IEEE

Evaluating Self-Supervised Learning Models for Multi-Label Pathology Detection: A Benchmark Against Supervised Learning

Abstract: The analysis and objective of the current work is to check the performance of SSL Models in multi-label classification on the available dataset of NIH Chest X-ray images which is a ...
IEEE

Enhancing the Sustainability of Machine Learning-Based Malware Detection Techniques for Android Applications

Abstract: The rapid increase in smartphone usage has led to a corresponding rise in malicious Android applications, making it important to develop efficient and sustainable malware detection methods ...