Advances in Computational Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 Skipped Nonsynaptic Backpropagation for Interval-valued Long-term Cognitive Networks
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   Chapter 2 Cross-target Stance Classification as Domain Adaptation
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   Chapter 3 Impact of Loss Function in Deep Learning Methods for Accurate Retinal Vessel Segmentation
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   Chapter 4 Embedded Implementation of the Hypersphere Neural Network for Energy Consumption Monitoring
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   Chapter 5 MACFE: A Meta-learning and Causality Based Feature Engineering Framework
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   Chapter 6 Time Series Forecasting with Quantum Machine Learning Architectures
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   Chapter 7 Explainable Model of Credit Risk Assessment Based on Convolutional Neural Networks
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   Chapter 8 Reinforcement Learning with Success Induced Task Prioritization
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    Chapter 9 Cooperative Chaotic Exploration with UAVs Combining Pheromone Dispersion and Hopfield Chaotic Neural Network
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    Chapter 10 Machine Learning-Based Decision Making in Evolutionary Multiobjective Clustering
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    Chapter 11 RBF Neural Network Based on FT-Windows for Auto-Tunning PID Controller
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    Chapter 12 Pursuing the Deep-Learning-Based Classification of Exposed and Imagined Colors from EEG
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    Chapter 13 Data Stream Mining for Dynamic Student Modeling
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    Chapter 14 CESAMMO: Categorical Encoding by Statistical Applied Multivariable Modeling
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    Chapter 15 Heart Failure Disease Prediction Using Machine Learning Models
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    Chapter 16 Classification of Flood Warnings Applying a Convolutional Neural Network
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    Chapter 17 Machine Learning Techniques in Credit Default Prediction
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    Chapter 18 Convolutional and Dense ANN for Cloud Kinetics Forecasting Using Satellite Images
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    Chapter 19 The Role of the Number of Examples in Convolutional Neural Networks with Hebbian Learning
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    Chapter 20 Vision-Based Gesture Recognition for Smart Light Switching
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    Chapter 21 On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification
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    Chapter 22 A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-Based Photometric Image Enhancement Models
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    Chapter 23 Comparison of Automatic Prostate Zones Segmentation Models in MRI Images Using U-net-like Architectures
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    Chapter 24 Towards an Interpretable Model for Automatic Classification of Endoscopy Images
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    Chapter 25 Reversible Image Authentication Scheme with Tampering Reconstruction Based on Very Deep Super Resolution Network
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    Chapter 26 Improving Artifact Detection in Endoscopic Video Frames Using Deep Learning Techniques
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    Chapter 27 White Blood Cell Detection and Classification in Blood Smear Images Using a One-Stage Object Detector and Similarity Learning
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    Chapter 28 Towards a Complete Multi-agent Pathfinding Algorithm for Large Agents
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    Chapter 29 Analysis of the Anytime MAPF Solvers Based on the Combination of Conflict-Based Search (CBS) and Focal Search (FS)
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    Chapter 30 Studying Special Operators for the Application of Evolutionary Algorithms in the Seek of Optimal Boolean Functions for Cryptography
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    Chapter 31 Unification of Source-Code Re-Use Similarity Measures
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    Chapter 32 Considerations in the Incremental Hypervolume Algorithm of the WFG
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    Chapter 33 A Hybrid Hyperheuristic Approach for the Containership Stowage Problem Considering the Ship Stability
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    Chapter 34 Mathematical Optimization Model for Raw Sugar Unloading Delay from Harbor to Storage Silos