[HTML][HTML] Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects
Drug discovery and development is a time-consuming process that involves identifying,
designing, and testing new drugs to address critical medical needs. In recent years, machine …
designing, and testing new drugs to address critical medical needs. In recent years, machine …
Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions
ID Mienye, N Jere - IEEE Access, 2024 - ieeexplore.ieee.org
Deep learning (DL), a branch of machine learning (ML), is the core technology in today's
technological advancements and innovations. Deep learning-based approaches are the …
technological advancements and innovations. Deep learning-based approaches are the …
[HTML][HTML] A deep learning approach for Maize Lethal Necrosis and Maize Streak Virus disease detection
T O'Halloran, G Obaido, B Otegbade… - Machine Learning with …, 2024 - Elsevier
Maize is an important crop cultivated in Sub-Saharan Africa, essential for food security.
However, its cultivation faces significant challenges due to debilitating diseases such as …
However, its cultivation faces significant challenges due to debilitating diseases such as …
An Improved Framework for Detecting Thyroid Disease using Filter-based Feature Selection and Stacking Ensemble
In recent years, machine learning (ML) has become a pivotal tool for predicting and
diagnosing thyroid disease. While many studies have explored the use of individual ML …
diagnosing thyroid disease. While many studies have explored the use of individual ML …
[HTML][HTML] Optimized Ensemble Learning Approach with Explainable AI for Improved Heart Disease Prediction
ID Mienye, N Jere - Information, 2024 - mdpi.com
Recent advances in machine learning (ML) have shown great promise in detecting heart
disease. However, to ensure the clinical adoption of ML models, they must not only be …
disease. However, to ensure the clinical adoption of ML models, they must not only be …
A Survey of Decision Trees: Concepts, Algorithms, and Applications
ID Mienye, N Jere - IEEE Access, 2024 - ieeexplore.ieee.org
Machine learning (ML) has been instrumental in solving complex problems and significantly
advancing different areas of our lives. Decision tree-based methods have gained significant …
advancing different areas of our lives. Decision tree-based methods have gained significant …