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Kernels Methods in Machine Learning
(2022-06-24)
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Random Forests: Properties and applications
(2020-09-01)
Random forests are considered a fundamental tool in supervised learning. Conse quently, random forests are used in a wide range of disciplines, yielding great results and demonstrating many advantages in classification and ...
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Explainable Machine Learning: Mathematical Optimization in Counterfactual Analysis
(2022-06-01)
Counterfactual Analysis is a recent field of Explainable Machine Learning focused on the development of methods to provide human-understandable explanations for the results of predictive models. Further research and ...
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Optimisation of Airspace Sectorisation
(2020-06-01)
This research was financially supported by CRIDA, who also provided us data for this research. This master thesis has been supported partially by solution PJ09-W2.44 which has received funding from the SESAR Joint Undertaking ...