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- Universidade de Santiago de CompostelaES166 papers
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- University of GroningenNL142 papers
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21 papers · 1 filter
Analysis of voice recordings features for Classification of Parkinson's Disease
Beatriz Pérez-Sánchez, Noelia Sánchez-Maroño, Miguel A. Díaz-Freire
Parkinson's disease (PD) is a chronic neurodegenerative disease. Early diagnosis is essential to mitigate the progressive deterioration of patients' quality of life. The most chara…
Positive-Unlabelled Learning for identifying new candidate Dietary Restriction-related genes among Ageing-related genes
Jorge Paz-Ruza, Alex A. Freitas, Amparo Alonso-Betanzos +1
Dietary Restriction (DR) is one of the most popular anti-ageing interventions; recently, Machine Learning (ML) has been explored to identify potential DR-related genes among ageing…
Evaluating Explanatory Capabilities of Machine Learning Models in Medical Diagnostics: A Human-in-the-Loop Approach
José Bobes-Bascarán, Eduardo Mosqueira-Rey, Ángel Fernández-Leal +5
This paper presents a comprehensive study on the evaluation of explanatory capabilities of machine learning models, with a focus on Decision Trees, Random Forest and XGBoost models…
Hybrid Machine Learning techniques in the management of harmful algal blooms impact
Andres Molares-Ulloa, Daniel Rivero, Jesus Gil Ruiz +2
Harmful algal blooms (HABs) are episodes of high concentrations of algae that are potentially toxic for human consumption. Mollusc farming can be affected by HABs because, as filte…
Clustering Techniques Selection for a Hybrid Regression Model: A Case Study Based on a Solar Thermal System
María Teresa García-Ordás, Héctor Alaiz-Moretón, José-Luis Casteleiro-Roca +5
This work addresses the performance comparison between four clustering techniques with the objective of achieving strong hybrid models in supervised learning tasks. A real dataset…
Early stopping by correlating online indicators in neural networks
Manuel Vilares Ferro, Yerai Doval Mosquera, Francisco J. Ribadas Pena +1
In order to minimize the generalization error in neural networks, a novel technique to identify overfitting phenomena when training the learner is formally introduced. This enables…