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020		▼a9789819603480▼9978-981-96-0348-0
024		▼a10.1007/978-981-96-0348-0▼2doi
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245	00	▼aAI 2024: Advances in Artificial Intelligence▼h[electronic resource] :▼b37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25–29, 2024, Proceedings, Part I /▼cedited by Mingming Gong, Yiliao Song, Yun Sing Koh, Wei Xiang, Derui Wang.
250		▼a1st ed. 2025.
264		▼aSingapore :▼bSpringer Nature Singapore :▼bImprint: Springer,▼c2025.
300		▼aXX, 412 p. 110 illus., 95 illus. in color.▼bonline resource.
336		▼atext▼btxt▼2rdacontent
337		▼acomputer▼bc▼2rdamedia
338		▼aonline resource▼bcr▼2rdacarrier
347		▼atext file▼bPDF▼2rda
490		▼aLecture Notes in Artificial Intelligence,▼x2945-9141 ;▼v15442
505		▼a -- Knowledge Representation and NLP. -- DELA: Dual Embedding Using LSTM and Attention for Asset Tag Inference in Industrial Automation Systems. -- Combined Change Operators for Trust and Belief. -- Highlighting Case Studies in LLM Literature Review of Interdisciplinary System Science. -- Legal Judgment Prediction through Argument Analysis. -- Conditional Prototypical Optimal Transport for Enhanced Clue Identification in Multiple Choice Question Answering. -- REFINE on Scarce Data: Retrieval Enhancement through Fine-Tuning via Model Fusion of Embedding Models. -- Leveraging LLM in Genetic Programming Hyper-Heuristics for Dynamic Microservice Deployment. -- Bidirectional Dependency Representation Disentanglement for Time Series Classification. -- SCODA - A Framework for Software Capability Representation and Inspection. -- Some Considerations for the Preservation of Endangered Languages Using Low-Resource Machine Translation. -- Trustworthy and Explainable AI. -- Improving Intersectional Group Fairness Using Conditional Generative Adversarial Network and Transfer Learning. -- GPT-4 Attempting to Attack AI-Text Detectors. -- Charting a Fair Path: FaGGM Fairness-aware Generative Graphical Models. -- Shedding Light on Greenwashing: Explainable Machine Learning for Green Ad Detection. -- Beyond Factualism: A Study of LLM Calibration through the Lens of Conversational Emotion Recognition. -- Ensuring Fairness in Stochastic Multi-Armed Bandit Problems for Effective Group Recommendations. -- Human Decision-Making Concepts with Goal-Oriented Reasoning for Explainable Deep Reinforcement Learning. -- Towards Explainable Deep Learning for Non-melanoma Skin Cancer Diagnosis. -- Machine Learning and Data Mining. -- Localization System Enhanced with CDLPE: A Low-Cost, Resilient Map-Matching Algorithm. -- FocDepthFormer: Transformer with latent LSTM for Depth Estimation from Focal Stack. -- TSI: A Multi-View Representation Learning Approach for Time Series Forecasting. -- Climate Downscaling Monthly Coastal Sea Surface Temperature Using Convolutional Neural Network and Composite Loss. -- DBSSM: Deep BERT-based Semantic Skill Matching from Resumes to a Public Skill Taxonomy. -- Designing an Adaptive AI System for Operation on Board the SpIRIT Nano-satellite. -- LSTM Autoencoder-based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction. -- An Improved Prescriptive Tree-based Model for Stochastic Parallel Machine Scheduling. -- Economic Graph Lottery Ticket: A GNN based Economic Forecasting Model. -- Pattern-based Trading by Continual Learning of Price and Volume Patterns. -- An Experimental Study on Decomposition-Based Deep Ensemble Learning for Traffic Flow Forecasting.
520		▼aThis two-volume set LNAI 15442-15443 constitutes the refereed proceedings of the 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, held in Melbourne, VIC, Australia, during November 25-29, 2024. The 59 full papers presented together with 3 short papers were carefully reviewed and selected from 108 submissions. Part 1: Knowledge Representation and NLP; Trustworthy and Explainable AI; Machine Learning and Data Mining. Part 2: Reinforcement Learning and Robotics; Learning Algorithms; Computer Vision; AI for Healthcare.
650		▼aArtificial intelligence.
650		▼aComputer networks .
650		▼aData mining.
650		▼aApplication software.
650		▼aComputer vision.
650		▼aArtificial Intelligence.
650		▼aComputer Communication Networks.
650		▼aData Mining and Knowledge Discovery.
650		▼aComputer and Information Systems Applications.
650		▼aComputer Vision.
700		▼aGong, Mingming.▼eeditor.▼0(orcid)0000-0001-7147-5589▼1https://orcid.org/0000-0001-7147-5589▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼aSong, Yiliao.▼eeditor.▼0(orcid)0000-0002-6633-2695▼1https://orcid.org/0000-0002-6633-2695▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼aKoh, Yun Sing.▼eeditor.▼0(orcid)0000-0001-7256-4049▼1https://orcid.org/0000-0001-7256-4049▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼aXiang, Wei.▼eeditor.▼0(orcid)0000-0002-0608-065X▼1https://orcid.org/0000-0002-0608-065X▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼aWang, Derui.▼eeditor.▼0(orcid)0000-0003-1388-7715▼1https://orcid.org/0000-0003-1388-7715▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
710		▼aSpringerLink (Online service)
773		▼tSpringer Nature eBook
776		▼iPrinted edition:▼z9789819603473
776		▼iPrinted edition:▼z9789819603497
830		▼aLecture Notes in Artificial Intelligence,▼x2945-9141 ;▼v15442
856		▼uhttps://doi.org/10.1007/978-981-96-0348-0
912		▼aZDB-2-SCS
912		▼aZDB-2-SXCS
912		▼aZDB-2-LNC
950		▼aComputer Science (SpringerNature-11645)
950		▼aComputer Science (R0) (SpringerNature-43710)

