Outputs (3)

On the Use of Deep Learning for Imaging-Based COVID-19 Detection Using Chest X-rays (2021)
Journal Article
Okolo, G. I., Katsigiannis, S., Althobaiti, T., & Ramzan, N. (2021). On the Use of Deep Learning for Imaging-Based COVID-19 Detection Using Chest X-rays. Sensors, 21(17), Article 5702. https://doi.org/10.3390/s21175702

The global COVID-19 pandemic that started in 2019 and created major disruptions around the world demonstrated the imperative need for quick, inexpensive, accessible and reliable diagnostic methods that would allow the detection of infected individual... Read More about On the Use of Deep Learning for Imaging-Based COVID-19 Detection Using Chest X-rays.

When the timeline meets the pipeline: A survey on automated cyberbullying detection (2021)
Journal Article
Elsafoury, F., Katsigiannis, S., Pervez, Z., & Ramzan, N. (2021). When the timeline meets the pipeline: A survey on automated cyberbullying detection. IEEE Access, 9, 103541-103563. https://doi.org/10.1109/access.2021.3098979

Web 2.0 helped user-generated platforms to spread widely. Unfortunately, it also allowed for cyberbullying to spread. Cyberbullying has negative effects that could lead to cases of depression and low self-esteem. It has become crucial to develop tool... Read More about When the timeline meets the pipeline: A survey on automated cyberbullying detection.

BED: A new dataset for EEG-based biometrics (2021)
Journal Article
Arnau-González, P., Katsigiannis, S., Arevalillo-Herráez, M., & Ramzan, N. (2021). BED: A new dataset for EEG-based biometrics. IEEE Internet of Things Journal, 8(15), 12219-12230. https://doi.org/10.1109/jiot.2021.3061727

Various recent research works have focused on the use of electroencephalography (EEG) signals in the field of biometrics. However, advances in this area have somehow been limited by the absence of a common testbed that would make it possible to easil... Read More about BED: A new dataset for EEG-based biometrics.