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Antonio Jesús Fernández-García

Advancing precision in medical image segmentation: A performance analysis of loss functions for COVID-19 lung infection segmentation in computed tomography images
CompareML: A Novel Approach to Supporting Preliminary Data Analysis Decision Making
A Hybrid Multidimensional Recommender System for Radio Programs
A Real-Life Machine Learning Experience for Predicting University Dropout at Different Stages Using Academic Data
Towards the use of Data Engineering, Advanced Visualization techniques and Association Rules to support knowledge discovery for public policies
Creating a Recommender System to Support Higher Education Students in the Subject Enrollment Decision

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