Dr Aurelien Nioche
- Researcher (School of Computing Science)
The University of Glasgow uses cookies for analytics. Find out more about our Privacy policy.
Necessary cookies enable core functionality. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.
Analytical cookies help us improve our website. We use Google Analytics. All data is anonymised.
Clarity helps us to understand our users’ behaviour by visually representing their clicks, taps and scrolling. All data is anonymised.
Hirskyj-Douglas, I. , Nioche, A. and Sukys, D. (2024) Prototyping an Immersive Screen Interfaces for Dogs’ to Control Screens in Their Home. In: International Conference on Animal-Computer Interaction (ACI 2024), Glasgow, UK, 2-5 December 2024, (Accepted for Publication)
Taylor, W., Nioche, A. , Murray-Smith, R. , Cooper, J. , Abbasi, Q. and Imran, M. (2023) Contactless Healthcare Monitoring System Performance Analysis of Multiple Devices. In: IEEE MTT-S International Microwave Biomedical Conference (IMBioC 2023), Leuven, Belgium, 11-13 Sept 2023, ISBN 9781665492171 (doi: 10.1109/IMBioC56839.2023.10305099)
Nioche, A. , Tanskanen, V., Hartmann, M. and Klami, A. (2023) Transformed Gaussian Processes for Characterizing a Model’s Discrepancy. In: 15th Asian Conference on Machine Learning (ACML 2023), Istanbul, Turkey, 11-14 Nov 2023, pp. 991-1006.
Putkonen, A., Nioche, A. , Laine, M., Kuuramo, C. and Oulasvirta, A. (2023) Fragmented visual attention in web browsing: Weibull analysis of item visit times. In: Kamps, J., Goeuriot, L., Crestani, F., Maistro, M., Joho, H., Davis, B., Gurrin, C., Kruschwitz, U. and Caputo, A. (eds.) Advances in Information Retrieval. Series: Lecture notes in computer science (13981). Springer: Cham, Switzerland, pp. 62-78. ISBN 9783031282386 (doi: 10.1007/978-3-031-28238-6_5)
Putkonen, A., Nioche, A. , Tanskanen, V., Klami, A. and Oulasvirta, A. (2022) How Suitable Is Your Naturalistic Dataset for Theory-based User Modeling? In: UMAP '22: 30th ACM, Barcelona, Spain, July 4-7 2022, pp. 179-190. (doi: 10.1145/3503252.3531322)
Putkonen, A., Nioche, A. , Laine, M., Kuuramo, C. and Oulasvirta, A. (2023) Fragmented visual attention in web browsing: Weibull analysis of item visit times. In: Kamps, J., Goeuriot, L., Crestani, F., Maistro, M., Joho, H., Davis, B., Gurrin, C., Kruschwitz, U. and Caputo, A. (eds.) Advances in Information Retrieval. Series: Lecture notes in computer science (13981). Springer: Cham, Switzerland, pp. 62-78. ISBN 9783031282386 (doi: 10.1007/978-3-031-28238-6_5)
Hirskyj-Douglas, I. , Nioche, A. and Sukys, D. (2024) Prototyping an Immersive Screen Interfaces for Dogs’ to Control Screens in Their Home. In: International Conference on Animal-Computer Interaction (ACI 2024), Glasgow, UK, 2-5 December 2024, (Accepted for Publication)
Taylor, W., Nioche, A. , Murray-Smith, R. , Cooper, J. , Abbasi, Q. and Imran, M. (2023) Contactless Healthcare Monitoring System Performance Analysis of Multiple Devices. In: IEEE MTT-S International Microwave Biomedical Conference (IMBioC 2023), Leuven, Belgium, 11-13 Sept 2023, ISBN 9781665492171 (doi: 10.1109/IMBioC56839.2023.10305099)
Nioche, A. , Tanskanen, V., Hartmann, M. and Klami, A. (2023) Transformed Gaussian Processes for Characterizing a Model’s Discrepancy. In: 15th Asian Conference on Machine Learning (ACML 2023), Istanbul, Turkey, 11-14 Nov 2023, pp. 991-1006.
Putkonen, A., Nioche, A. , Tanskanen, V., Klami, A. and Oulasvirta, A. (2022) How Suitable Is Your Naturalistic Dataset for Theory-based User Modeling? In: UMAP '22: 30th ACM, Barcelona, Spain, July 4-7 2022, pp. 179-190. (doi: 10.1145/3503252.3531322)