AI 2022: Advances in Artificial Intelligence

35th Australasian Joint Conference, AI 2022, Perth, WA, Australia, December 5–8, 2022, Proceedings

AvHaris Aziz,Débora Corrêa

Häftad, Engelska, 2022

Del 13728 i serien Lecture Notes in Computer Science

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Beskrivning

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. Ethical/Explainable AI; Medical AI;

Produktinformation

Utgivningsdatum:2022-12-03
Mått:155 x 235 x 45 mm
Vikt:1 253 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:817
Förlag:Springer International Publishing AG
ISBN:9783031226946

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

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.