In this paper, we introduce an unsupervised machine learning method for production frontier estimation. This new …

adoption of financial technology in Nigeria during the pandemic. A machine learning (ML) approach was implemented to examine …

proposition are limited. To address this gap in the literature, this study employs machine learning techniques, specifically …

machine learning. We propose a novel adjusted learning algorithm based on peak price tracking for OLPS to tackle this …

possible. With the recent advances in machine learning and deep learning research, especially in natural language processing … machine learning and zero-shot classification methods for automated abstract screening for systematic reviews. Extensive …

their intention to repeat the experience by using two staged hybrid PLS-SEM and Machine Learning approaches. The finding … establish the link with repeat experience. The machine learning models (Artificial Neural Network, Support Vector Machines …

data science and machine learning, various algorithms have been developed to determine whether a transaction is fraudulent …. We study the performance of three different machine learning models: logistic regression, random forest, and decision … detecting fraudulent credit card transactions. Thus, we recommend random forest as the most appropriate machine learning …