Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Alejandro Barredo Arrieta"'
Autor:
Alberto Barbado, Richard Benjamins, Alejandro Barredo Arrieta, Sergio Gil-Lopez, Raja Chatila, Francisco Herrera, Javier Del Ser, Adrien Bennetot, Natalia Díaz-Rodríguez, Salvador García, Siham Tabik, Daniel Molina
Publikováno v:
BIRD: BCAM's Institutional Repository Data
instname
Information Fusion
Information Fusion, Elsevier, 2020, 58, ⟨10.1016/j.inffus.2019.12.012⟩
Information Fusion, 2020, 58, ⟨10.1016/j.inffus.2019.12.012⟩
instname
Information Fusion
Information Fusion, Elsevier, 2020, 58, ⟨10.1016/j.inffus.2019.12.012⟩
Information Fusion, 2020, 58, ⟨10.1016/j.inffus.2019.12.012⟩
In the last years, Artificial Intelligence (AI) has achieved a notable momentum that may deliver the best of expectations over many application sectors across the field. For this to occur, the entire community stands in front of the barrier of explai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::840e7bf5c5b8530415751a593e7de710
http://hdl.handle.net/20.500.11824/1166
http://hdl.handle.net/20.500.11824/1166
Publikováno v:
IJCNN
The last decade has witnessed the proliferation of Deep Learning models in many applications, achieving unrivaled levels of predictive performance. Unfortunately, the black-box nature of Deep Learning models has posed unanswered questions about what
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c273af902116848d02af5f0d975e93d4
Publikováno v:
ITSC
Traffic flow forecasting is widely regarded as an essential gear in the complex machinery underneath Intelligent Transport Systems, being a critical component of avant-garde Automated Traffic Management Systems. Research in this area has stimulated a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6f594515e6e75009ba1da794fddf6c3
https://doi.org/10.1109/itsc.2019.8916985
https://doi.org/10.1109/itsc.2019.8916985
