126 citations · 137 across the 4 of their papers we have counts for
3 papers · 1 filter
Neural Network Architecture for Database Augmentation Using Shared Features
William C. Sleeman, Rishabh Kapoor, Preetam Ghosh
The popularity of learning from data with machine learning and neural networks has lead to the creation of many new datasets for almost every problem domain. However, even within a…
Multimodal Classification: Current Landscape, Taxonomy and Future Directions
William C. Sleeman, Rishabh Kapoor, Preetam Ghosh
Multimodal classification research has been gaining popularity in many domains that collect more data from multiple sources including satellite imagery, biometrics, and medicine. H…
Imbalanced Big Data Oversampling: Taxonomy, Algorithms, Software, Guidelines and Future Directions
William C. Sleeman, Bartosz Krawczyk
Learning from imbalanced data is among the most challenging areas in contemporary machine learning. This becomes even more difficult when considered the context of big data that ca…