scholarly journals A data mining approach for multivariate outlier detection in heterogeneous 2D point clouds: An application to post-processing of multi-temporal InSAR results

2016 ◽  
Author(s):  
M. Bakon ◽  
I. Oliveira ◽  
D. Perissin ◽  
J. Sousa ◽  
J. Papco
Keyword(s):  
Data Mining ◽  
Outlier Detection ◽  
Point Clouds ◽  
Post Processing ◽  
Multivariate Outlier Detection ◽  
Data Mining Approach ◽  
Multi Temporal

scholarly journals Multivariate Outlier Detection in Postprocessing of Multi-temporal PS-InSAR Results using Deep Learning

2021 ◽  
Vol 181 ◽  
pp. 1146-1153
Author(s):  
Pedro Aguiar ◽  
António Cunha ◽  
Matus Bakon ◽  
Antonio M. Ruiz-Armenteros ◽  
Joaquim J. Sousa
Keyword(s):  
Deep Learning ◽  
Outlier Detection ◽  
Multivariate Outlier Detection ◽  
Multi Temporal

Data mining approach to construction productivity prediction for cutter suction dredgers

2019 ◽  
Vol 105 ◽  
pp. 102833 ◽  
Author(s):  
Shuo Bai ◽  
Mingchao Li ◽  
Rui Kong ◽  
Shuai Han ◽  
Heng Li ◽  
...  
Keyword(s):  
Data Mining ◽  
Construction Productivity ◽  
Data Mining Approach ◽  
Productivity Prediction
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