Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Luca Di Grazia"'
Autor:
Maria Grazia Violante, Federica Marcolin, Enrico Vezzetti, Luca Ulrich, Gianluca Billia, Luca Di Grazia
Publikováno v:
Applied Sciences, Vol 9, Iss 11, p 2218 (2019)
This study proposes a novel quality function deployment (QFD) design methodology based on customers’ emotions conveyed by facial expressions. The current advances in pattern recognition related to face recognition techniques have fostered the cross
Externí odkaz:
https://doaj.org/article/02deb82ed53948499975eef6af251c9b
Autor:
Luca Di Grazia, Michael Pradel
Publikováno v:
ACM Computing Surveys Volume 55, Issue 11
The immense amounts of source code provide ample challenges and opportunities during software development. To handle the size of code bases, developers commonly search for code, e.g., when trying to find where a particular feature is implemented or w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49b5d943babc64a65d0fc54184db0333
https://doi.org/10.1145/3565971
https://doi.org/10.1145/3565971
Autor:
Luca Di Grazia, Michael Pradel
Publikováno v:
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::299ab2397214a44efda5489fad930248
https://doi.org/10.1145/3540250.3549114
https://doi.org/10.1145/3540250.3549114
Autor:
Enrico Vezzetti, Luca Di Grazia, Maral Aminpour, Federica Marcolin, Jack A. Tuszynski, Vahid Rezania
This article reports on the results of research aimed to translate biometric 3D face recognition concepts and algorithms into the field of protein biophysics in order to precisely and rapidly classify morphological features of protein surfaces. Both
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9109ea6eddcb2bb77b6dc09f03d0018
http://hdl.handle.net/11583/2847569
http://hdl.handle.net/11583/2847569
Autor:
Federica Marcolin, Luca Ulrich, Gianluca Billia, Luca Di Grazia, Maria Grazia Violante, Enrico Vezzetti
Publikováno v:
Applied Sciences
Volume 9
Issue 11
Applied Sciences, Vol 9, Iss 11, p 2218 (2019)
Volume 9
Issue 11
Applied Sciences, Vol 9, Iss 11, p 2218 (2019)
This study proposes a novel quality function deployment (QFD) design methodology based on customers&rsquo
emotions conveyed by facial expressions. The current advances in pattern recognition related to face recognition techniques have fostered t
emotions conveyed by facial expressions. The current advances in pattern recognition related to face recognition techniques have fostered t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92f72d2bd339ee2ba1af05281836172a
http://hdl.handle.net/11583/2734430
http://hdl.handle.net/11583/2734430