AI 2022: Advances in Artificial Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 Automated On-Vehicle Road Defect Data Collection and Detection
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   Chapter 2 Vision Transformer Based Model for Describing a Set of Images as a Story
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   Chapter 3 Diverse Audio-to-Video GAN using Multiscale Image Fusion
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   Chapter 4 Zero-shot Personality Perception From Facial Images
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   Chapter 5 Multi-view Based Clustering of 3D LiDAR Point Clouds for Intelligent Vehicles
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   Chapter 6 FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity
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   Chapter 7 SG-Shuffle: Multi-aspect Shuffle Transformer for Scene Graph Generation
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   Chapter 8 Explainable Detection of Microplastics Using Transformer Neural Networks
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    Chapter 9 EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search
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    Chapter 10 Impact of Mathematical Norms on Convergence of Gradient Descent Algorithms for Deep Neural Networks Learning
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    Chapter 11 The Feasibility of Deep Counterfactual Regret Minimisation for Trading Card Games
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    Chapter 12 Are Graph Neural Network Explainers Robust to Graph Noises?
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    Chapter 13 Towards Explainable AutoML Using Error Decomposition
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    Chapter 14 Does a Compromise on Fairness Exist in Using AI Models?
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    Chapter 15 Fairness Aware Swarm-based Machine Learning for Data Streams
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    Chapter 16 Explainable Network Intrusion Detection Using External Memory Models
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    Chapter 17 Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification
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    Chapter 18 Genetic Algorithm with a Novel Leiden-based Mutation Operator for Community Detection
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    Chapter 19 Evolution Strategies for Sparse Reward Gridworld Environments
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    Chapter 20 Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers
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    Chapter 21 Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming
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    Chapter 22 QUARRY: A Graph Model for Queryable Association Rules
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    Chapter 23 Using Context-Free Grammar to Generate Synthetic Technical Short Texts
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    Chapter 24 Predicting Marimba Stickings Using Long Short-Term Memory Neural Networks
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    Chapter 25 Systematic Monotonicity and Consistency for Adversarial Natural Language Inference
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    Chapter 26 Understanding Document Data Sources Using Ontologies with Referring Expressions
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    Chapter 27 Tyche: A Library for Probabilistic Reasoning and Belief Modelling in Python
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    Chapter 28 Belief Revision with Dishonest Reports
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    Chapter 29 Active Learning for kNN Using Instance Impact
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    Chapter 30 Multiclass Malware Classification Using Either Static Opcodes or Dynamic API Calls
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    Chapter 31 A Novel Approach to Time Series Complexity via Reservoir Computing
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    Chapter 32 Boosted Self–evolving Neural Networks for Pattern Recognition
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    Chapter 33 Machine Learning Inspired Fault Detection of Dynamical Networks
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    Chapter 34 Multiclass Classification for GvHD Prognosis Prior to Allogeneic Stem Cell Transplantation
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    Chapter 35 What Leads to Arrhythmia: Active Causal Representation Learning of ECG Classification
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    Chapter 36 Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach
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    Chapter 37 Automated Radiology Report Generation Using a Transformer-Template System: Improved Clinical Accuracy and an Assessment of Clinical Safety
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    Chapter 38 3D Face Reconstruction with Mobile Phone Cameras for Rare Disease Diagnosis
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    Chapter 39 Non-linear Continuous Action Spaces for Reinforcement Learning in Type 1 Diabetes
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    Chapter 40 Cognitive Impairment Prediction by Normal Cognitive Brain MRI Scans Using Deep Learning
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    Chapter 41 A Text-Independent Forced Alignment Method for Automatic Phoneme Segmentation
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    Chapter 42 Multi-componential Emotion Recognition in VR Using Physiological Signals
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    Chapter 43 Liver Disease Classification by Pruning Data Dependency Utilizing Ensemble Learning Based Feature Selection
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    Chapter 44 Optimizing the Feature Set for Machine Learning Charitable Predictions
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    Chapter 45 Operation-based Greedy Algorithm for Discounted Knapsack Problem
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    Chapter 46 Dynamic Bus Holding Control Using Spatial-Temporal Data – A Deep Reinforcement Learning Approach
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    Chapter 47 Latent Pattern Identification Using Orthogonal-Constraint Coupled Nonnegative Matrix Factorization
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    Chapter 48 Efficiency and Truthfulness in Dial-a-Ride Problems with Customers Location Preferences
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    Chapter 49 Human-Autonomous Teaming Framework Based on Trust Modelling
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    Chapter 50 Using Uncertainty as a Defense Against Adversarial Attacks for Tabular Datasets
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    Chapter 51 Autonomous UAV Navigation in Wilderness Search-and-Rescue Operations Using Deep Reinforcement Learning
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    Chapter 52 Active Learning Using Difficult Instances
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    Chapter 53 Reinforcement Learning for Collective Motion Tuning in the Presence of Extrinsic Goals
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    Chapter 54 Enhancing the Speed of Hierarchical Learning Automata by Ordering the Actions - A Pioneering Approach
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    Chapter 55 A Robust Exploration Strategy in Reinforcement Learning Based on Temporal Difference Error
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    Chapter 56 Examining Average and Discounted Reward Optimality Criteria in Reinforcement Learning
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    Chapter 57 Correction to: Efficiency and Truthfulness in Dial-a-Ride Problems with Customers Location Preferences