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Coles PRICAI 2025: Trends Artificial Intelligence: 22nd Pacific Rim International Conference on Intelligence, 2025, Wellington, New Zealand, November 17-21, Proceedings, Part III at Village Green Shopping Centre in Vernon, BC
PRICAI 2025: Trends Artificial Intelligence: 22nd Pacific Rim International Conference on Intelligence, 2025, Wellington, New Zealand, November 17-21, Proceedings, Part III
PRICAI 2025: Trends Artificial Intelligence: 22nd Pacific Rim International Conference on Intelligence, 2025, Wellington, New Zealand, November 17-21, Proceedings, Part III in Vernon, BC
PRICAI 2025: Trends Artificial Intelligence: 22nd Pacific Rim International Conference on Intelligence, 2025, Wellington, New Zealand, November 17-21, Proceedings, Part III in Vernon, BC
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The five-volume proceedings set LNAI 16451-16455, constitutes the refereed proceedings of the 22nd Pacific Rim International Conference on Artificial Intelligence, PRICAI 2025, held in Wellington, New Zealand, in November 17&21, 2025. The 197 full papers and 89 short papers included in this book were carefully reviewed and selected from 679 submissions. The papers are organized in the following topical sections: Part I:Clustering, Representation Learning, and Learning Systems; Deep learning; Graph learning Part II: Evolutionary Learning, Transfer and Continual Learning; Real-world Applications Part III: Human-Centric AI; Large Language Models Part IV: Interpretability, Fairness, and Trustworthy AI; Multi-Agent; Natural Language Processing; Planning, Scheduling, and Optimisation Part V: Computer Vision; Time Series Analysis
The five-volume proceedings set LNAI 16451-16455, constitutes the refereed proceedings of the 22nd Pacific Rim International Conference on Artificial Intelligence, PRICAI 2025, held in Wellington, New Zealand, in November 17&21, 2025. The 197 full papers and 89 short papers included in this book were carefully reviewed and selected from 679 submissions. The papers are organized in the following topical sections: Part I:Clustering, Representation Learning, and Learning Systems; Deep learning; Graph learning Part II: Evolutionary Learning, Transfer and Continual Learning; Real-world Applications Part III: Human-Centric AI; Large Language Models Part IV: Interpretability, Fairness, and Trustworthy AI; Multi-Agent; Natural Language Processing; Planning, Scheduling, and Optimisation Part V: Computer Vision; Time Series Analysis
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