El. knyga: AI 2021: Advances in Artificial Intelligence: 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings

Ethical AI.- An Explanation Module for Deep Neural Networks Facing
Multivariate Time Series Classification.- Privacy-preserving in Double
Deep-Q-Network with differential privacy in Continuous Spaces.- HESIP: a
Hybrid System for Explaining Sub-symbolic Predictions.- An Explainable
Recommendation Based on Acyclic Paths in an Edge-Colored Graph.- Knowledge
Transfer for Deep Reinforcement Agents in General Game Playing.- GSMI: A
Gradient Sign Optimization Based Model Inversion Method.- Multicollinearity
Correction and Combined Feature Effect in Shapley Values.- Does a Face Mask
Protect my Privacy? Using Deep Learning to Predict Protected Attributes from
Masked Face Images.- Representation-Induced Algorithmic Bias: An empirical
assessment of behavioural equivalence over 14 reinforcement learning
algorithms across 4 isomorphic gameform representations.- Contextual
Importance and Utility: a Theoretical Foundation.- Deeper Insights into
Neural Nets with Random Weights.- Applications.- De Novo Molecular Generation
with SBiAAE.- Tailoring Contact Based Scoring Functions for Protein Structure
Prediction.- Evaluation of Deep Learning Techniques on a Novel Hierarchical
Surgical Tool Dataset.- Feature Extraction Using Wavelet Scattering Transform
Coefficients for EMG Pattern Classification.- Modelling Eye-gaze Movement
using Gaussian Auto-regression Hidden Markov.- Strategies Improve Social
Welfare: An Empirical Study of Strategic Voting in Social Networks.- A
Network-based Rating Mechanism Against False-Name Attack.- Modular
Construction Planning using Graph Neural Network Heuristic Search.-
Priority-based Traffic Management Protocol for Autonomous Vehicles on Road
Network.- Improving Traffic Load Prediction with Multi-Modality: A Case Study
of Brisbane.- Predicting Geological Material Types with Ground Penetrating
Radar             .- A Gated Recurrent Neural Network for Electric Vehicle
Detection with Imbalanced Samples        .- User-Defined Smart Contracts
using Answer Set Programming.- Predicting Financial Literacy via
Semi-supervised Learning.- Machine Teaching-based Efficient Labelling for
Cross-unit Healthcare Data Modelling.- Predicting COVID-19 Patient Shielding:
A Comprehensive Study.- Machine learning algorithms in application to
COVID-19 severity prediction in patients.- Identifying the effective
restriction and vaccination policies during the COVID-19 crisis in Sydney: A
machine learning approach.- Beyond Topics: Discovering Latent Healthcare
Objectives from Event Sequences.- Predicting Outcomes for Cancer Patients
with Transformer-based Multi-task Learning.- Deep Reinforcement Learning for
DynamicThings of Interest Recommendation in Intelligent Ambient Environment.-
A Self-Learning Approach for Baggiatoa Coverage Estimation in Aquaculture.-
Real-time prediction of the lane-based delay for group-based adaptive traffic
operations using Long Short-Term Memory.- Exploring Transformers for Intruder
Detection in Complex Maritime Environment.- Transfer Learning Assisted GPHH
for Dynamic Multi-Workflow Scheduling in Cloud Computing.- Automated Image
Classification in the Diagnosis of Knee MRI.- Classical AI.- Analysing
multiobjective optimization using evolutionary path length correlation.-
Decentralizing Self-organizing Maps.- A heuristic repair algorithm for the
maximum stable marriage problem with ties and incomplete lists.- The
Hierarchical Discrete Learning Automaton Suitable for Environments with Many
Actions and High Accuracy Requirements.- Hybrid Grouping Genetic Algorithm
for Large-scale Two-Level Resource Allocation of Containers in the Cloud.-
Transfer Learning for Autonomous Recognition of Swarm Behaviour in UGVs.-
Multivariate Ordinal Patterns for Symmetry Approximation in Dynamic
Probabilistic Relational Models.- A Hybrid Multiagent-based Rescheduling
Mechanism for Open and Stochastic Environments Concerning the Execution
Stage.- BiES: Adaptive Policy Optimization for Model-based Offline
Reinforcement Learning.- Improvement of Arc Consistency in Asynchronous
Forward Bounding algorithm.- Computer Vision and Machine Learnin.-
GAN-Assisted YUV Pixel Art Generation.- Investigating Active
Positive-Unlabeled Learning with Deep Networks.- UFO RPN: A Region Proposal
Network for Ultra Fast Object Detection.- Accurate New Zealand Wildlife Image
Classification- Deep learning approach.- Better Self-training for Image
Classification through Self-supervision.- Video-based Student Engagement
Estimation via Time Convolution Neural Networks for Remote Learning.- Eye
Movement and Visual Target Synchronization Level Detection Using Deep
Learning.- Vehicle Detection Based on Cascade Deep Learning Method Using
Deformed Oriented Bounding Box.- Improving Evolutionary Generative
Adversarial Networks.- Natural Language Processing and Data Mining.-
Focus-based Text Summarization with Hybrid Embeddings.- An Empirical Study of
Fuzzy Decision Tree for Gradient Boosting Ensemble.- SimSCL : A Simple
fully-Supervised Contrastive Learning Framework for Text Representation.-
KPCR: Knowledge graph enhanced Personalized Course Recommendation.-
Probabilistic Term Weighting based on Three-Way Decisions for Class Based
Feature Selection.- LTWNN: A Novel Approach using Sentence Embeddings for
Extracting Diverse Concepts in MOOCs               .- ETBTRank: Ranking
Biterms in Paper Titles for Emerging Topic Discovery.- Network Analysis.-
Inference of Geological Material Groups Using Structural Monitoring Sensors
on Excavators.