3 papers
cs.LG2025
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
Alhassan Mumuni, Fuseini Mumuni
Data augmentation is arguably the most important regularization technique commonly used to improve generalization performance of machine learning models. It primarily involves the…
cs.LG2025
Explainable artificial intelligence (XAI): from inherent explainability to large language models
Fuseini Mumuni, Alhassan Mumuni
Artificial Intelligence (AI) has continued to achieve tremendous success in recent times. However, the decision logic of these frameworks is often not transparent, making it diffic…
cs.AI2025
Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches
Alhassan Mumuni, Fuseini Mumuni
Generative artificial intelligence (AI) systems based on large-scale pretrained foundation models (PFMs) such as vision-language models, large language models (LLMs), diffusion mod…