209 citations · 651 across the 18 of their papers we have counts for
3 papers · 2 filters
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…
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…