Record link: 
http://hdl.handle.net/20.500.12708/230081
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Title: 
Hybrid Convolution and Vision Transformer NAS Search Space for TinyML Image Classification
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Citation: 
Djajapermana, M., Reiber, M., Müller-Gritschneder, D., & Schlichtmann, U. (2026). Hybrid Convolution and Vision Transformer NAS Search Space for TinyML Image Classification. In M. Cerrato, D. Kalinauskaitė, M. Lukoševičius, Kristina Šutienė, & M. Pechenizkiy (Eds.), Machine Learning and Principles and Practice of Knowledge Discovery in Databases (pp. 168–179). Springer. http://hdl.handle.net/20.500.12708/230081
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Djajapermana, Mikhael 
Reiber, Moritz 
Müller-Gritschneder, Daniel 
Schlichtmann, Ulf 
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Organisational Unit: 
E191-02 - Forschungsbereich Embedded Computing Systems 
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Published in: 
Machine Learning and Principles and Practice of Knowledge Discovery in Databases 
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ISBN: 
978-3-031-74633-8
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Volume: 
2135
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DOI of the book: 
10.1007/978-3-032-25308-8
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Date (published): 
8-May-2026
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Event name: 
International Workshops of ECML PKDD 2024 
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Event date: 
9-Sep-2024 - 13-Sep-2024
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Event place: 
Vilnius, Lithuania
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Number of Pages: 
12
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Publisher: 
Springer, Cham
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Keywords: 
tinyML; Neural Architecture Search; Vision
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Research Areas: 
Computer Engineering and Software-Intensive Systems: 100%
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Science Branch: 
1020 - Informatik: 50%
2020 - Elektrotechnik, Elektronik, Informationstechnik: 40%
1010 - Mathematik: 10%
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Appears in Collections:
Conference Paper

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