A Comparison Between Classification Algorithms for Postmenopausal Osteoporosis Prediction in Tunisian Population

Comparison between the Mean-Shift and Spectral Clustering Algorithms for the Classification of Earthen Construction Materials in Essaouira

A Comparison Between Decision Transformers and Traditional Offline Reinforcement Learning Algorithms

The field of Offline Reinforcement Learning (RL) aims to derive effective policies from pre-collecte

Patient Deduplication in Uganda’s Electronic Medical Records System: A comparison of Three Classification Algorithms

Background: Duplicate patient records pose a significant challenge to healthcare

A Comparison of Topic Modeling and Classification Machine Learning Algorithms on Luganda Data

Extracting functional themes and topics from a large text corpus manually is usually infeasible. There is a need to build text mining techniques such as topic modeling, which provide a mechanism to infer topics from a corpus of text automatically. This paper discus

Machine learning algorithms for prediction of double burden of malnutrition among Tunisian adults

Abstract Background Malnutrition, referring

Tokenization of Tunisian Arabic: A Comparison between Three Machine Learning Models

Tokenization represents the way of segmenting a piece of text into smaller units called tokens. Sinc