The problem of misclassification has always been a major concern in detecting online credit
card fraud in e-commerce systems. This concern greatly poses a significant challenge to …

Supervised methods are increasingly used to identify cell populations in single-cell data.
Yet, current methods are limited in their ability to learn from multiple datasets …

The recent developments in soft computing cannot be complete without noting the
contributions of artificial neural machine learning systems that draw inspiration from real …

We propose a novel regularizer for supervised learning called Conditioning on Noisy
Targets (CNT). This approach consists in conditioning the model on a noisy version of the …

Results Hierarchical progressive learning of cell identities. We developed scHPL, a
hierarchical progressive learning approach to learn a classification tree using multiple …

The problem of misclassification has always been a major concern in detecting online credit
card fraud in e-commerce systems. This concern greatly poses a significant challenge to …