UID:
almahu_9949419933102882
Format:
XXIV, 817 p. 253 illus., 220 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9783031226953
Series Statement:
Lecture Notes in Artificial Intelligence, 13728
Content:
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.
Note:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031226946
Additional Edition:
Printed edition: ISBN 9783031226960
Language:
English
DOI:
10.1007/978-3-031-22695-3
URL:
https://doi.org/10.1007/978-3-031-22695-3
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