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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 / edited by Mingming Gong, Yiliao Song, Yun Sing Koh, Wei Xiang, Derui Wang.
Springer Nature - Springer Computer Science (R0) eBooks 2025 English International Available online
View online- Format:
- Book
- Author/Creator:
- Gong, Mingming.
- Series:
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 15442
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computer networks.
- Data mining.
- Application software.
- Computer vision.
- Artificial Intelligence.
- Computer Communication Networks.
- Data Mining and Knowledge Discovery.
- Computer and Information Systems Applications.
- Computer Vision.
- Local Subjects:
- Artificial Intelligence.
- Computer Communication Networks.
- Data Mining and Knowledge Discovery.
- Computer and Information Systems Applications.
- Computer Vision.
- Physical Description:
- 1 online resource (426 pages)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
- Summary:
- 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.
- Contents:
- 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9789819603480
- 981960348X
- OCLC:
- 1474243731
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