A Preliminary Study on Automatic Detection and Filtering of Artifacts from EEG Signals. - Fernando Moncada Martins; Víctor M. González 002; Víctor Álvarez; Beatriz García-López; José R. Villar 001 (CBMS, 2021)

A Comparison of Blink Removal Techniques in EEG Signals. - Fernando Moncada Martins; Víctor M. González 002; Beatriz García-López; Víctor Álvarez; José R. Villar 001 (HAIS, 2021)

A Comparison of Machine Learning Techniques for the Detection of Type-4 PhotoParoxysmal Responses in Electroencephalographic Signals. - Fernando Moncada Martins; Víctor M. González 002; Beatriz García-López; Víctor Álvarez; José R. Villar 001 (HAIS, 2022)

Analysis of Frequency Bands in Electroencephalograms for Automatic Detection of Photoparoxysmal Responses. - Fernando Moncada Martins; Víctor M. González 002; José R. Villar 001; Beatriz García-López; Ana Isabel Gómez-Menéndez (HAIS, 2023)

Data Augmentation Effects on Highly Imbalanced EEG Datasets for Automatic Detection of Photoparoxysmal Responses. - Fernando Moncada Martins; Víctor Manuel González Suárez; José Ramón Villar Flecha; Beatriz García-López (Sensors, 2023)

Virtual reality and machine learning in the automatic photoparoxysmal response detection. - Fernando Moncada Martins; Sofía Martín; Víctor M. González 002; Víctor M. Álvarez; Beatriz García-López; Ana Isabel Gómez-Menéndez; José R. Villar 001 (Neural Comput. Appl., 2023)

Batch-Balancing Improvement with Data Augmentation Techniques for Clinical Electroencephalographic Data. - David Fernández-Madera González; Fernando Moncada Martins; Víctor M. González 002; José R. Villar 001; Beatriz García-López; Ana Isabel Gómez-Menéndez (HAIS (1), 2024)

Inception networks, data augmentation and transfer learning in EEG-based photosensitivity diagnosis. - Fernando Moncada Martins; Víctor M. González 002; José R. Villar 001; Beatriz García-López; Ana Isabel Gómez-Menéndez (Mach. Learn. Sci. Technol., 2025)