AI 2024: Advances in Artificial Intelligence[electronic resource] :37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25–29, 2024, Proceedings, Part I /edited by Mingming Gong, Yiliao Song, Yun Sing Koh, Wei Xiang, Derui Wang

종류

전자책

서명

저자명

Gong Mingming. editor Song Yiliao. editor Koh Yun Sing. editor Xiang Wei. editor Wang Derui. editor

판 사항

1st ed. 2025.

형태사항

XX, 412 p 110 illus, 95 illus in color online resource.

주기사항

This two-volume set LNAI 15442-15443 constitutes the refereed proceedings of the 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, held in Melbourne, VIC, Australia, during November 25-29, 2024. The 59 full papers presented together with 3 short papers were carefully reviewed and selected from 108 submissions. Part 1: Knowledge Representation and NLP; Trustworthy and Explainable AI; Machine Learning and Data Mining. Part 2: Reinforcement Learning and Robotics; Learning Algorithms; Computer Vision; AI for Healthcare.

내용주기

/ Knowledge Representation and NLP. / DELA: Dual Embedding Using LSTM and Attention for Asset Tag Inference in Industrial Automation Systems. / Combined Change Operators for Trust and Belief. / Highlighting Case Studies in LLM Literature Review of Interdisciplinary System Science. / Legal Judgment Prediction through Argument Analysis. / Conditional Prototypical Optimal Transport for Enhanced Clue Identification in Multiple Choice Question Answering. / REFINE on Scarce Data: Retrieval Enhancement through Fine-Tuning via Model Fusion of Embedding Models. / Leveraging LLM in Genetic Programming Hyper-Heuristics for Dynamic Microservice Deployment. / Bidirectional Dependency Representation Disentanglement for Time Series Classification. / SCODA - A Framework for Software Capability Representation and Inspection. / Some Considerations for the Preservation of Endangered Languages Using Low-Resource Machine Translation. / Trustworthy and Explainable AI. / Improving Intersectional Group Fairness Using Conditional Generative Adversarial Network and Transfer Learning. / GPT-4 Attempting to Attack AI-Text Detectors. / Charting a Fair Path: FaGGM Fairness-aware Generative Graphical Models. / Shedding Light on Greenwashing: Explainable Machine Learning for Green Ad Detection. / Beyond Factualism: A Study of LLM Calibration through the Lens of Conversational Emotion Recognition. / Ensuring Fairness in Stochastic Multi-Armed Bandit Problems for Effective Group Recommendations. / Human Decision-Making Concepts with Goal-Oriented Reasoning for Explainable Deep Reinforcement Learning. / Towards Explainable Deep Learning for Non-melanoma Skin Cancer Diagnosis. / Machine Learning and Data Mining. / Localization System Enhanced with CDLPE: A Low-Cost, Resilient Map-Matching Algorithm. / FocDepthFormer: Transformer with latent LSTM for Depth Estimation from Focal Stack. / TSI: A Multi-View Representation Learning Approach for Time Series Forecasting. / Climate Downscaling Monthly Coastal Sea Surface Temperature Using Convolutional Neural Network and Composite Loss. / DBSSM: Deep BERT-based Semantic Skill Matching from Resumes to a Public Skill Taxonomy. / Designing an Adaptive AI System for Operation on Board the SpIRIT Nano-satellite. / LSTM Autoencoder-based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction. / An Improved Prescriptive Tree-based Model for Stochastic Parallel Machine Scheduling. / Economic Graph Lottery Ticket: A GNN based Economic Forecasting Model. / Pattern-based Trading by Continual Learning of Price and Volume Patterns. / An Experimental Study on Decomposition-Based Deep Ensemble Learning for Traffic Flow Forecasting.

ISBN

9789819603480

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