Fred Atilla
Docent
TSHD: Tilburg School of Humanities and Digital Sciences
TSHD: Department of Cognitive Science and Artificial Intelligence
Vakken
- Brain Computer Interfacing
- Statistics for Premasters DSS (Fall)
- Elements of Machine Learning
- RS: Programming with R (Fall)
- RS: Programming with R (Spring)
Recente publicaties
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Impact of spatial distance on public attention and sentiment during t…
Atilla, F., & Zwaan, R. A. (2024). Impact of spatial distance on public attention and sentiment during the spread of COVID-19. Informatics in Medicine Unlocked. -
Background check - Cultural differences in spatial context of comic s…
Atilla, F., Klomberg, B., De Lemos Ribeiro Pinto Cardoso, B., & Cohn, N. (2023). Background check: Cultural differences in spatial context of comic scenes. Multimodal Communication, 12(3), 179-189. -
Improving User Experience and Performance through Gamification of MI-…
Atilla, F., Alimardani, M., & Postma, M. (2023). Improving User Experience and Performance through Gamification of MI-BCI Training. 45-45. Abstract from 10th International Brain-Computer Interface Meeting 2023, Brussels, Belgium. -
Mother-child inter-brain synchrony during a mutual visual search task…
Atilla, F., Alimardani, M., Kawamoto, T., & Hiraki, K. (2023). Mother-child inter-brain synchrony during a mutual visual search task: A study of feedback valence and role. Social Neuroscience, 18(4), 232-244. -
Attention Classification of Drivers Using Convolutional Neural Networ…
Atilla, F., Lombard, A., & Alimardani, M. (2021). Attention Classification of Drivers Using Convolutional Neural Networks. Abstract from Neuroergonomics Conference 2021. https://neuroergonomicsconference.um.ifi.lmu.de/wp-content/uploads/submissions/150.pdf