activity
20182023
most citedTransfer-Recursive-Ensemble Learning for Multi-Day COVID-19 Prediction in India using Recurrent Neural Networks

21 citations · 26 across the 7 of their papers we have counts for

collaborators

7 papers

eess.IV2023★ 2 cited

Automated COVID-19 CT Image Classification using Multi-head Channel Attention in Deep CNN

Susmita Ghosh, Abhiroop Chatterjee

The rapid spread of COVID-19 has necessitated efficient and accurate diagnostic methods. Computed Tomography (CT) scan images have emerged as a valuable tool for detecting the dise…

cs.CV2023★ 1 cited

Introducing Feature Attention Module on Convolutional Neural Network for Diabetic Retinopathy Detection

Susmita Ghosh, Abhiroop Chatterjee

Diabetic retinopathy (DR) is a leading cause of blindness among diabetic patients. Deep learning models have shown promising results in automating the detection of DR. In the prese…

cs.CV2023

Transfer-Ensemble Learning based Deep Convolutional Neural Networks for Diabetic Retinopathy Classification

Susmita Ghosh, Abhiroop Chatterjee

This article aims to classify diabetic retinopathy (DR) disease into five different classes using an ensemble approach based on two popular pre-trained convolutional neural network…

eess.IV2023★ 2 cited

T-Fusion Net: A Novel Deep Neural Network Augmented with Multiple Localizations based Spatial Attention Mechanisms for Covid-19 Detection

Susmita Ghosh, Abhiroop Chatterjee

In recent years, deep neural networks are yielding better performance in image classification tasks. However, the increasing complexity of datasets and the demand for improved perf…

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.LG2021★ 21 cited

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

Debasrita Chakraborty, Debayan Goswami, Susmita Ghosh +2

The current COVID-19 pandemic has put a huge challenge on the Indian health infrastructure. With more and more people getting affected during the second wave, the hospitals were ov…

cs.CV2018

RelDenClu: A Relative Density based Biclustering Method for identifying non-linear feature relations

Namita Jain, Susmita Ghosh, C. A. Murthy

The existing biclustering algorithms for finding feature relation based biclusters often depend on assumptions like monotonicity or linearity. Though a few algorithms overcome this…