Predicting the results of matches in sport is a challenging and interesting task. In this paper,
we review a selection of studies from 1996 to 2019 that used machine learning for predicting …

The rapid advancement of artificial intelligence (AI) is changing our lives in many ways. One
application domain is data science. New techniques in automating the creation of AI, known …

Deep Learning (DL) models proved themselves to perform extremely well on a wide variety
of learning tasks, as they can learn useful patterns from large data sets. However, purely …

Data science and machine learning (DS/ML) are at the heart of the recent advancements of
many Artificial Intelligence (AI) applications. There is an active research thread in AI,\autoai …

This article is an introduction to some of the most fundamental performance measures for the
evaluation of binary classifiers. These measures are categorized into three broad families …

The global expansion of the sports betting industry has brought the prediction of outcomes of
sport events into the foreground of scientific research. In this work, soccer outcome …

During the last decade, various machine learning methods have been applied to improve
the accuracy of quantitative analysis in laser-induced breakdown spectroscopy (LIBS) by …

How well can machine learning predict the outcome of a soccer game, given the most
commonly and freely available match data? To help answer this question and to facilitate …

Abstract Machine learning models have become increasingly popular for predicting the
results of soccer matches, however, the lack of publicly-available benchmark datasets has …

Sparsity is a common characteristic for datasets used in the domain of sports forecasting,
mainly derived from inconsistencies in data coverage. Typically, this issue is circumvented …