Benchmarking Transfer Learning Strategies in Time-Series Imaging : Recommendations for Analyzing Raw Sensor Data

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00006890
URN to cite this document: urn:nbn:de:bvb:703-epub-6890-8

Title data

Gross, Jan ; Büttner, Ricardo ; Baumgartl, Hermann:
Benchmarking Transfer Learning Strategies in Time-Series Imaging : Recommendations for Analyzing Raw Sensor Data.
In: IEEE Access. Vol. 10 (2022) . - pp. 16977-16991.
ISSN 2169-3536
DOI der Verlagsversion: https://doi.org/10.1109/ACCESS.2022.3148711

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Further data

Item Type:	Article in a journal
Keywords:	Benchmarking; deep learning; machine learning; sensor data; time-series imaging; transfer learning
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics
Institutions of the University:	Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVIII - Information Systems Management and Data Science > Chair Business Administration XVIII - Information Systems Management and Data Science - Univ.-Prof. Dr. Ricardo Büttner Faculties Faculties > Faculty of Law, Business and Economics Faculties > Faculty of Law, Business and Economics > Department of Business Administration Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVIII - Information Systems Management and Data Science
Language:	English
Originates at UBT:	Yes
URN:	urn:nbn:de:bvb:703-epub-6890-8
Date Deposited:	15 Mar 2023 09:53
Last Modified:	19 Mar 2024 10:09
URI:	https://epub.uni-bayreuth.de/id/eprint/6890

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