AI 2022: Advances in Artificial Intelligence

35th Australasian Joint Conference, AI 2022, Perth, WA, Australia, December 5¿8, 2022, Proceedings
Herausgegeben:Aziz, Haris; Corrêa, Débora; French, Tim

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed proceedings of the 35th Australasian Joint Conference on Artificial Intelligence, AI 2022, which took place in Perth, WA, Australia, in December 5-8, 2022.
The 56 full papers included in this book were carefully reviewed and selected from 90 submissions. They were organized in topical sections as follows: Computer Vision; Deep Learning; Ethical/Explainable AI; Genetic Algorithms; Knowledge Representation and NLP; Machine Learning; Medical AI; Optimization; and Reinforcement Learning.

Produktdetails

• Lecture Notes in Computer Science 13728
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-22694-6
• 1st ed. 2022
• Seitenzahl: 844
• Erscheinungstermin: 3. Dezember 2022
• Englisch
• Abmessung: 235mm x 155mm x 45mm
• Gewicht: 1253g
• ISBN-13: 9783031226946
• ISBN-10: 3031226941
• Artikelnr.: 66287498

Inhaltsangabe

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