Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Irene, Celino"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
The spread of AI and black-box machine learning models made it necessary to explain their behavior. Consequently, the research field of Explainable AI was born. The main objective of an Explainable AI system is to be understood by a human as the fina
Externí odkaz:
https://doaj.org/article/e3c2de2798754e9aad2eb973a9f29f78
Publikováno v:
Semantic Web. 14:617-638
Cities worldwide are facing the challenge of digital information governance: different and competing service providers operating Internet of Things (IoT) devices often produce and maintain large amounts of data related to the urban environment. As a
Publikováno v:
Human Computation. 9:1-21
More and more frequently, digital applications make use of Artificial Intelligence (AI) capabilities to provide advanced features; on the other hand, human-in-the-loop approaches are on the rise to involve people in AI-powered pipelines for data coll
Autor:
Anisa Rula, Gloria Re Calegari, Antonia Azzini, Davide Bucci, Alessio Carenini, Ilaria Baroni, Irene Celino
Publikováno v:
The Semantic Web ISBN: 9783031334542
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3703951f4228bbee6bf38eb40c9317a1
https://hdl.handle.net/11379/578425
https://hdl.handle.net/11379/578425
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 4, Iss 4, Pp 2109-2130 (2015)
The ever-increasing availability of linked open geospatial data provides an unprecedented source of geo-information to describe urban environments. This wealth of data should be turned into actionable knowledge: for example, open data could be used a
Externí odkaz:
https://doaj.org/article/b5b8d17b743941b893928f846862584a
Publikováno v:
Data Intelligence, Vol 2, Iss 3, Pp 417-442 (2020)
With the rise of linked data and knowledge graphs, the need becomes compelling to find suitable solutions to increase the coverage and correctness of data sets, to add missing knowledge and to identify and remove errors. Several approaches – mostly
This document is the output of T5.2 on Quality assurance. It contains the main activities performed on Data Quality, set up during the project and applied in the second acceleration period. It describes the methodology used, the template created, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9611db2af5cd946c0b20630fee2dd9c9
D4.8 contains the implementation and description of two tools created for the ACTION project: an infographic to have a general and aggregated overview on pilots information, and a tool to create dedicated dashboards for pilots
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::522f33b0e33c89e3a4edadf75785f7be
Publikováno v:
Frontiers in Artificial Intelligence
The spread of AI and black-box machine learning models made it necessary to explain their behavior. Consequently, the research field of Explainable AI was born. The main objective of an Explainable AI system is to be understood by a human as the fina
Autor:
Damiano, Scandolari, Ilaria, Baroni, Irene, Celino, Gonzal��z Guardia Esteban, Gloria, Re Calegari
This deliverable contains the description of the dashboard developed for ACTION project, containing the summary of the general information related to the pilots involved in the project.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34bba6b301b4ad3d10510c6c2bf7cd6f