51 citations · 188 across the 39 of their papers we have counts for
45 papers
Prediction of Handball Matches with Statistically Enhanced Learning via Estimated Team Strengths
Florian Felice, Christophe Ley
We propose a Statistically Enhanced Learning (aka. SEL) model to predict handball games. Our Machine Learning model augmented with SEL features outperforms state-of-the-art models…
Statistically Enhanced Learning: a feature engineering framework to boost (any) learning algorithms
Florian Felice, Christophe Ley, Andreas Groll +1
Feature engineering is of critical importance in the field of Data Science. While any data scientist knows the importance of rigorously preparing data to obtain good performing mod…
Lossy Compression for Robust Unsupervised Time-Series Anomaly Detection
Christopher P. Ley, Jorge F. Silva
A new Lossy Causal Temporal Convolutional Neural Network Autoencoder for anomaly detection is proposed in this work. Our framework uses a rate-distortion loss and an entropy bottle…
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…
Stein's Method Meets Computational Statistics: A Review of Some Recent Developments
Andreas Anastasiou, Alessandro Barp, François-Xavier Briol +11
Stein's method compares probability distributions through the study of a class of linear operators called Stein operators. While mainly studied in probability and used to underpin…
The Probabilistic Final Standing Calculator: a fair stochastic tool to handle abruptly stopped football seasons
Hans Van Eetvelde, Lars Magnus Hvattum, Christophe Ley
The COVID-19 pandemic has left its marks in the sports world, forcing the full-stop of all sports-related activities in the first half of 2020. Football leagues were suddenly stopp…