most citedImproving the Robustness of Federated Learning for Severely Imbalanced Datasets

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2022

Autoencoder based Hybrid Multi-Task Predictor Network for Daily Open-High-Low-Close Prices Prediction of Indian Stocks

Debasrita Chakraborty, Susmita Ghosh, Ashish Ghosh

Stock prices are highly volatile and sudden changes in trends are often very problematic for traditional forecasting models to handle. The standard Long Short Term Memory (LSTM) ne…

cs.LG2022★ 2 cited

Improving the Robustness of Federated Learning for Severely Imbalanced Datasets

Debasrita Chakraborty, Ashish Ghosh

With the ever increasing data deluge and the success of deep neural networks, the research of distributed deep learning has become pronounced. Two common approaches to achieve this…

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,…