209 citations · 651 across the 18 of their papers we have counts for
7 papers · 1 filter
A clustering and graph deep learning-based framework for COVID-19 drug repurposing
Chaarvi Bansal, Rohitash Chandra, Vinti Agarwal +1
Drug repurposing (or repositioning) is the process of finding new therapeutic uses for drugs already approved by drug regulatory authorities (e.g., the Food and Drug Administration…
An analysis of vaccine-related sentiments from development to deployment of COVID-19 vaccines
Rohitash Chandra, Jayesh Sonawane, Janhavi Lande +1
Anti-vaccine sentiments have been well-known and reported throughout the history of viral outbreaks and vaccination programmes. The COVID-19 pandemic had fear and uncertainty about…
Multi-Modal Deep Learning for Credit Rating Prediction Using Text and Numerical Data Streams
Mahsa Tavakoli, Rohitash Chandra, Fengrui Tian +1
Knowing which factors are significant in credit rating assignment leads to better decision-making. However, the focus of the literature thus far has been mostly on structured data,…
A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation
Azal Ahmad Khan, Omkar Chaudhari, Rohitash Chandra
Class imbalance (CI) in classification problems arises when the number of observations belonging to one class is lower than the other. Ensemble learning combines multiple models to…
An evaluation of Google Translate for Sanskrit to English translation via sentiment and semantic analysis
Akshat Shukla, Chaarvi Bansal, Sushrut Badhe +2
Google Translate has been prominent for language translation; however, limited work has been done in evaluating the quality of translation when compared to human experts. Sanskrit…
Deep learning for COVID-19 topic modelling via Twitter: Alpha, Delta and Omicron
Janhavi Lande, Arti Pillay, Rohitash Chandra
Topic modelling with innovative deep learning methods has gained interest for a wide range of applications that includes COVID-19. Topic modelling can provide, psychological, socia…
Recursive deep learning framework for forecasting the decadal world economic outlook
Tianyi Wang, Rodney Beard, John Hawkins +1
The gross domestic product (GDP) is the most widely used indicator in macroeconomics and the main tool for measuring a country's economic output. Due to the diversity and complexit…