4 papers
Does Explainability Survive Data Drift?
Samuel Ozechi
Model performance monitoring is a standard practice in machine learning deployments. Detection performance is tracked continuously, and model decay is expected as the relationship…
Comparative Evaluation of Modern Deep Learning Methodologies for Portfolio Optimization
Samuel Ozechi, Banjo Francis, Wisdom Yakanu +1
This study proposes a portfolio optimization framework that integrates advanced deep learning architectures with traditional financial models to enhance risk-adjusted performance.…
Explainable Threat Attribution for IoT Networks Using Conditional SHAP and Flow Behavior Modelling
Samuel Ozechi, Jennifer Okonkwoabutu
As the Internet of Things (IoT) continues to expand across critical infrastructure, smart environments, and consumer devices, securing them against cyber threats has become increas…
African Gender Classification Using Clothing Identification Via Deep Learning
Samuel Ozechi
Human attribute identification and classification are crucial in computer vision, driving the development of innovative recognition systems. Traditional gender classification metho…