Novel transfer learning schemes based on Siamese networks and synthetic data
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2023
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Online Access: | https://link.springer.com/article/10.1007/s00521-022-08115-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7341 |
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oai:localhost:PNK-73412023-03-30T08:10:15Z Novel transfer learning schemes based on Siamese networks and synthetic data Philip, Kenneweg Dominik, Stallmann Barbara, Hammer Transfer learning schemes CHO-K1 suspension growth CC BY Transfer learning schemes based on deep networks which have been trained on huge image corpora offer state-of-the-art technologies in computer vision. Here, supervised and semi-supervised approaches constitute efficient technologies which work well with comparably small data sets. Yet, such applications are currently restricted to application domains where suitable deep network models are readily available. In this contribution, we address an important application area in the domain of biotechnology, the automatic analysis of CHO-K1 suspension growth in microfluidic single-cell cultivation, where data characteristics are very dissimilar to existing domains and trained deep networks cannot easily be adapted by classical transfer learning. 2023-03-30T08:10:15Z 2023-03-30T08:10:15Z 2023 Book https://link.springer.com/article/10.1007/s00521-022-08115-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7341 en application/pdf Springer |
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English |
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Transfer learning schemes CHO-K1 suspension growth |
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Transfer learning schemes CHO-K1 suspension growth Philip, Kenneweg Dominik, Stallmann Barbara, Hammer Novel transfer learning schemes based on Siamese networks and synthetic data |
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CC BY |
format |
Book |
author |
Philip, Kenneweg Dominik, Stallmann Barbara, Hammer |
author_facet |
Philip, Kenneweg Dominik, Stallmann Barbara, Hammer |
author_sort |
Philip, Kenneweg |
title |
Novel transfer learning schemes based on Siamese networks and synthetic data |
title_short |
Novel transfer learning schemes based on Siamese networks and synthetic data |
title_full |
Novel transfer learning schemes based on Siamese networks and synthetic data |
title_fullStr |
Novel transfer learning schemes based on Siamese networks and synthetic data |
title_full_unstemmed |
Novel transfer learning schemes based on Siamese networks and synthetic data |
title_sort |
novel transfer learning schemes based on siamese networks and synthetic data |
publisher |
Springer |
publishDate |
2023 |
url |
https://link.springer.com/article/10.1007/s00521-022-08115-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7341 |
_version_ |
1761821914826801152 |
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8.891053 |