AI 2022: Advances in Artificial Intelligence

Computer Vision.-&nbsp;Automated On-Vehicle Road Defect Data Collection and Detection.-&nbsp;Vision Transformer Based Model for Describing a Set of Images as a Story.-&nbsp;Diverse Audio-to-Video GAN using Multiscale Image Fusion.-&nbsp;Zero-shot Personality Perception From Facial Images.-&nbsp;Multi-view based clustering of 3D LiDAR point clouds for intelligent vehicles.-&nbsp;Deep Learning.-&nbsp;FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity.-&nbsp;SG-Shuffle: Multi-aspect Shuffle Transformer for Scene Graph Generation.-&nbsp;Explainable Detection of Microplastics Using Transformer Neural Networks.-&nbsp;EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search.-&nbsp;Impact of Mathematical Norms on Convergence of Gradient Descent Algorithms for Deep Neural Networks Learning.-&nbsp;The Feasibility of Deep Counterfactual Regret Minimisation for Trading Card Games.-&nbsp;Are Graph Neural Network Explainers Robust to Graph Noises?.-&nbsp;Ethical/Explainable AI.-&nbsp;Towards Explainable AutoML Using Error Decomposition.-&nbsp;Does A Compromise on Fairness Exist in Using AI Models?.-&nbsp;Fairness Aware Swarm-based Machine Learning for Data Streams.-&nbsp;Explainable Network Intrusion Detection Using External Memory Models.-&nbsp;Genetic Algorithms.-&nbsp;Handling Different Preferences between Objectives for Multi-objective Feature Selection in Classification.-&nbsp;Genetic Algorithm with a Novel Leiden-based Mutation Operator for Community Detection.-&nbsp;Evolution Strategies for Sparse Reward Gridworld Environments.-&nbsp;Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers.-&nbsp;Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming.-&nbsp;Knowledge Representation and NLP.-&nbsp;QUARRY: A Graph Model for Queryable Association Rules.-&nbsp;Using Context-Free Grammar To Generate Synthetic Technical Short Texts.-&nbsp;Predicting Marimba Stickings Using Long Short-Term Memory Neural Networks.-&nbsp;Systematic Monotonicity and Consistency for Adversarial Natural Language Inference.-&nbsp;Understanding Document Data Sources Using Ontologies with Referring Expressions.-&nbsp;Tyche: A Library for Probabilistic Reasoning and Belief Modelling in Python.-&nbsp;Belief Revision with Dishonest Reports.-&nbsp;Machine Learning.-&nbsp;Active Learning for kNN using Instance Impact.-&nbsp;Multiclass Malware Classification using either Static Opcodes or Dynamic API Calls.-&nbsp;A Novel Approach to Time Series Complexity via Reservoir Computing.-&nbsp;Boosted Self–Evolving Neural Networks for Pattern Recognition.-&nbsp;Machine learning inspired fault detection of dynamical networks.-&nbsp;Medical AI.-&nbsp;Multiclass Classification for GvHD Prognosis Prior to Allogenic Stem Cell Transplantation.-&nbsp;What Leads to Arrhythmia: Active Causal Representation Learning of ECG Classification.-&nbsp;Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach.-&nbsp;Automated Radiology Report Generation using a Transformer-Template System: Improved Clinical Accuracy and an Assessment of Clinical Safety.-&nbsp;3D Face Reconstruction with Mobile Phone Cameras for Rare Disease Diagnosis.-&nbsp;Non-linear Continuous Action Spaces for Reinforcement Learning in Type 1 Diabetes.-&nbsp;Cognitive impairment prediction by normal cognitive brain MRI scans using deep learning.-&nbsp;A Text-Independent Forced Alignment Method for Automatic Phoneme Segmentation.-&nbsp;Multi-componential Emotion Recognition in VR Using Physiological Signals.-&nbsp;Liver Disease Classification by Pruning Data Dependency Utilizing Ensemble Learning Based Feature Selection.-&nbsp;Medical Optimization.-&nbsp;Optimizing the Feature Set for Machine Learning Charitable Predictions.-&nbsp;Operation-based Greedy Algorithm for Discounted Knapsack Problem.-&nbsp;Dynamic Bus Holding Control Using Spatial-Temporal Data – A Deep Reinforcement Learning Approach.-&nbsp;Latent Pattern Identification using Orthogonal-Constraint Coupled Nonnegative Matrix Factorization.-&nbsp;Efficiency and Truthfulness in Dial-a-Ride Problems with Customers Location Preferences.-&nbsp;Reinforcement Learning.-&nbsp;Human-Autonomous Teaming Framework based on Trust Modelling.-&nbsp;Using Uncertainty as a Defense Against Adversarial Attacks for Tabular Datasets.-&nbsp;Autonomous UAV Navigation in Wilderness Search-and-Rescue Operations Using Deep Reinforcement Learning.-&nbsp;Active Learning Using Difficult Instances.-&nbsp;Reinforcement Learning for Collective Motion Tuning in the Presence of Extrinsic Goals.-&nbsp;Enhancing the Speed of Hierarchical Learning Automata by Ordering the Actions – A Pioneering Approach.-&nbsp;A Robust Exploration Strategy in Reinforcement Learning Based on Temporal Difference Error.-&nbsp;Examining average and discounted reward optimality criteria in reinforcement learning.<br>