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    <title>AI 2023: Advances in Artificial Intelligence</title>
    <subTitle>36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, November 28–December 1, 2023, Proceedings, Part I</subTitle>
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    <namePart>Liu, Tongliang.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
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    <extent>XXII, 560 p. 170 illus., 158 illus. in color. online resource.</extent>
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  <abstract>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. .</abstract>
  <note type="statement of responsibility">edited by Tongliang Liu, Geoff Webb, Lin Yue, Dadong Wang.</note>
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    <topic>Artificial intelligence</topic>
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    <topic>Computer networks </topic>
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    <topic>Data mining</topic>
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  <subject authority="lcsh">
    <topic>Computer vision</topic>
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    <topic>Artificial Intelligence</topic>
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    <topic>Computer Communication Networks</topic>
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  <subject>
    <topic>Data Mining and Knowledge Discovery</topic>
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  <subject>
    <topic>Computer Vision</topic>
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      <title>Lecture Notes in Artificial Intelligence, 14471</title>
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  <identifier type="isbn">9789819983889</identifier>
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