Alfred P. Navato’s PhD Dissertation Defense
Title: Enabling Anomaly Detection in Complex Chemical Mixtures Through Multimodal Data Fusion Date: 6/26/2023 Time: 10:00:00 AM Location: SH 210, Committee Members: Prof. Mueller (Advisor) Prof. Erdogmus Prof. Ioannidis Prof. Onnis-Hayden Abstract: Recently innovations in machine learning and data processing are increasingly tied to ensuring useability and interpretability when these methods are applied within end-user […]