“Contextualized learning for adaptive yet persistent AI in biomedicine” | Ben Lengerich
Computer Science & Engineering Building (CSE), Room 1202Abstract: "In biomedical data analysis, an emerging trend focuses on contextualizing observations within biological and real-world processes. This approach facilitates high-resolution, context-specific insights by integrating information across datasets, but it is difficult to design systems which both share information and dynamically adapt to context. Toward this aim, this presentation will examine “contextualized learning”, a meta-learning […]