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Data Augmentation Effects on Highly Imbalanced EEG Datasets for Automatic Detection of Photoparoxysmal Responses.

, , , and . Sensors, 23 (4): 2312 (February 2023)

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Demosaicing algorithms for area- and line-scan cameras in print inspection., , , , and . J. Vis. Commun. Image Represent., 20 (6): 389-398 (2009)VR-Photosense: A Virtual Reality Photic Stimulation Interface for the Study of Photosensitivity., , , , and . SOCO, volume 1401 of Advances in Intelligent Systems and Computing, page 178-186. Springer, (2021)Analysis of Frequency Bands in Electroencephalograms for Automatic Detection of Photoparoxysmal Responses., , , , and . HAIS, volume 14001 of Lecture Notes in Computer Science, page 743-754. Springer, (2023)Computational-based biomarkers for mental and emotional health., , and . Neural Comput. Appl., 35 (8): 5601-5602 (March 2023)Data Augmentation Effects on Highly Imbalanced EEG Datasets for Automatic Detection of Photoparoxysmal Responses., , , and . Sensors, 23 (4): 2312 (February 2023)A Comparison of Blink Removal Techniques in EEG Signals., , , , and . HAIS, volume 12886 of Lecture Notes in Computer Science, page 355-366. Springer, (2021)A Comparison of Machine Learning Techniques for the Detection of Type-4 PhotoParoxysmal Responses in Electroencephalographic Signals., , , , and . HAIS, volume 13469 of Lecture Notes in Computer Science, page 3-13. Springer, (2022)Virtual reality and machine learning in the automatic photoparoxysmal response detection., , , , , , and . Neural Comput. Appl., 35 (8): 5643-5659 (March 2023)A Preliminary Study on Automatic Detection and Filtering of Artifacts from EEG Signals., , , , and . CBMS, page 420-425. IEEE, (2021)