Advances in Computational Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 Fuzzy Preprocessing for Semi-supervised Image Classification in Modern Industry
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   Chapter 2 Interpretability of Recurrent Neural Networks Trained on Regular Languages
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   Chapter 3 Unsupervised Learning as a Complement to Convolutional Neural Network Classification in the Analysis of Saccadic Eye Movement in Spino-Cerebellar Ataxia Type 2
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   Chapter 4 Scale-Space Theory, F-transform Kernels and CNN Realization
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   Chapter 5 Numerosity Representation in InfoGAN: An Empirical Study
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   Chapter 6 Deep Residual Learning for Human Identification Based on Facial Landmarks
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   Chapter 7 Dynamic Clustering of Time Series with Echo State Networks
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   Chapter 8 Multiple Sclerosis Detection via Wavelet Entropy and Feedforward Neural Network Trained by Adaptive Genetic Algorithm
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    Chapter 9 Multi-mother Wavelet Neural Network Training Using Genetic Algorithm-Based Approach to Optimize and Improves the Robustness of Gradient-Descent Algorithms: 3D Mesh Deformation Application
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    Chapter 10 A Clinical Decision Support System to Help the Interpretation of Laboratory Results and to Elaborate a Clinical Diagnosis in Blood Coagulation Domain
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    Chapter 11 Real-Time Logo Detection in Brand-Related Social Media Images
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    Chapter 12 A Novel Framework for Fine Grained Action Recognition in Soccer
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    Chapter 13 Towards Automatic Crack Detection by Deep Learning and Active Thermography
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    Chapter 14 Optimization of Convolutional Neural Network Ensemble Classifiers by Genetic Algorithms
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    Chapter 15 One Dimensional Fourier Transform on Deep Learning for Industrial Welding Quality Control
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    Chapter 16 A Serious Game to Build a Database for ErrP Signal Recognition
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    Chapter 17 Using Inferred Gestures from sEMG Signal to Teleoperate a Domestic Robot for the Disabled
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    Chapter 18 3D Orientation Estimation of Pharmaceutical Minitablets with Convolutional Neural Network
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    Chapter 19 Flatness Defect Detection and Classification in Hot Rolled Steel Strips Using Convolutional Neural Networks
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    Chapter 20 Image Completion with Filtered Low-Rank Tensor Train Approximations
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    Chapter 21 Knowledge Construction Through Semantic Interpretation of Visual Information
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    Chapter 22 Ensemble Transfer Learning Framework for Vessel Size Estimation from 2D Images
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    Chapter 23 Analyzing Digital Image by Deep Learning for Melanoma Diagnosis
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    Chapter 24 BatchNorm Decomposition for Deep Neural Network Interpretation
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    Chapter 25 Video Categorisation Mimicking Text Mining
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    Chapter 26 Trainable Thresholds for Neural Network Quantization
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    Chapter 27 Integration of CNN into a Robotic Architecture to Build Semantic Maps of Indoor Environments
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    Chapter 28 Tandem Modelling Based Emotion Recognition in Videos
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    Chapter 29 Computational Intelligence Approach for Liquid-Gas Flow Regime Classification Based on Frequency Domain Analysis of Signals from Scintillation Detectors
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    Chapter 30 Waste Classification System Using Image Processing and Convolutional Neural Networks
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    Chapter 31 Artificial Neural Networks for Bottled Water Demand Forecasting: A Small Business Case Study
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    Chapter 32 Detection of Cancerous Lesions with Neural Networks
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    Chapter 33 A Deep Learning Approach to Anomaly Detection in the Gaia Space Mission Data
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    Chapter 34 On Possibilities of Human Head Detection for Person Flow Monitoring System
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    Chapter 35 Performance of Classifiers on Noisy-Labeled Training Data: An Empirical Study on Handwritten Digit Classification Task
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    Chapter 36 Combination of Multiple Classification Results Based on K-Class Alpha Integration
