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Found 3 papers, 2 papers with code
Neural Network Architecture for Database Augmentation Using Shared Features
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.
Multimodal Classification: Current Landscape, Taxonomy and Future Directions
Multimodal classification research has been gaining popularity in many domains that collect more data from multiple sources including satellite imagery, biometrics, and medicine.
Imbalanced Big Data Oversampling: Taxonomy, Algorithms, Software, Guidelines and Future Directions
This allows us to gain insight into the usefulness of specific components of oversampling algorithms for big data, as well as formulate guidelines and recommendations for designing future resampling approaches for massive imbalanced data.
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