AI 2021: Advances in Artificial Intelligence : 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2–4, 2022, Proceedings / / edited by Guodong Long, Xinghuo Yu, Sen Wang

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
• Edizione: 1st ed. 2022.
• Descrizione fisica: 1 online resource (810 pages)
• Disciplina: 006.3
• Soggetto topico: Artificial intelligence; Education - Data processing; Social sciences - Data processing; Computer vision; Application software; Artificial Intelligence; Computers and Education; Computer Application in Social and Behavioral Sciences; Computer Vision; Computer and Information Systems Applications
• Persona (resp. second.): YuXing Huo; LongGuodong; WangSen
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: AI 2021, advances in artificial intelligence
• ISBN: 3-030-97546-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910552712103321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Artificial Intelligence, . 2945-9141 ; ; 13151