Blog
2024
On July 25, 2024, Mira presented her paper “Is Epistemic Uncertainty faithfully represented by Evidential Deep Learning methods?” at ICML. The link to the pdf and a short presentation can be found here.
On April 25, 2024, Nicolas Dewolf successfully defended his Ph.D. thesis “A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning” and was awarded the title of Doctor of Bioscience Engineering: Mathematical Modelling. Nicolas was supervised by Bernard De Baets and Willem Waegeman. His research was sponsored by the Flanders AI Research Program. . The slides for the presentation can be found here.
A framework for tracing timber following Ukraine invasion
BioML lab uses innovative scientific methods in the fight against illegal timber trade! By combining Gaussian processes and statistics, researchers, including dr. ir. Thomas Mortier and prof. dr. Willem Waegeman, were able to create a robust framework to verify the legality of wood. This not only allows verifying origin of wood, but also enables sustainable forest management. Their work has been published in the prestiguous journal Nature Plants and played a pivotal role in a recent Belgian investigation into Russian wood-based panel imports.
PhD degree for Laure Van Den Bulcke
On January 19th Laure Van Den Bulcke defended her PhD thesis with title “Optimizing DNA metabarcoding and machine learning for advanced impact assessments in the North Sea: a case study on sand extraction”. The work of Laure was funded by ILVO, and she was supervised by Willem Waegeman, Sofie Derycke and Annelies De Backer. Congrats!
2023
PhD degree for Dimitris Iliadis
On November 17, 2023, Dimitris Iliadis successfully defended his Ph.D. thesis “Automated multi-target prediction with two-branch neural networks” and was awarded the title of Doctor of Bioscience Engineering: Mathematical Modelling. Dimitris was supervised by Willem Waegeman and Bernard De Baets. His research was sponsored by the Flanders AI Research Program. The slides of the presentation can be found here.
We are organizing a tutorial on Aleatoric and Epistemic Uncertainty in Statistics and Machine Learning at ECML/PKDD 2023 in Torino. More info can be found here.
On June 23, 2023, Thomas Mortier successfully defended his Ph.D. thesis “Efficient algorithms for set-valued prediction in classification” and was awarded the title of Doctor of Bioscience Engineering: Mathematical Modelling. Thomas was supervised by Willem Waegeman and Krzysztof Dembczyński. The slides for the presentation can be found here. Congratulations!
On Wednesday January 18th Friederike Mey successfully defended her PhD thesis with title “Integration of synthetic biology, systems biology and machine learning for the production of chitooligosaccharides in Escherichia coli”. Friederike was supervised by Marjan De Mey and Willem Waegeman. Congratulations!
2022
We are organizing a workshop on Uncertainty in Machine Learning at Ghent in February. More info can be found here.