Jose M. Puerta

Profesor Catedrático de Universidad

University of Castilla-La Mancha

Spain

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About

Jose M. Puerta is a Profesor Catedrático de Universidad at the Universidad de Castilla-La Mancha, Spain. His research focuses on machine learning applications in predictive analytics, fuzzy classification, and Bayesian networks. Recent publications include advancements in oblique decision trees, aesthetic quality assessment in photography, and injury risk prediction in sports contexts.

Articles (9)

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2025

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2025

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2024

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2023

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2022

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2022

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2021

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2021

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2021

Collaborators (2)

M. Julia Flores

Profesor Titular de Universidad

University of Castilla-La Mancha

SPAIN

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Antonio Cejudo Palomo

Universidad de Murcia

SPAIN

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Jose M. Puerta

Research Interests

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Articles (9)

ODTE—An ensemble of multi-class SVM-based oblique decision trees

FLARE: Fuzzy Local Agnostic Rule-Based Explanations for Closed Box Classifiers

Parallel structural learning of Bayesian networks: Iterative divide and conquer algorithm based on structural fusion

Predicting injury risk using machine learning in male youth soccer players

Factual and Counterfactual Explanations in Fuzzy Classification Trees

Ranking-based scores for the assessment of aesthetic quality in photography

An Application for Aesthetic Quality Assessment in Photography with Interpretability Features

A Field-Based Approach to Determine Soft Tissue Injury Risk in Elite Futsal Using Novel Machine Learning Techniques

Efficient and accurate structural fusion of Bayesian networks

Collaborators (2)

M. Julia Flores

Antonio Cejudo Palomo

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