2 citations · 3 across the 3 of their papers we have counts for
3 papers · 1 filter
RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis
Mohammad Esmaeilpour, Nourhene Chaalia, Adel Abusitta +3
This paper introduces a novel generative adversarial network (GAN) for synthesizing large-scale tabular databases which contain various features such as continuous, discrete, and b…
On the Effectiveness of Interpretable Feedforward Neural Network
Miles Q. Li, Benjamin C. M. Fung, Adel Abusitta
Deep learning models have achieved state-of-the-art performance in many classification tasks. However, most of them cannot provide an interpretation for their classification result…
Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems
Adel Abusitta, Esma Aïmeur, Omar Abdel Wahab
In this paper, we propose a new framework for mitigating biases in machine learning systems. The problem of the existing mitigation approaches is that they are model-oriented in th…