Expert-Informed, User-Centric Explanations for Image Classification with Deep Learning
Explore expert-informed, user-centric explanations for image classification using deep learning in this 51-minute talk by Michael Pazzani from USC Information Sciences Institute. Delve into a novel approach that labels image regions with diagnostic features, addressing the limitations of heatmap annotations for users unfamiliar with deep learning. Examine the challenge of rare features in learning, the use of multiple models to improve region identification accuracy, and applications in radiology, ophthalmology, dermatology, and bird classification. Learn about the speaker's extensive background in research, academia, and government roles, including his current position as Principal Scientist at USC's Information Sciences Institute and his appointment to the Defense Science Board.