Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Britez, Marcelo Rodas"'
Autor:
Meegahapola, Lakmal, Droz, William, Kun, Peter, de Gotzen, Amalia, Nutakki, Chaitanya, Diwakar, Shyam, Correa, Salvador Ruiz, Song, Donglei, Xu, Hao, Bidoglia, Miriam, Gaskell, George, Chagnaa, Altangerel, Ganbold, Amarsanaa, Zundui, Tsolmon, Caprini, Carlo, Miorandi, Daniele, Hume, Alethia, Zarza, Jose Luis, Cernuzzi, Luca, Bison, Ivano, Britez, Marcelo Rodas, Busso, Matteo, Chenu-Abente, Ronald, Gunel, Can, Giunchiglia, Fausto, Schelenz, Laura, Gatica-Perez, Daniel
Mood inference with mobile sensing data has been studied in ubicomp literature over the last decade. This inference enables context-aware and personalized user experiences in general mobile apps and valuable feedback and interventions in mobile healt
Externí odkaz:
http://arxiv.org/abs/2211.03009
Autor:
Bontempelli, Andrea, Britez, Marcelo Rodas, Li, Xiaoyue, Zhao, Haonan, Erculiani, Luca, Teso, Stefano, Passerini, Andrea, Giunchiglia, Fausto
We focus on the development of AIs which live in lifelong symbiosis with a human. The key prerequisite for this task is that the AI understands - at any moment in time - the personal situational context that the human is in. We outline the key challe
Externí odkaz:
http://arxiv.org/abs/2205.10123
The representation of the personal context is complex and essential to improve the help machines can give to humans for making sense of the world, and the help humans can give to machines to improve their efficiency. We aim to design a novel model re
Externí odkaz:
http://arxiv.org/abs/2108.08234