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

no code implementations • 28 Apr 2022 • Debasrita Chakraborty, Susmita Ghosh, Ashish Ghosh

But, these models fail to handle sudden and drastic changes in the price trend.

Improving the Robustness of Federated Learning for Severely Imbalanced Datasets

no code implementations • 28 Apr 2022 • Debasrita Chakraborty, Ashish Ghosh

There may also arise global class imbalance situations like that of outlier detection where the local servers receive severely imbalanced data and may not get any samples from the minority class.

Federated Learning imbalanced classification +1

Unsupervised Change Detection in Hyperspectral Images using Feature Fusion Deep Convolutional Autoencoders

no code implementations • 10 Sep 2021 • 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.

Change Detection

Transfer-Recursive-Ensemble Learning for Multi-Day COVID-19 Prediction in India using Recurrent Neural Networks

no code implementations • 20 Aug 2021 • Debasrita Chakraborty, Debayan Goswami, Susmita Ghosh, Ashish Ghosh, Jonathan H. Chan

This method with two countries, Spain and Brazil, is seen to achieve the best performance amongst all the combinations as well as compared to other traditional regression models.

Ensemble Learning Transfer Learning