Shift-based Segmentation
Shift-Based Segmentation is a workforce segmentation method that classifies employees according to the temporal scheduling of their work hours, distinguishing it from other segmentation approaches by its focus on shift timing as the primary criterion for categorization.
19
Publications
597
Citations
76
Authors
27
Institutions
Publications per year
2017–2026
5
Parents
19
Semantic Image Segmentation with Deep Convolutional Neural Networks and Quick Shift
Sanxing Zhang, Zhenhuan Ma, Gang Zhang et al. · Symmetry · 2020 · 43 citations · Full text
1–5 of 19
76
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1
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1
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1
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1 publications · 22 citations
1
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1–5 of 76
27
RWTH Aachen University
Aachen, Germany
2 h-index
5 publications
110 citations
Wuhan University
Wuhan, China
2 h-index
10 publications
189 citations

University of Twente
Enschede, The Netherlands
2 h-index
6 publications
279 citations
Shandong Institute of Automation
Jinan, China
1 h-index
3 publications
60 citations

Universidad de La Laguna
San Cristóbal de La Laguna, Spain
1 h-index
1 publications
18 citations
Changjiang Water Resources Commission
Wuhan, China
1 h-index
2 publications
36 citations
Pázmány Péter Catholic University
Budapest, Hungary
1 h-index
3 publications
42 citations
Swinburne University of Technology
Melbourne, Australia
1 h-index
1 publications
64 citations
1–8 of 27
1 publications · 28 citations
1
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1 publications · 27 citations
1
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1 publications · 31 citations
1
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JIST · 1 publications · 22 citations
1
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1 publications · 14 citations
1
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1–5