The findings of this work are diverse, with some pertaining to the application context of this dissertation, CTI, and others to machine learning research. We demonstrate the viability and effectiveness of these findings through rigorous experimentation and analysis. Our findings not only shed light on the nuances of these domains but also provide actionable insights and methods that can be applied to enhance the performance and robustness of machine learning models.