In this paper, we address the challenging problem of learning to rank from highly
imbalanced data. This scenario requires to resort to specific metrics able to account the …

Several industries and sectors such as health care, agriculture, and finance exploit the
added value of data to produce valuable insights for decision-making. The case of so …

Recent advances in a generative neural network model extend the development of data
augmentation methods. However, the augmentation methods based on the modern …

This study explores the possibility to improve students' math proficiency prediction with a
multi-class neural network model by augmenting the training dataset with synthetic data. The …

In this paper, a Diffusion Multi-step Classifier (DMC) is proposed to address the imbalance
issue in credit prediction. DMC utilizes a Diffusion Model to generate continuous numerical …

Among the missions of the General Direction of Public Finance, there are the calculation of
taxes, the control of tax returns and the collection of public revenues. However, some …