CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.
Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .
Livrables
The WP4 starts with the diagnosis of the current DCs knowledge about empirical research methodology, data management, and statistical modeling. This step is necessary bearing in mind differences in curriculum of undergraduate and graduate programs between various disciplines, in this case, mainly computer and social sciences. Identification of methodological knowledge gaps and strengths, as well as the existing standard curriculum review will help in designing the training enabling collaboration in interdisciplinary topics and teams. An important part of this initial diagnosis is the gathering of knowledge on the non-academic partners which conduct applied research in their fields (education, location-based services, and eye tracking research) on their needs concerning methodological knowledge of successful job applicants (new employees).
Program and handouts for eye tracking data handling, statistics with exemplary R and python code (s’ouvre dans une nouvelle fenêtre)The WP4 starts with the diagnosis of the current DCs knowledge about empirical research methodology, data management, and statistical modeling. This step is necessary bearing in mind differences in curriculum of undergraduate and graduate programs between various disciplines, in this case, mainly computer and social sciences. Identification of methodological knowledge gaps and strengths, as well as the existing standard curriculum review will help in designing the training enabling collaboration in interdisciplinary topics and teams. An important part of this initial diagnosis is the gathering of knowledge on the non-academic partners which conduct applied research in their fields (education, location-based services, and eye tracking research) on their needs concerning methodological knowledge of successful job applicants (new employees).
Program on transferable skills at Winter School 2 and students’ handouts (s’ouvre dans une nouvelle fenêtre)Program on transferable skills at Winter School 2 and students handouts
Program of intermediate concepts of eye tracking computational modeling at Winter School 1 and students’ handouts (s’ouvre dans une nouvelle fenêtre)Training activities will cover the following methods for computational modeling relevant to eye-tracking research and applications: Classification and regression models, deep and recurrent neural network models, representation learning, applications of computational modeling on low and high-end hardware, Egocentric Computer Vision, software tools and toolkits for model training and evaluation (e.g. PyTorch, scikit learn etc), Machine learning for signal processing. In addition, the consortium will organize a hackathon as part of the training activities in computational modeling. The training activity will focus on practical applications of modern ML toolkits for real-time applications, while the data will be provided from the consortium partners.
Program on transferable skills at Winter School 1 and students’ handouts (s’ouvre dans une nouvelle fenêtre)Program on transferable skills at Winter School 1 and students handouts
Risk register 2 (s’ouvre dans une nouvelle fenêtre)Risk register
Risk register 1 (s’ouvre dans une nouvelle fenêtre)Risk register
Program of advanced concepts of eye tracking computational modeling at Winter School 2 and students’ handouts (s’ouvre dans une nouvelle fenêtre)Training activities will cover the following methods for computational modeling relevant to eye-tracking research and applications: Classification and regression models, deep and recurrent neural network models, representation learning, applications of computational modeling on low and high-end hardware, Egocentric Computer Vision, software tools and toolkits for model training and evaluation (e.g. PyTorch, scikit learn etc), Machine learning for signal processing. In addition, the consortium will organize a hackathon as part of the training activities in computational modeling. The training activity will focus on practical applications of modern ML toolkits for real-time applications, while the data will be provided from the consortium partners.
Publications
Auteurs:
Wang, Y., Raubal, M., & Kiefer, P.
Publié dans:
Proceedings of the 18th International Conference on Location Based Services., 2023
DOI:
10.34726/5753
Auteurs:
Filippo Baldisserotto, Krzysztof Krejtz, Izabela Krejtz
Publié dans:
ETRA '23: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023, ISBN 9798400701504
Éditeur:
Association for Computing Machinery
DOI:
10.1145/3588015.3589512
Auteurs:
Mehtap Çakır, Anke Huckauf
Publié dans:
ETRA '23: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023, ISBN 9798400701504
Éditeur:
Association for Computing Machinery
DOI:
10.1145/3588015.3589513
Auteurs:
de Leon-Martinez, Santiago; Moro, Robert; Bielikova, Maria
Publié dans:
2023 Symposium on Eye Tracking Research and Applications (ETRA '23), 2023, ISBN 9798400701504
Éditeur:
Association for Computing Machinery
DOI:
10.1145/3588015.3589511
Auteurs:
Chuhan Jiao, Zhiming Hu, Mihai Bace, Andreas Bulling
Publié dans:
Proc. ACM Symposium on User Interface Software and Technology (UIST), 2023
Éditeur:
ACM DIGITAL LIBRARY
DOI:
10.1145/3586183.3606780
Auteurs:
Che, L., Raubal, M., & Kiefer, P.
Publié dans:
Proceedings of the 18th International Conference on Location Based Services., 2023
DOI:
10.34726/5639
Auteurs:
Hasnain Ali Shah, Salman Khalil, Sami Andberg, Anne M. Koivisto, Roman Bednarik
Publié dans:
Information Fusion, Numéro 122, 2025, ISSN 1566-2535
Éditeur:
Elsevier BV
DOI:
10.1016/J.INFFUS.2025.103202
Auteurs:
Hasnain Ali Shah, Sami Andberg, Anne M. Koivisto, Roman Bednarik
Publié dans:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Numéro 33, 2025, ISSN 1534-4320
Éditeur:
Institute of Electrical and Electronics Engineers (IEEE)
DOI:
10.1109/TNSRE.2025.3561043
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