Explores learning latent models in graphical structures, focusing on scenarios with incomplete samples and introducing the notion of distance among variables.
Explores variable selection through filtering and correlation methods in machine learning, emphasizing relevance quantification and relationship measurement with the label.
Explores corals as proxies for past climate, focusing on their geochemical variables and precision, using microanalytical tools and evaluating trace-element chemistry differences.
