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Meta-Learning Techniques to Analyze the Raman Data for Opti..:
, In:
2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)
,
Sharma, Mukta
;
Sharma, Lokesh
;
Jeng, Ming-Jer
... - p. 644-647 , 2019
Link:
https://doi.org/10.1109/IUCC/DSCI/SmartCNS.2019.00134
RT T1 <cTitle>2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)</cTitle>: T1 <Title>Meta-Learning Techniques to Analyze the Raman Data for Optical Diagnosis of Oral Cancer Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8982720&Exemplar=1&LAN=DE A1 Sharma, Mukta A1 Sharma, Lokesh A1 Jeng, Ming-Jer A1 Chang, Liann-Be A1 Huang, Shiang-Fu A1 Wu, Shih-Lin YR 2019 K1 Raman spectroscopy, LDA, QDA, AdaBoost, Meta-learning, Bagging, Boosting SP 644 OP 647 LK http://dx.doi.org/https://doi.org/10.1109/IUCC/DSCI/SmartCNS.2019.00134 DO https://doi.org/10.1109/IUCC/DSCI/SmartCNS.2019.00134 SF ELIB - SuUB Bremen
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