Leonardo Cañete-Sifuentes
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View article: Automated Discovery of Successful Strategies in Association Football
Automated Discovery of Successful Strategies in Association Football Open
Using automated data analysis to understand what makes a play successful in football can enable teams to make data-driven decisions that may enhance their performance throughout the season. Analyzing different types of plays (e.g., corner,…
View article: Comparing Automated Machine Learning Against an Off-the-Shelf Pattern-Based Classifier in a Class Imbalance Problem: Predicting University Dropout
Comparing Automated Machine Learning Against an Off-the-Shelf Pattern-Based Classifier in a Class Imbalance Problem: Predicting University Dropout Open
When facing a classification problem, data science practitioners must search through an armory of methods. Often, practitioners are tempted to use off-the-shelf classifiers, including automated Machine Learning (AutoML) toolboxes; however,…
View article: A Review and Experimental Comparison of Multivariate Decision Trees
A Review and Experimental Comparison of Multivariate Decision Trees Open
Decision trees are popular as stand-alone classifiers or as base learners in ensemble classifiers. Mostly, this is due to decision trees having the advantage of being easy to explain. To improve the classification performance of decision t…
View article: Classification Based on Multivariate Contrast Patterns
Classification Based on Multivariate Contrast Patterns Open
There is a growing interest in the development of classifiers based on contrast patterns (CPs); partly due to the advantage of them being able to explain classification results in a language that is easy to understand for an expert. CP-bas…