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    Chapter 37 Acceleration of Online Recognition of 2D Sequences Using Deep Bidirectional LSTM and Dynamic Programming
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    Chapter 38 A New Graph Based Brain Connectivity Measure
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    Chapter 39 Many-Objective Cooperative Co-evolutionary Feature Selection: A Lexicographic Approach
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    Chapter 40 An Online Tool for Unfolding Symbolic Fuzzy Logic Programs
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    Chapter 41 Ensemble of Attractor Networks for 2D Gesture Retrieval
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    Chapter 42 Sparse Least Squares Support Vector Machines Based on Genetic Algorithms: A Feature Selection Approach
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    Chapter 43 A Neural Network-Based Approach to Sensor and Actuator Fault-Tolerant Control
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    Chapter 44 Estimating Supervisor Set Using Machine Learning and Optimal Control
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    Chapter 45 Application of Artificial Neural Network Model for Cost Optimization in a Single-Source, Multi-destination System with Non-deterministic Inputs
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    Chapter 46 A New Online Class-Weighting Approach with Deep Neural Networks for Image Segmentation of Highly Unbalanced Glioblastoma Tumors
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    Chapter 47 Classification with Rejection Option Using the Fuzzy ARTMAP Neural Network
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    Chapter 48 About Filter Criteria for Feature Selection in Regression
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    Chapter 49 Bistable Sigmoid Networks
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    Chapter 50 Validation of Unimodal Non-Gaussian Clusters
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    Chapter 51 From Iterative Threshold Decoding to a Low-Power High-Speed Analog VLSI Decoder Implementation
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    Chapter 52 Machine Learning as a Means to Adapt Requirement Changes for SDN Deployment Process in SDN Migration
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    Chapter 53 Searching the Shortest Pair of Edge-Disjoint Paths in a Communication Network. A Fuzzy Approach
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    Chapter 54 Toward Robust Mispronunciation Detection via Audio-Visual Speech Recognition
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    Chapter 55 Link Prediction Regression for Weighted Co-authorship Networks
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    Chapter 56 Red-Black Tree Based NeuroEvolution of Augmenting Topologies
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    Chapter 57 A New Classification Method for Predicting the Output of Dye Process in Textile Industry by Using Artificial Neural Networks
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    Chapter 58 An Efficient Framework to Detect and Avoid Driver Sleepiness Based on YOLO with Haar Cascades and an Intelligent Agent
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    Chapter 59 Fingerprint Retrieval Using a Specialized Ensemble of Attractor Networks
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    Chapter 60 A Fixed-Size Pruning Approach for Optimum-Path Forest
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    Chapter 61 Constraint Exploration of Convolutional Network Architectures with Neuroevolution
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    Chapter 62 Impact of Genetic Algorithms Operators on Association Rules Extraction
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    Chapter 63 The Problems of Selecting Problems
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    Chapter 64 Unsupervised Learning Bee Swarm Optimization Metaheuristic
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    Chapter 65 QBSO-FS: A Reinforcement Learning Based Bee Swarm Optimization Metaheuristic for Feature Selection
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    Chapter 66 Device-Free Passive Human Counting with Bluetooth Low Energy Beacons
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    Chapter 67 Combining Very Deep Convolutional Neural Networks and Recurrent Neural Networks for Video Classification
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    Chapter 68 Towards Applying River Formation Dynamics in Continuous Optimization Problems
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    Chapter 69 Go for Parallel Neural Networks
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    Chapter 70 Using Boolean- and Self-Enforcing-Networks for Mathematical E-Tutorial Systems
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    Chapter 71 Digital Implementation of a Biological-Plausible Model for Astrocyte Ca $$^{2+}$$ Oscillations
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    Chapter 72 Evolving Balancing Controllers for Biped Characters in Games
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    Chapter 73 Feature Selection and Assessment of Lung Cancer Sub-types by Applying Predictive Models
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    Chapter 74 Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification
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    Chapter 75 The Frequent Complete Subgraphs in the Human Connectome