AI 2022: Advances in Artificial Intelligence : 35th Australasian Joint Conference, AI 2022, Perth, WA, Australia, December 5–8, 2022, Proceedings / edited by Haris Aziz, Débora Corrêa, Tim French.

Format:

Book

Conference/Event

Author/Creator:

Xue, Bing (Senior lecturer in computer science), author.

Contributor:

Corrêa, Débora, editor.

French, Tim, editor.

Aziz, Haris, editor.

Conference Name:

Australasian Joint Conference on Artificial Intelligence (35th : 2022 : Perth, W.A.)

Series:

Lecture Notes in Artificial Intelligence, 2945-9141 ; 13728

Language:

English

Subjects (All):

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.

Local Subjects:

Artificial Intelligence.

Computer Communication Networks.

Data Mining and Knowledge Discovery.

Computer and Information Systems Applications.

Computer Vision.

Physical Description:

1 online resource (824 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

Summary:

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.

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 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.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Aziz, Haris AI 2022: Advances in Artificial Intelligence

ISBN:

9783031226953

303122695X

OCLC:

1356003207