We demonstrated an in-depth data analytical process to facilitate the decision-making procedure in track cycling omnium that includes utilization of statistical, machine learning-based, and probabilistic approaches. We considered both interomnium and intra-omnium procedures
Developing expert systems that make use of artificial intelligence (AI) to provide predictive analyt...
In various sports, large amounts of data are nowadays collected and analyzed to help scouts in ident...
In a world where the data is a central piece, we provide a novel technique to design training plans ...
We demonstrated an in-depth data analytical process to facilitate the decision-making procedure in t...
This article describes the implementation of machine learning techniques that assist cycling experts...
This article describes the utilisation of an unsupervised machine learning technique and statistical...
Abstract. This paper presents work on using Machine Learning ap-proaches for predicting performance ...
This paper presents work on using Machine Learning approaches for predicting performance patterns of...
This paper reports our recent findings on the analysis of riders’ performance patterns in the new (t...
Professional sports are developing towards increasingly scientific training methods with increasing ...
Performance in triathlon is dependent upon factors that include somatotype, physiological capacity, ...
The importance of young athletes in the field of professional cycling has sky-rocketed during the pa...
Purpose: The purpose of this study is to develop and experimentally test the technology of system-ta...
This paper uses a statistical analysis of match sprint outcomes to guide tactical decisions in this ...
In this thesis, we demonstrate the value that analytics can have in guiding decisions at amateur spo...
Developing expert systems that make use of artificial intelligence (AI) to provide predictive analyt...
In various sports, large amounts of data are nowadays collected and analyzed to help scouts in ident...
In a world where the data is a central piece, we provide a novel technique to design training plans ...
We demonstrated an in-depth data analytical process to facilitate the decision-making procedure in t...
This article describes the implementation of machine learning techniques that assist cycling experts...
This article describes the utilisation of an unsupervised machine learning technique and statistical...
Abstract. This paper presents work on using Machine Learning ap-proaches for predicting performance ...
This paper presents work on using Machine Learning approaches for predicting performance patterns of...
This paper reports our recent findings on the analysis of riders’ performance patterns in the new (t...
Professional sports are developing towards increasingly scientific training methods with increasing ...
Performance in triathlon is dependent upon factors that include somatotype, physiological capacity, ...
The importance of young athletes in the field of professional cycling has sky-rocketed during the pa...
Purpose: The purpose of this study is to develop and experimentally test the technology of system-ta...
This paper uses a statistical analysis of match sprint outcomes to guide tactical decisions in this ...
In this thesis, we demonstrate the value that analytics can have in guiding decisions at amateur spo...
Developing expert systems that make use of artificial intelligence (AI) to provide predictive analyt...
In various sports, large amounts of data are nowadays collected and analyzed to help scouts in ident...
In a world where the data is a central piece, we provide a novel technique to design training plans ...
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