Interpretable Explainability for Face Expression Recognition

Autor: Shingjergi, K., Iren, Y.D., Klemke, R., Urlings, C.C.J., Böttger, Felix

Publikováno v: Shingjergi, K, Iren, Y D, Klemke, R, Urlings, C C J & Böttger, F 2023, Interpretable Explainability for Face Expression Recognition . in Heterodox Methods for Interpretable and Efficient Artificial Intelligence, 2022 . Zenodo, The first International Conference on Hybrid Human-Artificial Intelligence, Amsterdam, Netherlands, 13/06/22 . https://doi.org/10.5281/zenodo.7740019
Heterodox Methods for Interpretable and Efficient Artificial Intelligence, 2022

Training facial emotion recognition models requires large sets of data and costly annotation processes. Additionally, it is challenging to explain the operation principles and the outcomes of such models in a way that is interpretable and understanda

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b7823feb323452f63cb72abf3923f2c

Ethical FRAPPE – an adapted draft framework for ethical AIED

Autor: Agarwal, B., Urlings, C.C.J., van Lankveld, G., Klemke, R.

Publikováno v: Agarwal, B, Urlings, C C J, van Lankveld, G & Klemke, R 2022, Ethical FRAPPE – an adapted draft framework for ethical AIED . in I Jivet, D Di Mitri, J Schneider, Z Papamitsiou & M Fominykh (eds), Proceedings of the Doctoral Consortium of the 17th European Conference on Technology Enhanced Learning . vol. 3292, CEUR-WS.org, Toulouse, CEUR Workshop Proceedings, vol. 3292, pp. 46-54, 17th European Conference on Technology Enhanced Learning, Toulouse, France, 12/09/22 . < https://ceur-ws.org/Vol-3292/DCECTEL2022_paper06.pdf >

Artificial Intelligence (AI) is pervading our lives in numerous ways today. It is important to apply ethical principles to guide the development and usage of AI systems to prevent harms or discrimination through AI algorithms. This has led to various

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bb946946897cc55bb2aa4c80810086a6
https://research.ou.nl/en/publications/05ec9cf0-1026-417d-82a3-8a6ce6a1b058

Sense the classroom: AI-supported synchronous online education for a resilient new normal

Autor: Shingjergi, K., Iren, Y.D., Urlings, C.C.J., Klemke, R., Fominykh, Mikhail, Aristeidou, Maria

Publikováno v: European Association of Technology Enhanced Learning (EATEL) 2021: EC-TEL Doctoral Consortium, 64-70
STARTPAGE=64;ENDPAGE=70;TITLE=European Association of Technology Enhanced Learning (EATEL) 2021

Following the COVID-19 pandemic, as the user-base of online synchronous communication systems skyrocketed, the shortcomings of synchronous online learning systems became more visible. Any attempt to overcome these shortcomings should be considered wo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::b0c358f6b0cc920ad31c9dadcdc8d06c
https://research.ou.nl/en/publications/51bbdddf-95a2-4f70-b356-50fe75b02182