AI Seminar Series 2021: Roberto Vega Romero

The AI Seminar is a weekly meeting at the University of Alberta where researchers interested in artificial intelligence (AI) can share their research. Presenters include both local speakers from the University of Alberta and visitors from other institutions. Topics can be related in any way to artificial intelligence, from foundational theoretical work to innovative applications of AI techniques to new fields and problems.

On July 16, Amii’s Roberto Vega Romero, PhD candidate at the University of Alberta, presented “Probabilistic Labels for classification tasks in medical images" at the AI Seminar.

Deep learning approaches often require huge datasets to achieve good generalization. This complicates its use in tasks like image-based medical diagnosis, where the small training datasets are usually insufficient to learn appropriate data representations. To compensate for the scarcity in data, this talk proposes to provide more information per training instance in the form of probabilistic labels, which encode medical expert knowledge and are calibrated, allowing the interpretation of its predictions as proper probabilities.

Watch the full presentation below:

Keep up-to-date on the AI Seminar Series by signing up for the mailing list.

Learn how Amii advances world-leading artificial intelligence and machine learning research: visit our Research page.