1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2021
Improved Multi-label Classification with Frequent Label-set Mining and Association
Anwesha Law, Ashish Ghosh
Multi-label (ML) data deals with multiple classes associated with individual samples at the same time. This leads to the co-occurrence of several classes repeatedly, which indicate…
cs.CV2021
Unsupervised Change Detection in Hyperspectral Images using Feature Fusion Deep Convolutional Autoencoders
Debasrita Chakraborty, Ashish Ghosh
Binary change detection in bi-temporal co-registered hyperspectral images is a challenging task due to a large number of spectral bands present in the data. Researchers, therefore,…
cs.LG2021★ 1 cited
Integration of Autoencoder and Functional Link Artificial Neural Network for Multi-label Classification
Anwesha Law, Ashish Ghosh
Multi-label (ML) classification is an actively researched topic currently, which deals with convoluted and overlapping boundaries that arise due to several labels being active for…