Lizama, D., & Serrano, D. (2025). Exploring Electroencephalography-Based Visual Imagery Using Convolutional Neural Networks For 2 D Shapes Classification. Cureus Journal of Computer Science, 2(1). https://doi.org/10.7759/s44389-025-08315-6
ISO-690 (author-date, English)LIZAMA, Daniel und SERRANO, David, 2025. Exploring Electroencephalography-Based Visual Imagery Using Convolutional Neural Networks For 2 D Shapes Classification. Cureus Journal of Computer Science. 1 Oktober 2025. Vol. 2, no. 1, . DOI 10.7759/s44389-025-08315-6.
Modern Language Association 9th editionLizama, D., und D. Serrano. „Exploring Electroencephalography-Based Visual Imagery Using Convolutional Neural Networks For 2 D Shapes Classification“. Cureus Journal of Computer Science, Bd. 2, Nr. 1, Oktober 2025, https://doi.org/10.7759/s44389-025-08315-6.
Mohr Siebeck - Recht (Deutsch - Österreich)Lizama, Daniel/Serrano, David: Exploring Electroencephalography-Based Visual Imagery Using Convolutional Neural Networks For 2 D Shapes Classification, Cureus Journal of Computer Science 2025,
Emerald - HarvardLizama, D. und Serrano, D. (2025), „Exploring Electroencephalography-Based Visual Imagery Using Convolutional Neural Networks For 2 D Shapes Classification“, Cureus Journal of Computer Science, Vol. 2 No. 1, verfügbar unter:https://doi.org/10.7759/s44389-025-08315-6.