Dr Aurelien Nioche
- Research Associate (School of Computing Science)
email:
Aurelien.Nioche@glasgow.ac.uk
pronouns:
He/him/his
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email:
Aurelien.Nioche@glasgow.ac.uk
pronouns:
He/him/his
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, (Accepted for Publication)
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)
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, (Accepted for Publication)
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)
https://orcid.org/0000-0002-0567-2637