AI 2024: Advances in Artificial Intelligence

37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25–29, 2024, Proceedings, Part I

Häftad, Engelska, 2024

Av Mingming Gong, Yiliao Song, Yun Sing Koh, Wei Xiang, Derui Wang

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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.

Produktinformation

Utgivningsdatum2024-11-24
Mått155 x 235 x 24 mm
Vikt651 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Artificial Intelligence
Antal sidor412
FörlagSpringer Nature Switzerland AG
ISBN9789819603473

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Tillämpad datateknik inom Data och it
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.- 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.