CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.
I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .
Risultati finali
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 (si apre in una nuova finestra)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 (si apre in una nuova finestra)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 (si apre in una nuova finestra)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 (si apre in una nuova finestra)Program on transferable skills at Winter School 1 and students handouts
Risk register 2 (si apre in una nuova finestra)Risk register
Risk register 1 (si apre in una nuova finestra)Risk register
Program of advanced concepts of eye tracking computational modeling at Winter School 2 and students’ handouts (si apre in una nuova finestra)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.
Pubblicazioni
Autori:
Wang, Y., Raubal, M., & Kiefer, P.
Pubblicato in:
Proceedings of the 18th International Conference on Location Based Services., 2023
DOI:
10.34726/5753
Autori:
Filippo Baldisserotto, Krzysztof Krejtz, Izabela Krejtz
Pubblicato in:
ETRA '23: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023, ISBN 9798400701504
Editore:
Association for Computing Machinery
DOI:
10.1145/3588015.3589512
Autori:
Mehtap Çakır, Anke Huckauf
Pubblicato in:
ETRA '23: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023, ISBN 9798400701504
Editore:
Association for Computing Machinery
DOI:
10.1145/3588015.3589513
Autori:
de Leon-Martinez, Santiago; Moro, Robert; Bielikova, Maria
Pubblicato in:
2023 Symposium on Eye Tracking Research and Applications (ETRA '23), 2023, ISBN 9798400701504
Editore:
Association for Computing Machinery
DOI:
10.1145/3588015.3589511
Autori:
Chuhan Jiao, Zhiming Hu, Mihai Bace, Andreas Bulling
Pubblicato in:
Proc. ACM Symposium on User Interface Software and Technology (UIST), 2023
Editore:
ACM DIGITAL LIBRARY
DOI:
10.1145/3586183.3606780
Autori:
Che, L., Raubal, M., & Kiefer, P.
Pubblicato in:
Proceedings of the 18th International Conference on Location Based Services., 2023
DOI:
10.34726/5639
Autori:
Hasnain Ali Shah, Salman Khalil, Sami Andberg, Anne M. Koivisto, Roman Bednarik
Pubblicato in:
Information Fusion, Numero 122, 2025, ISSN 1566-2535
Editore:
Elsevier BV
DOI:
10.1016/J.INFFUS.2025.103202
Autori:
Hasnain Ali Shah, Sami Andberg, Anne M. Koivisto, Roman Bednarik
Pubblicato in:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Numero 33, 2025, ISSN 1534-4320
Editore:
Institute of Electrical and Electronics Engineers (IEEE)
DOI:
10.1109/TNSRE.2025.3561043
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