AI 2021: Advances in Artificial Intelligence

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.