With the continuous development of the credit industry, the competition and challenges
faced by credit institutions, including various online lending platforms and banks, are …

The aim of the study was to explore the machine learning and artificial intelligence algorithm
needed to detect healthcare financial statement anomalies. Traditional fraud detection …

Nowadays, information technology especially machine learning has been used to evaluate
the feasibility of debtors. One of the challenges in this classification model is the occurrence …

Machine Learning (ML) has been increasingly used in credit analysis, also known as credit
scoring. However, the vast majority of articles focus on ML techniques and do not delve into …

Low-quality listings and bad actor behavior in online retail websites threatens e-commerce
business as these result in sub-optimal buying experience and erode customer trust. When …

The goal of this study is to evaluate the feasibility of using an electronic nose for the quality-
based classification of two varieties of tomatoes, Tounvi and Akikon, mostly cultivated in …

With the digital transformation over the years and the recent expansion made possible by
the use of different applications, it can been seen the diversification of payments by …

Data mining and Machine learning are the emerging technologies that are rapidly spreading
in every field of life due to their beneficial aspects. The financial sector also makes use of …

Intelligence artificielle et modélisation du risque de crédit Page 1 Intelligence artificielle et
modélisation du risque de crédit Karim Amzile Collection L’ESPRIT ÉCONOMIQUE SÉRIE …