AI 2021: Advances in Artificial Intelligence

34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2–4, 2022, Proceedings

AvGuodong Long,Xinghuo Yu

Häftad, Engelska, 2022

Del 13151 i serien Lecture Notes in Computer Science

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Beskrivning

This book constitutes the proceedings of the 34th Australasian Joint Conference on Artificial Intelligence, AI 2021, held in Sydney, NSW, Australia, in February 2022.*The 64 full papers presented in this volume were carefully reviewed and selected from 120 submissions. The papers were organized in topical sections named: Ethical AI, Applications, Classical AI, Computer Vision and Machine Learning, Natural Language Processing and Data Mining, and Network Analysis.*The conference was postponed from December 2021 to February 2022 and held virtually due to the COVID-19 pandemic.

Produktinformation

Utgivningsdatum:2022-03-19
Mått:155 x 235 x 44 mm
Vikt:1 218 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:801
Förlag:Springer Nature Switzerland AG
ISBN:9783030975456

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Innehållsförteckning

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.