CEAUL

Hands-On Machine Learning In Ecology

This event started as a desire from CEAUL to provide machine learning training to its members, and has slowly but steadily evolved into a workshop coined “Hands-on machine learning in ecology”. It is a free event, organized an run by kind folks donating their time to do so. We invited Carl Donovan (CREEM), Ian Durbach (CREEM) and Emmanuel Dufourq (Stellenbosch University) to deliver the hands-on component, and then invited a number of researchers to provide talks on applications on ML.

Development and assessment of risk models for interval-censored events post kidney transplant using the variability of a longitudinal biomarker

Seminário conjunto do Centro de Estatística e Aplicações da Universidade de Lisboa e do Centro de Matemática Computacional e Estocástica, por Kristen Campbell (University of Colorado Anschutz Medical Campus, USA).

Modelling and prediction in recurrent time-to-event sports injury data: a penalized Cox regression approach

Seminário conjunto do Centro de Estatística e Aplicações da Universidade de Lisboa e do Centro de Matemática Computacional e Estocástica, por Dae-Jin Lee (BCAM - Basque Center for Applied Statistics / Pontificia Universidad Católica de Chile - UC, Departamento de Ecología).

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