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AI 2024advances in artificial intelligence : 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25-29, 2024 : proceedings.Part I /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	AI 2024edited by Mingming Gong ... [et al.].
其他題名:	advances in artificial intelligence : 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25-29, 2024 : proceedings.
其他作者:	Gong, Mingming.
團體作者:
出版者:	Singapore :Springer Nature Singapore :2025.
面頁冊數:	xx, 412 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence
電子資源:	https://doi.org/10.1007/978-981-96-0348-0
ISBN:	9789819603480$q(electronic bk.)

AI 2024advances in artificial intelligence : 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25-29, 2024 : proceedings.Part I /
AI 2024advances in artificial intelligence : 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25-29, 2024 : proceedings.Part I /[electronic resource] :edited by Mingming Gong ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xx, 412 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,154421611-3349 ;. - Lecture notes in computer science ;4891..

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.

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.

ISBN: 9789819603480$q(electronic bk.)

Standard No.: 10.1007/978-981-96-0348-0doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

AI 2024advances in artificial intelligence : 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25-29, 2024 : proceedings.Part I /
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