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 Environme