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Machine Learning improvements to the accuracy of predicting..:
, In:
2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)
,
Huang, George
;
Cheng, Andrew
;
Gao, Yujie
- p. 553-566 , 2022
Link:
https://doi.org/10.1109/ICICML57342.2022.10009881
RT T1 <cTitle>2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)</cTitle>: T1 <Title>Machine Learning improvements to the accuracy of predicting Specific Language Impairment</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10009881&Exemplar=1&LAN=DE A1 Huang, George A1 Cheng, Andrew A1 Gao, Yujie YR 2022 K1 Analytical models K1 Machine learning algorithms K1 Runtime K1 Computational modeling K1 Forestry K1 Big Data K1 Prediction algorithms K1 Specific Language Impairment K1 Imbalanced data K1 AUC (F1 and Recall) Scores K1 Logistic regression model K1 AdaBoost model K1 Random Forest model K1 BPNN model K1 Principal Component Analysis SP 553 OP 566 LK http://dx.doi.org/https://doi.org/10.1109/ICICML57342.2022.10009881 DO https://doi.org/10.1109/ICICML57342.2022.10009881 SF ELIB - SuUB Bremen
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