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AI 2022: Advances in Artificial Intelligence : 35th Australasian Joint Conference, AI 2022, Perth, WA, Australia, December 5-8, 2022, Proceedings /

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Aziz, Haris (Editor), Corrêa, Débora (Editor), French, Tim (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Series:Lecture Notes in Artificial Intelligence, 13728
Subjects:
Artificial intelligence.
Computer networks .
Data mining.
Application software.
Computer vision.
Artificial Intelligence.
Computer Communication Networks.
Data Mining and Knowledge Discovery.
Computer and Information Systems Applications.
Computer Vision.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 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 ECG Classification
  • 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 Knapsack Problem
  • 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.