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PRICAI 2025: Trends in Artificial Intelligence - Yi Mei, Chao Qian, Quan Bai, Bing Xue & Sankalp Khanna

By Yi Mei, Chao Qian, Quan Bai, Bing Xue & Sankalp Khanna

Release Date: 2026-02-22

Genre: Computers & Internet

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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

PRICAI 2025: Trends in Artificial Intelligence - Yi Mei, Chao Qian, Quan Bai, Bing Xue & Sankalp Khanna

By Yi Mei, Chao Qian, Quan Bai, Bing Xue & Sankalp Khanna

Release Date: 2026-02-22

Genre: Computers & Internet

(0 ratings)
Read Download
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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