001445319 000__ 08904cam\a2200625Ii\4500
001445319 001__ 1445319
001445319 003__ OCoLC
001445319 005__ 20230310003824.0
001445319 006__ m\\\\\o\\d\\\\\\\\
001445319 007__ cr\un\nnnunnun
001445319 008__ 220323s2022\\\\sz\a\\\\o\\\\\101\0\eng\d
001445319 019__ $$a1304812683$$a1305011031
001445319 020__ $$a9783030975463$$q(electronic bk.)
001445319 020__ $$a3030975460$$q(electronic bk.)
001445319 020__ $$z9783030975456$$q(print)
001445319 020__ $$z3030975452
001445319 0247_ $$a10.1007/978-3-030-97546-3$$2doi
001445319 035__ $$aSP(OCoLC)1305014459
001445319 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dOCLCO$$dOCLCF$$dOCLCO$$dUKAHL$$dOCLCQ
001445319 049__ $$aISEA
001445319 050_4 $$aQ334
001445319 08204 $$a006.3$$223
001445319 1112_ $$aAustralasian Joint Conference on Artificial Intelligence$$n(34th :$$d2021 :$$cOnline)
001445319 24510 $$aAI 2021 :$$bAdvances in artificial intelligence : 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings /$$cGuodong Long, Xinghuo Yu, Sen Wang (eds.).
001445319 264_1 $$aCham, Switzerland :$$bSpringer,$$c2022.
001445319 300__ $$a1 online resource (xvii, 801 pages) :$$billustrations (some color).
001445319 336__ $$atext$$btxt$$2rdacontent
001445319 337__ $$acomputer$$bc$$2rdamedia
001445319 338__ $$aonline resource$$bcr$$2rdacarrier
001445319 4901_ $$aLecture notes in artificial intelligence
001445319 4901_ $$aLecture notes in computer science ;$$v13151
001445319 4901_ $$aLNCS sublibrary, SL 7, Artificial intelligence
001445319 500__ $$a"Due to the COVID-19 pandemic, the conference was virtually held during February 2-4, 2022"
001445319 500__ $$aIncludes author index.
001445319 5050_ $$aEthical 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.
001445319 506__ $$aAccess limited to authorized users.
001445319 520__ $$aThis book constitutes the proceedings of the 34th Australasian Joint Conference on Artificial Intelligence, AI 2021, held in Sydney, NSW, Australia, in February 2022.* The 64 full papers presented in this volume were carefully reviewed and selected from 120 submissions. The papers were organized in topical sections named: Ethical AI, Applications, Classical AI, Computer Vision and Machine Learning, Natural Language Processing and Data Mining, and Network Analysis. *The conference was postponed from December 2021 to February 2022 and held virtually due to the COVID-19 pandemic.
001445319 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 23, 2022).
001445319 650_0 $$aArtificial intelligence$$vCongresses.
001445319 650_6 $$aIntelligence artificielle$$vCongrès.
001445319 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001445319 655_0 $$aElectronic books.
001445319 7001_ $$aLong, Guodong,$$eeditor.$$0(orcid)0000-0003-3740-9515$$1https://orcid.org/0000-0003-3740-9515
001445319 7001_ $$aYu, Xing Huo,$$eeditor.$$1https://orcid.org/0000-0001-8093-9787
001445319 7001_ $$aWang, Sen$$c(Lecturer in computer science),$$eeditor.$$1https://orcid.org/0000-0002-5414-8276
001445319 77608 $$iPrint version: $$z3030975452$$z9783030975456$$w(OCoLC)1294136430
001445319 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001445319 830_0 $$aLecture notes in computer science ;$$v13151.
001445319 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001445319 852__ $$bebk
001445319 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-97546-3$$zOnline Access$$91397441.1
001445319 909CO $$ooai:library.usi.edu:1445319$$pGLOBAL_SET
001445319 980__ $$aBIB
001445319 980__ $$aEBOOK
001445319 982__ $$aEbook
001445319 983__ $$aOnline
001445319 994__ $$a92$$bISE