[PDF][PDF] Predicting cycling results using machine learning
E De Spiegeleer - 2019 - libstore.ugent.be
I would also like to express my gratitude to my parents, brothers, friends and girlfriend for
their support, encouragement, constructive criticism and pretence to completely understand …
their support, encouragement, constructive criticism and pretence to completely understand …
Tour de France modeling: 2015 results and comparisons with elite cyclist power data
For the past dozen years, our research group has been refining a physical model used to
predict the winning time for each stage of the Tour de France. Our model is based upon a …
predict the winning time for each stage of the Tour de France. Our model is based upon a …
Using the 2011-16 tours de france to refine prediction model and elicit racing strategies
Every year our research group predicts winning times of all 21 Tour de France stages using
a model that treats each stage as a series of inclined planes. We report here on our most …
a model that treats each stage as a series of inclined planes. We report here on our most …
[PDF][PDF] Parameter-Space Mining of 2018-2020 Tours de France to Model 2021 Tour de France
N Baumgartner, J Goff - 2022 - docs.lib.purdue.edu
The authors of this paper are part of a research group that has modelled the Tour de France
since 2003 [1-7]. The basis of the model are the terrain data obtained from profiles of the 21 …
since 2003 [1-7]. The basis of the model are the terrain data obtained from profiles of the 21 …