Výsledky vyhledávání

Deep Learning Based Emotion Classification through EEG Spectrogram Images

Autor: Battisti L., Ferrato A., Limongelli C., Mezzini M., Sansonetti G.

Emotion modeling for social robotics has the great potential to improve the life quality for the elderly and individuals with disabilities by making communication, care, and interactions more effective. It can help individuals with communication diff

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3668::b29cbe08e765a2794d280f709542267d
https://ceur-ws.org/Vol-3359/paper27.pdf

Zobrazit plný text záznamu

Akademický článek

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

A Deep Learning-based Approach to Model Museum Visitors

Autor: Alessio Ferrato, Limongelli, C., Mezzini, M., Sansonetti, G.

Publikováno v: Scopus-Elsevier

Although ubiquitous and fast access to the Internet allows us to admire objects and artworks exhibited worldwide from the comfort of our home, visiting a museum or an exhibition remains an essential experience today. Current technologies can help mak

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7950e2dd192183fc833c0497fdb77f52
https://hdl.handle.net/11590/410539

Zobrazit plný text záznamu

Exploiting Micro Facial Expressions for More Inclusive User Interfaces

Autor: Alessio Ferrato, Limongelli, C., Mezzini, M., Sansonetti, G.

Publikováno v: Scopus-Elsevier

Current image/video acquisition and analysis techniques allow for not only the identification and classification of objects in a scene but also more sophisticated processing. For example, there are video cameras today able to capture micro facial exp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b11f7a0adf490623737e200948cddb91
http://ceur-ws.org/Vol-2903/IUI21WS-SOCIALIZE-4.pdf

Zobrazit plný text záznamu

University Dropout Prediction through Educational Data Mining Techniques: A Systematic Review

Autor: Agrusti F., Bonavolonta G., Mezzini M.

Publikováno v: Je-LKS : Journal of e-Learning and Knowledge Society, Vol 15, Iss 3 (2019)

The dropout rates in the European countries is one of the major issues to be faced in a near future as stated in the Europe 2020 strategy. In 2017, an average of 10.6% of young people (aged 18-24) in the EU-28 were early leavers from education and tr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::144893c82e09bac1a0fde44fc334f01f
http://je-lks.org/ojs/index.php/Je-LKS_EN/article/view/1135017