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2020 – today
- 2024
[c6]Ilyena Hirskyj-Douglas, Aurélien Nioche, Danielius Sukys:
Prototyping an Immersive Screen Interfaces for Dogs' to Control Screens in Their Home. ACI 2024: 6:1-6:15- 2023
- [c5]Aurélien Nioche, Ville Tanskanen, Marcelo Hartmann, Arto Klami:
Transformed Gaussian Processes for Characterizing a Model's Discrepancy. ACML 2023: 991-1006 - [c4]Aini Putkonen
, Aurélien Nioche, Markku Laine, Crista Kuuramo, Antti Oulasvirta:
Fragmented Visual Attention in Web Browsing: Weibull Analysis of Item Visit Times. ECIR (2) 2023: 62-78 - 2022
- [c3]Aini Putkonen, Aurélien Nioche, Ville Tanskanen, Arto Klami, Antti Oulasvirta:
How Suitable Is Your Naturalistic Dataset for Theory-based User Modeling? UMAP 2022: 179-190 - 2021
- [c2]Ville Tanskanen, Chang Rajani, Homayun Afrabandpey, Aini Putkonen, Aurélien Nioche, Arto Klami:
Modeling Risky Choices in Unknown Environments. ACML 2021: 1081-1096 - [c1]Aurélien Nioche, Pierre-Alexandre Murena, Carlos de la Torre-Ortiz, Antti Oulasvirta:
Improving Artificial Teachers by Considering How People Learn and Forget. IUI 2021: 445-453 - [d1]Aurélien Nioche, Pierre-Alexandre Murena, Carlos de la Torre-Ortiz, Antti Oulasvirta:
Improving Artificial Teachers by Considering How People Learn and Forget: Dataset. Zenodo, 2021
- [i1]Aurélien Nioche, Pierre-Alexandre Murena, Carlos de la Torre-Ortiz, Antti Oulasvirta:
Improving Artificial Teachers by Considering How People Learn and Forget. CoRR abs/2102.04174 (2021)
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