-Maps over Training Datasets
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    Chapter 46 Computing with Biophysical and Hardware-Efficient Neural Models
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    Chapter 47 A SpiNNaker Application: Design, Implementation and Validation of SCPGs
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    Chapter 48 Smart Hardware Implementation of Spiking Neural Networks
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    Chapter 49 An Extended Algorithm Using Adaptation of Momentum and Learning Rate for Spiking Neurons Emitting Multiple Spikes
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    Chapter 50 Development of Doped Graphene Oxide Resistive Memories for Applications Based on Neuromorphic Computing
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    Chapter 51 Performance Study of Different Metaheuristics for Diabetes Diagnosis
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    Chapter 52 Randomized Neural Networks for Recursive System Identification in the Presence of Outliers: A Performance Comparison
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    Chapter 53 Neural Network Overtopping Predictor Proof of Concept
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    Chapter 54 Artificial Neural Networks Based Approaches for the Prediction of Mean Flow Stress in Hot Rolling of Steel
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    Chapter 55 State of Health Estimation of Zinc Air Batteries Using Neural Networks
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    Chapter 56 Bayesian Optimization of a Hybrid Prediction System for Optimal Wave Energy Estimation Problems
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    Chapter 57 Hybrid Model for Large Scale Forecasting of Power Consumption
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    Chapter 58 A Coral Reef Optimization Algorithm for Wave Height Time Series Segmentation Problems
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    Chapter 59 Satellite Based Nowcasting of PV Energy over Peninsular Spain
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    Chapter 60 A Study on Feature Selection Methods for Wind Energy Prediction
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    Chapter 61 Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction
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    Chapter 62 Arbitrated Ensemble for Solar Radiation Forecasting
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    Chapter 63 Modeling the Transformation of Olive Tree Biomass into Bioethanol with Reg-CO $$^2$$ RBFN
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    Chapter 64 A Hybrid Neuro-Evolutionary Algorithm for Wind Power Ramp Events Detection
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    Chapter 65 Erratum to: A Novel Technique to Estimate Biological Parameters in an Epidemiology Problem
Attention for Chapter 26: Enhanced Similarity Measure for Sparse Subspace Clustering Method
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Chapter title
Enhanced Similarity Measure for Sparse Subspace Clustering Method
Chapter number 26
Book title
Advances in Computational Intelligence
Published by
Springer, Cham, June 2017
DOI 10.1007/978-3-319-59153-7_26
Book ISBNs
978-3-31-959152-0, 978-3-31-959153-7
Authors

Sabra Hechmi, Abir Gallas, Ezzeddine Zagrouba

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Other 1 25%
Student > Ph. D. Student 1 25%
Professor > Associate Professor 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Engineering 1 25%