Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Giuseppe De Gregorio"'
Publikováno v:
Journal of Imaging, Vol 9, Iss 1, p 17 (2023)
The growth of digital libraries has yielded a large number of handwritten historical documents in the form of images, often accompanied by a digital transcription of the content. The ability to track the position of the words of the digital transcrip
Externí odkaz:
https://doaj.org/article/8e129c16140045e5a2a5901de3550db9
Publikováno v:
Cell Division, Vol 14, Iss 1, Pp 1-9 (2019)
Abstract Background Mechanisms controlling DNA resection at sites of damage and affecting genome stability have been the subject of deep investigation, though their complexity is not yet fully understood. Specifically, the regulatory role of post-tra
Externí odkaz:
https://doaj.org/article/96b6e117d8c3408e9253667aa182393d
Publikováno v:
Journal of Imaging, Vol 6, Iss 11, p 117 (2020)
This paper proposes a performance model for estimating the user time needed to transcribe small collections of handwritten documents using a keyword spotting system (KWS) that provides a number of possible transcriptions for each word image. The mode
Externí odkaz:
https://doaj.org/article/0cbca73e491449ae91a4de8233c3ce54
Autor:
Matteo Ferrari, Diego Dibitetto, Giuseppe De Gregorio, Vinay V Eapen, Chetan C Rawal, Federico Lazzaro, Michael Tsabar, Federica Marini, James E Haber, Achille Pellicioli
Publikováno v:
PLoS Genetics, Vol 11, Iss 1, p e1004928 (2015)
The Mre11-Rad50-Xrs2 nuclease complex, together with Sae2, initiates the 5'-to-3' resection of Double-Strand DNA Breaks (DSBs). Extended 3' single stranded DNA filaments can be exposed from a DSB through the redundant activities of the Exo1 nuclease
Externí odkaz:
https://doaj.org/article/45c4e9bf900f4165a8718166d84934cd
Autor:
Giuseppe De Gregorio
Publikováno v:
A Companion to the Intellectual Life of the Palaeologan Period ISBN: 9789004527089
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1ee98bad2a48119ac941ebecd131888
https://doi.org/10.1163/9789004527089_013
https://doi.org/10.1163/9789004527089_013
Publikováno v:
Applications of Evolutionary Computation ISBN: 9783031024610
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc177bac111b48689d5ca246e9699c44
http://hdl.handle.net/11386/4804678
http://hdl.handle.net/11386/4804678
Autor:
Nicole D. Cilia, Giuseppe De Gregorio, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli, Antonio Parziale
Publikováno v:
Engineering Applications of Artificial Intelligence: the International Journal of Intelligent Real-Time Automation, 111, pp. 1-12
Engineering Applications of Artificial Intelligence: the International Journal of Intelligent Real-Time Automation, 111, 1-12
Engineering Applications of Artificial Intelligence: the International Journal of Intelligent Real-Time Automation, 111, 1-12
Contains fulltext : 250428.pdf (Publisher’s version ) (Closed access)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aab03a30734a2e288f339a40558fa6d7
https://repository.ubn.ru.nl/handle/2066/250428
https://repository.ubn.ru.nl/handle/2066/250428
Autor:
Giuseppe De Gregorio, Sanket Biswas, Mohamed Ali Souibgui, Asma Bensalah, Josep Lladós, Alicia Fornés, Angelo Marcelli
Publikováno v:
Frontiers in Handwriting Recognition ISBN: 9783031216473
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::222bc60490012240b3ed14bf3b09472a
https://doi.org/10.1007/978-3-031-21648-0_1
https://doi.org/10.1007/978-3-031-21648-0_1
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197444
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cb652fd87d71cb84214a4019f7dea9d
https://doi.org/10.1007/978-3-031-19745-1_4
https://doi.org/10.1007/978-3-031-19745-1_4
Publikováno v:
Journal of Imaging; Volume 9; Issue 1; Pages: 17
The growth of digital libraries has yielded a large number of handwritten historical documents in the form of images, often accompanied by a digital transcription of the content. The ability to track the position of the words of the digital transcrip