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1
Trend Training Based RNN for Human Induced Pluripotent Stem..:
, In:
2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE)
,
Chu, Slo-Li
;
Sung, Shao-Yu
;
Tsai, Ming-Dar
... - p. 140-146 , 2020
Link:
https://doi.org/10.1109/BIBE50027.2020.00031
RT T1 <cTitle>2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE)</cTitle>: T1 <Title>Trend Training Based RNN for Human Induced Pluripotent Stem Cell Reprogramming Prediction Using Time-Lapse Microscopy Images</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9288125&Exemplar=1&LAN=DE A1 Chu, Slo-Li A1 Sung, Shao-Yu A1 Tsai, Ming-Dar A1 Abe, Kuniya A1 Sudo, Kazuhiro A1 Nakamura, Yukio A1 Yokota, Hideo YR 2020 SN 2471-7819 K1 Training K1 Recurrent neural networks K1 Shape K1 Microscopy K1 Morphology K1 Market research K1 Feeds K1 time series prediction K1 recurrent neural network K1 pre-training K1 trend based training K1 human iPS cell reprogramming SP 140 OP 146 LK http://dx.doi.org/https://doi.org/10.1109/BIBE50027.2020.00031 DO https://doi.org/10.1109/BIBE50027.2020.00031 SF ELIB - SuUB Bremen
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