AI 2023: Advances in Artificial Intelligence [electronic resource] : 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, November 28-December 1, 2023, Proceedings, Part I / edited by Tongliang Liu, Geoff Webb, Lin Yue, Dadong Wang.
Contributor(s): Liu, Tongliang [editor.]
| Webb, Geoff [editor.] | Yue, Lin [editor.] | Wang, Dadong [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Artificial Intelligence: 14471Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024.Description: XXII, 560 p. 170 illus., 158 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789819983889.Subject(s): 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 VisionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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Springer Nature eBookSummary: This two-volume set LNAI 14471-14472 constitutes the refereed proceedings of the 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, held in Brisbane, QLD, Australia during November 28 - December 1, 2023. The 23 full papers presented together with 59 short papers were carefully reviewed and selected from 213 submissions. They are organized in the following topics: computer vision; deep learning; machine learning and data mining; optimization; medical AI; knowledge representation and NLP; explainable AI; reinforcement learning; and genetic algorithm. .
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This two-volume set LNAI 14471-14472 constitutes the refereed proceedings of the 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, held in Brisbane, QLD, Australia during November 28 - December 1, 2023. The 23 full papers presented together with 59 short papers were carefully reviewed and selected from 213 submissions. They are organized in the following topics: computer vision; deep learning; machine learning and data mining; optimization; medical AI; knowledge representation and NLP; explainable AI; reinforcement learning; and genetic algorithm. .
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