Towards Semi-Automatic Artifact Rejection for the Improvement of Alzheimer’s Disease Screening from EEG Signals by Jordi Solé-Casals, François-Benoît Vialatte

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Editorial: Graph learning for brain imaging by Feng Liu, Yu Zhang, Yu Zhang, Islem Rekik, Yehia Massoud, Jordi Solé-Casals, Jordi Solé-Casals

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Robust and memory-less median estimation for real-time spike detection. by Ariel Burman, Jordi Solé-Casals, Sergio E Lew

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Clustering Users to Determine the Most Suitable Gamification Elements by Alejandro Blanco-M, Ruth S. Contreras-Espinosa, Jordi Solé-Casals

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Effect of Foot Orthoses on Angular Velocity of Feet by Juan Luis Florenciano Restoy, Jordi Solé-Casals, Xantal Borràs-Boix

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IMU-Based Effects Assessment of the Use of Foot Orthoses in the Stance Phase during Running and Asymmetry between Extremities by Juan Luis Florenciano Restoy, Jordi Solé-Casals, Xantal Borràs-Boix

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Assessing the Capability of Advanced AI Models in Cardiovascular Symptom Recognition: A Comparative Study by Jordi Cusidó, Lluc Solé-Vilaró, Pere Marti-Puig, Jordi Solé-Casals

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Wind turbine database for intelligent operation and maintenance strategies by Pere Marti-Puig, Alejandro Blanco-M., Jordi Cusidó, Jordi Solé-Casals

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Developing an Artificial Intelligence Model for Reading Chest X-rays: Protocol for a Prospective Validation Study by Queralt Miró Catalina, Aïna Fuster-Casanovas, Jordi Solé-Casals, Josep Vidal-Alaball

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Wind Turbine Prognosis Models Based on SCADA Data and Extreme Learning Machines by Pere Marti-Puig, Alejandro Blanco-M., Moisès Serra-Serra, Jordi Solé-Casals

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Exploring the Effect of Temporal Aggregation on SCADA Data for Wind Turbine Prognosis Using a Normality Model by Pere Marti-Puig, Alejandro Bennásar-Sevillá, Alejandro Blanco-M., Jordi Solé-Casals

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Enhancing Reliability in Wind Turbine Power Curve Estimation by Pere Marti-Puig, Jose Ángel Hernández, Jordi Solé-Casals, Moises Serra-Serra

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A Machine Learning Approach for Predicting Non-Suicidal Self-Injury in Young Adults by Pere Marti-Puig, Chiara Capra, Daniel Vega, Laia Llunas, Jordi Solé-Casals

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A Text-Mining Approach to Assess the Failure Condition of Wind Turbines Using Maintenance Service History by Alejandro Blanco-M., Pere Marti-Puig, Karina Gibert, Jordi Cusidó, Jordi Solé-Casals

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Machine Learning Methods with Noisy, Incomplete or Small Datasets by Cesar F. Caiafa, Zhe Sun, Toshihisa Tanaka, Pere Marti-Puig, Jordi Solé-Casals

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Special Issue “Machine Learning Methods for Biomedical Data Analysis” by Cesar F. Caiafa, Zhe Sun, Toshihisa Tanaka, Pere Marti-Puig, Jordi Solé-Casals

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Decomposition Methods for Machine Learning with Small, Incomplete or Noisy Datasets by Cesar Federico Caiafa, Jordi Solé-Casals, Pere Marti-Puig, Sun Zhe, Toshihisa Tanaka

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Feature Selection Algorithms for Wind Turbine Failure Prediction by Pere Marti-Puig, Alejandro Blanco-M, Juan José Cárdenas, Jordi Cusidó, Jordi Solé-Casals

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Detection of Wind Turbine Failures through Cross-Information between Neighbouring Turbines by Pere Marti-Puig, Jordi Cusidó, Francisco J. Lozano, Moises Serra-Serra, Cesar F. Caiafa, Jordi Solé-Casals

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Exploratory Analysis of SCADA Data from Wind Turbines Using the K-Means Clustering Algorithm for Predictive Maintenance Purposes by Pablo Cosa Rodriguez, Pere Marti-Puig, Cesar F. Caiafa, Moisès Serra-Serra, Jordi Cusidó, Jordi Solé-Casals

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