Fernando Moncada Martins

Orcid: 0000-0002-6652-9287

Affiliations:
  • University of Oviedo, Gijón, Spain


According to our database1, Fernando Moncada Martins authored at least 12 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Anomaly detection comparison for photo-paroxysmal response detection.
Log. J. IGPL, 2026

Early Detection of Neurotoxicity in Neuronal Cultures via Unsupervised Anomaly Detection on MEA Spike Waveforms.
Proceedings of the Hybrid Artificial Intelligent Systems - 21st International Conference, 2026

2025
Inception networks, data augmentation and transfer learning in EEG-based photosensitivity diagnosis.
Mach. Learn. Sci. Technol., 2025

Learning from Normal Brain Activity for Automatic Detection of Photoparoxysmal Responses as Electroencephalogram Anomalies.
Proceedings of the Hybrid Artificial Intelligent Systems - 20th International Conference, 2025

2024
Prostate Cancer Relapse Assessment Based on Optimised Outlier Detection.
Proceedings of the 19th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2024, 2024

Batch-Balancing Improvement with Data Augmentation Techniques for Clinical Electroencephalographic Data.
Proceedings of the Hybrid Artificial Intelligent Systems - 19th International Conference, 2024

2023
Virtual reality and machine learning in the automatic photoparoxysmal response detection.
Neural Comput. Appl., March, 2023

Data Augmentation Effects on Highly Imbalanced EEG Datasets for Automatic Detection of Photoparoxysmal Responses.
Sensors, February, 2023

Analysis of Frequency Bands in Electroencephalograms for Automatic Detection of Photoparoxysmal Responses.
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

2022
A Comparison of Machine Learning Techniques for the Detection of Type-4 PhotoParoxysmal Responses in Electroencephalographic Signals.
Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022

2021
A Comparison of Blink Removal Techniques in EEG Signals.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

A Preliminary Study on Automatic Detection and Filtering of Artifacts from EEG Signals.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021


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