Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15154)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: ANNPR 2024.
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About this book
This book constitutes the refereed proceedings of the 11th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2024, held in Montreal, QC, Canada, during October 10–12, 2024.
The 27 full papers presented together were carefully reviewed and selected from 46 submissions. The conference focuses on: learning algorithms and architectures; applications in medical and health sciences; applications in computer vision; applications in NLP, speech, and music; applications in environmental and biological sciences.
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Table of contents (27 papers)
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Front Matter
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Learning Algorithms and Architectures
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Front Matter
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Applications in Medical and Health Sciences
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Front Matter
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Applications in Computer Vision
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Front Matter
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Other volumes
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Artificial Neural Networks in Pattern Recognition
Editors and Affiliations
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Bibliographic Information
Book Title: Artificial Neural Networks in Pattern Recognition
Book Subtitle: 11th IAPR TC3 Workshop, ANNPR 2024, Montreal, QC, Canada, October 10–12, 2024, Proceedings
Editors: Ching Yee Suen, Adam Krzyzak, Mirco Ravanelli, Edmondo Trentin, Cem Subakan, Nicola Nobile
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-71602-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0), Springer Nature Proceedings Computer Science
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Softcover ISBN: 978-3-031-71601-0Published: 19 September 2024
eBook ISBN: 978-3-031-71602-7Published: 18 September 2024
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 334
Number of Illustrations: 19 b/w illustrations, 81 illustrations in colour
Topics: Artificial Intelligence, Computers and Education, Data Mining and Knowledge Discovery, Computer Applications, Image Processing and Computer Vision
