Use of Machine Learning for Rate Adaptation in MPEG-DASH for Quality of Experience Improvement
(2018)
Conference Proceeding
Alzahrani, I. R., Ramzan, N., Katsigiannis, S., & Amira, A. (2018). Use of Machine Learning for Rate Adaptation in MPEG-DASH for Quality of Experience Improvement. . https://doi.org/10.1007/978-3-319-78753-4
Outputs (7)
SNPs-based Hypertension Disease Detection via Machine Learning Techniques (2018)
Conference Proceeding
Alzubi, R., Ramzan, N., Alzoubi, H., & Katsigiannis, S. (2018). SNPs-based Hypertension Disease Detection via Machine Learning Techniques. . https://doi.org/10.23919/iconac.2018.8748972
Affect Detection for Human-Horse Interaction (2018)
Conference Proceeding
Althobaiti, T., Katsigiannis, S., West, D., Bronte-Stewart, M., & Ramzan, N. (2018). Affect Detection for Human-Horse Interaction. . https://doi.org/10.1109/ncg.2018.8593113
Remote Heart Rate Extraction Using Microsoft KinectTM v2.0 (2018)
Conference Proceeding
Malasinghe, L., Katsigiannis, S., Ramzan, N., & Dahal, K. (2018). Remote Heart Rate Extraction Using Microsoft KinectTM v2.0. . https://doi.org/10.1145/3232059.3232060
DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices (2018)
Journal Article
Katsigiannis, S., & Ramzan, N. (2018). DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices. IEEE Journal of Biomedical and Health Informatics, 22(1), 98-107. https://doi.org/10.1109/jbhi.2017.2688239
On the influence of affect in EEG-based subject identification (2018)
Journal Article
Arnau-González, P., Arevalillo-Herráez, M., Katsigiannis, S., & Ramzan, N. (2021). On the influence of affect in EEG-based subject identification. IEEE Transactions on Affective Computing, 12(2), 391-401. https://doi.org/10.1109/taffc.2018.2877986
Interpreting MOS scores, when can users see a difference? Understanding user experience differences for photo quality (2018)
Journal Article
Katsigiannis, S., Scovell, J., Ramzan, N., Janowski, L., Corriveau, P., Saad, M. A., & Van Wallendael, G. (2018). Interpreting MOS scores, when can users see a difference? Understanding user experience differences for photo quality. Quality and User Experience, 3(1), Article 6. https://doi.org/10.1007/s41233-018-0019-8The use of no-reference image quality evaluation tools that produce MOS scores, like the VIQET tool which was released by the Video Quality Expert Group, raises the question of whether the produced MOS differences between images correspond to noticea... Read More about Interpreting MOS scores, when can users see a difference? Understanding user experience differences for photo quality.