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Error-Correcting Output Codes in the Framework of Deep Ordinal Classification
(Springer, 2022)
Automatic classification tasks on structured data have been revolutionized by Convolutional Neural Networks (CNNs), but the focus has been on binary and nominal classification tasks. Only recently, ordinal classification ...
Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds
(MDPI, 2024)
Recent advances in Deep Learning and aerial Light Detection And Ranging (LiDAR) have offered the possibility of refining the classification and segmentation of 3D point clouds to contribute to the monitoring of complex ...