Advances in Computational Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 Predicting Wildfires in the Caribbean Using Multi-source Satellite Data and Deep Learning
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   Chapter 2 Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning
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   Chapter 3 CauSim: A Causal Learning Framework for Fine-Grained Image Similarity
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   Chapter 4 NOSpcimen: A First Approach to Unsupervised Discarding of Empty Photo Trap Images
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   Chapter 5 Efficient Transformer for Video Summarization
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   Chapter 6 Driver’s Condition Detection System Using Multimodal Imaging and Machine Learning Algorithms
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   Chapter 7 On-Line Authenticity Verification of a Biometric Signature Using Dynamic Time Warping Method and Neural Networks
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   Chapter 8 SlideGCN: Slightly Deep Graph Convolutional Network for Multilingual Sentiment Analysis
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    Chapter 9 Toward Machine’s Artificial Aesthetic Perception: C ould Machines Appreciate the Beauty?
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    Chapter 10 Detection and Visualization of User Facial Expressions
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    Chapter 11 Offline Substitution Machine Learning Model for the Prediction of Fitness of GA-ARM
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    Chapter 12 Phenotype Discrimination Based on Pressure Signals by Transfer Learning Approaches
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    Chapter 13 AATiENDe: Automatic ATtention Evaluation on a Non-invasive Device
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    Chapter 14 Effective Black Box Adversarial Attack with Handcrafted Kernels
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    Chapter 15 Implementation of a Neural Network for the Recognition of Emotional States by Social Robots, Using ‘OhBot’
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    Chapter 16 Towards a Voxelized Semantic Representation of the Workspace of Mobile Robots
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    Chapter 17 Intersection over Union with Smoothing for Bounding Box Regression
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    Chapter 18 Artificial Vision Technique to Detect and Classify Cocoa Beans
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    Chapter 19 Efficient Blind Image Super-Resolution
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    Chapter 20 LAPUSKA: Fast Image Super-Resolution via LAPlacian UpScale Knowledge Alignment
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    Chapter 21 Deep Learning Approaches Applied to MRI and PET Image Classification of Kidney Tumours: A Systematic Review
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    Chapter 22 Comparison of ANN and SVR for State of Charge Regression Evaluating EIS Spectra
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    Chapter 23 An Approach to Predicting Social Events via Dailies Tracking
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    Chapter 24 Data Fusion for Prediction of Variations in Students Grades
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    Chapter 25 Designing a Fault Detection System for Wind Turbine Control Monitoring Using CEP
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    Chapter 26 Halyomorpha Halys Detection in Orchard from UAV Images Using Convolutional Neural Networks
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    Chapter 27 Chemistry-Wise Augmentations for Molecule Graph Self-supervised Representation Learning
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    Chapter 28 Machine Learning Models for Depression Detection Using the Concept of Perceived Control
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    Chapter 29 ECG Hearbeat Classification Based on Multi-scale Convolutional Neural Networks
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    Chapter 30 Fast Convolutional Analysis of Task-Based fMRI Data for ADHD Detection
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    Chapter 31 On Stability Assessment Using the WalkIT Smart Rollator
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    Chapter 32 Data Analysis and Generation in the ENVELLINT Longitudinal Study to Determine Loss of Functionality in Elderly People
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    Chapter 33 Prediction of Transportation Orders in Logistics Based on LSTM: Cargo Taxi
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    Chapter 34 X-ELM: A Fast Explainability Approach for Extreme Learning Machines
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    Chapter 35 Replacing Goniophotometer with Camera and U-Net with Hypercolumn Rescale Block
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    Chapter 36 Unsupervised Clustering at the Service of Automatic Anomaly Detection in Industry 4.0
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    Chapter 37 Adversarial Attacks on Leakage Detectors in Water Distribution Networks
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    Chapter 38 Automatic Control of Class Weights in the Semantic Segmentation of Corrosion Compounds on Archaeological Artefacts
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    Chapter 39 Study on Semantic Inpainting Deep Learning Models for Artefacts with Traditional Motifs
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    Chapter 40 A Novel Approach to Jominy Profile Prediction Based on 1D Convolutional Neural Networks and Autoencoders that Supports Transfer Learning
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    Chapter 41 Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification
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    Chapter 42 Ordinal Classification Approach for Donor-Recipient Matching in Liver Transplantation with Circulatory Death Donors
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    Chapter 43 Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models
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    Chapter 44 A Dictionary-Based Approach to Time Series Ordinal Classification
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    Chapter 45 Effects of Stimulus Sequences on Brain-Computer Interfaces Using Code-Modulated Visual Evoked Potentials: An Offline Simulation
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    Chapter 46 Evaluation of Visual Parameters to Control a Visual ERP-BCI Under Single-Trial Classification
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    Chapter 47 Toward Early Stopping Detection for Non-binary c-VEP-Based BCIs: A Pilot Study
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    Chapter 48 Gender Influence on cVEP-Based BCI Performance
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    Chapter 49 Bit-Wise Reconstruction of Non-binary Visual Stimulation Patterns from EEG Using Deep Learning: A Promising Alternative for User-Friendly High-Speed c-VEP-Based BCIs
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    Chapter 50 Event-Based Regression with Spiking Networks
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    Chapter 51 Event-Based Classification of Defects in Civil Infrastructures with Artificial and Spiking Neural Networks
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    Chapter 52 SpikeBALL: Neuromorphic Dataset for Object Tracking
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    Chapter 53 TM-SNN: Threshold Modulated Spiking Neural Network for Multi-task Learning