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 /
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 a...
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| Natura: | Elettronico eBook |
| Lingua: | inglese |
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Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
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| Edizione: | 1st ed. 2025. |
| Serie: | Lecture Notes in Artificial Intelligence,
15442 |
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| Accesso online: | https://doi.org/10.1007/978-981-96-0348-0 |
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| 245 | 1 | 0 | |a AI 2024: Advances in Artificial Intelligence |h [electronic resource] : |b 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25–29, 2024, Proceedings, Part I / |c edited by Mingming Gong, Yiliao Song, Yun Sing Koh, Wei Xiang, Derui Wang. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Singapore : |b Springer Nature Singapore : |b Imprint: Springer, |c 2025. | |
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| 490 | 1 | |a Lecture Notes in Artificial Intelligence, |x 2945-9141 ; |v 15442 | |
| 505 | 0 | |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 | |a 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. | ||
| 588 | |a Print version record. | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Computer networks . | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Application software. | |
| 650 | 0 | |a Computer vision. | |
| 650 | 1 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Computer Communication Networks. |
| 650 | 2 | 4 | |a Data Mining and Knowledge Discovery. |
| 650 | 2 | 4 | |a Computer and Information Systems Applications. |
| 650 | 2 | 4 | |a Computer Vision. |
| 700 | 1 | |a Gong, Mingming. |e editor. |0 (orcid)0000-0001-7147-5589 |1 https://orcid.org/0000-0001-7147-5589 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Song, Yiliao. |e editor. |0 (orcid)0000-0002-6633-2695 |1 https://orcid.org/0000-0002-6633-2695 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Koh, Yun Sing. |e editor. |0 (orcid)0000-0001-7256-4049 |1 https://orcid.org/0000-0001-7256-4049 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Xiang, Wei. |e editor. |0 (orcid)0000-0002-0608-065X |1 https://orcid.org/0000-0002-0608-065X |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Wang, Derui. |e editor. |0 (orcid)0000-0003-1388-7715 |1 https://orcid.org/0000-0003-1388-7715 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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