Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Ivan Donadello"'
Publikováno v:
Data Intelligence, Vol 5, Iss 3 (2023)
Externí odkaz:
https://doaj.org/article/5293b3725dc846a8b490f8bb0d8ce14f
Autor:
Giulia Bassi, Ivan Donadello, Silvia Gabrielli, Silvia Salcuni, Claudio Giuliano, Stefano Forti
Publikováno v:
JMIR Formative Research, Vol 6, Iss 2, p e27500 (2022)
BackgroundMobile health solutions aimed at monitoring tasks among people with diabetes mellitus (DM) have been broadly applied. However, virtual coaches (VCs), embedded or not in mobile health, are considered valuable means of improving patients’ h
Externí odkaz:
https://doaj.org/article/abad39be8bb34f7e827c6778ac6d42fd
Publikováno v:
Frontiers in Psychology, Vol 9 (2018)
Measurement is a crucial issue in psychological assessment. In this paper a contribution to this task is provided by means of the implementation of an adaptive algorithm for the assessment of depression. More specifically, the Adaptive Testing System
Externí odkaz:
https://doaj.org/article/410fd87a087c413c8ed06e32d6d1c790
Publikováno v:
IEEE Intelligent Systems. 37:103-110
Autor:
Luciano Serafini, Artur d’Avila Garcez, Samy Badreddine, Ivan Donadello, Michael Spranger, Federico Bianchi
The recent availability of large-scale data combining multiple data modalities has opened various research and commercial opportunities in Artificial Intelligence (AI). Machine Learning (ML) has achieved important results in this area mostly by adopt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::725d08d08755b9117c89e3cb1b2bc608
https://doi.org/10.3233/faia210498
https://doi.org/10.3233/faia210498
Autor:
Giulia Bassi, Ivan Donadello, Silvia Gabrielli, Silvia Salcuni, Claudio Giuliano, Stefano Forti
Publikováno v:
JMIR formative research. 6(2)
Background Mobile health solutions aimed at monitoring tasks among people with diabetes mellitus (DM) have been broadly applied. However, virtual coaches (VCs), embedded or not in mobile health, are considered valuable means of improving patients’
Autor:
Giulia Bassi, Ivan Donadello, Silvia Gabrielli, Silvia Salcuni, Claudio Giuliano, Stefano Forti
BACKGROUND Mobile health solutions aimed at monitoring tasks among people with diabetes mellitus (DM) have been broadly applied. However, virtual coaches (VCs), embedded or not in mobile health, are considered valuable means of improving patients’
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a971f7ee80eaf50b6e5ba985bc5aab60
https://doi.org/10.2196/preprints.27500
https://doi.org/10.2196/preprints.27500
Autor:
Ivan Donadello, Mauro Dragoni
Publikováno v:
AIxIA 2020 – Advances in Artificial Intelligence ISBN: 9783030770907
AI*IA
AI*IA
The interest in Explainable Artificial Intelligence (XAI) research is dramatically grown during the last few years. The main reason is the need of having systems that beyond being effective are also able to describe how a certain output has been obta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd7747c9a7224e9a4f2b37b18f18a38f
https://doi.org/10.1007/978-3-030-77091-4_4
https://doi.org/10.1007/978-3-030-77091-4_4
Automated persuasion systems (APS) aim to persuade a user to believe something by entering into a dialogue in which arguments and counterarguments are exchanged. To maximize the probability that an APS is successful in persuading a user, it can ident
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1835cb6dc7248d7c864ee4bbe6667446
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783030772109
AIME
AIME
Systems that aim at supporting users on behavior change are expected to implement strategies that can both motivate and gain the users’ trust, like the use of human understandable justifications for system’s decisions. While the literature has de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82fc990e775eada353a7230787e83753
https://doi.org/10.1007/978-3-030-77211-6_32
https://doi.org/10.1007/978-3-030-77211-6_32