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.