6 citations · 10 across the 4 of their papers we have counts for
5 papers
Hybrid Machine Learning Forecasts for the UEFA EURO 2020
Andreas Groll, Lars Magnus Hvattum, Christophe Ley +4
Three state-of-the-art statistical ranking methods for forecasting football matches are combined with several other predictors in a hybrid machine learning model. Namely an ability…
Deducing neighborhoods of classes from a fitted model
Alexander Gerharz, Andreas Groll, Gunther Schauberger
In todays world the request for very complex models for huge data sets is rising steadily. The problem with these models is that by raising the complexity of the models, it gets mu…
Hybrid Machine Learning Forecasts for the FIFA Women's World Cup 2019
Andreas Groll, Christophe Ley, Gunther Schauberger +2
In this work, we combine two different ranking methods together with several other predictors in a joint random forest approach for the scores of soccer matches. The first ranking…
Prediction of the 2019 IHF World Men's Handball Championship - An underdispersed sparse count data regression model
Andreas Groll, Jonas Heiner, Gunther Schauberger +1
In this work, we compare several different modeling approaches for count data applied to the scores of handball matches with regard to their predictive performances based on all ma…
Prediction of the FIFA World Cup 2018 - A random forest approach with an emphasis on estimated team ability parameters
Andreas Groll, Christophe Ley, Gunther Schauberger +1
In this work, we compare three different modeling approaches for the scores of soccer matches with regard to their predictive performances based on all matches from the four previo…