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Debasrita Chakraborty

4 papers hereh-index 5440 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.CV1

identity via Semantic Scholar / OpenAlex

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

21 citations · 23 across the 4 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

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.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…

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