Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Davide Aureli"'
Publikováno v:
Data in Brief, Vol 34, Iss , Pp 106611- (2021)
Universities and other organizations providing higher level education are collectively called Higher Education Institutions. Their detail data, for instance number of students, number of graduates, etc., constitute the basis for several important ana
Externí odkaz:
https://doaj.org/article/960c2f297ebe4935bf1f700467f987c1
Autor:
Marco Polverini, Francesco G. Lavacca, Jaime Galan-Jimenez, Davide Aureli, Antonio Cianfrani, Marco Listanti
Publikováno v:
2022 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN).
Publikováno v:
2022 18th International Conference on Network and Service Management (CNSM).
Publikováno v:
2022 25th Conference on Innovation in Clouds, Internet and Networks (ICIN).
Publikováno v:
Computer Networks
Computer Networks, Elsevier, 2022, 202, pp.108624. ⟨10.1016/j.comnet.2021.108624⟩
Computer Networks, Elsevier, 2022, 202, pp.108624. ⟨10.1016/j.comnet.2021.108624⟩
International audience; In this work, we provide a Machine Learning framework for augmenting the Differentiated Services (DiffServ) protocol with fine-grained dynamic traffic classification. The framework is called L-DiffServ. It is composed of two c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be6b18c6579dcd00484ad2c0055277b3
http://hdl.handle.net/11573/1616329
http://hdl.handle.net/11573/1616329
Publikováno v:
Data in Brief, Vol 34, Iss, Pp 106611-(2021)
Data in Brief
Data in Brief
Universities and other organizations providing higher level education are collectively called Higher Education Institutions. Their detail data, for instance number of students, number of graduates, etc., constitute the basis for several important ana
Publikováno v:
MethodsX
MethodsX, Vol 8, Iss, Pp 101208-(2021)
MethodsX, Vol 8, Iss, Pp 101208-(2021)
The imputation of missing values in the detail data of Educational Institutions is a difficult task. These data contain multivariate time series, which cannot be satisfactory imputed by many existing imputation techniques. Moreover, almost all the da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60845e2b9552e72bf642fdc442a33aca
http://hdl.handle.net/11573/1484860
http://hdl.handle.net/11573/1484860
Autor:
Alessio Diamanti, Jose Manuel Sanchez Vilchez, Davide Aureli, Stefano Secci, Antonio Cianfrani
Publikováno v:
IEEE/IFIP Network Operations and Management Symposium (NOMS)
IEEE/IFIP Network Operations and Management Symposium (NOMS), Apr 2020, Budapest, Hungary. ⟨10.1109/NOMS47738.2020.9110430⟩
NOMS
IEEE/IFIP Network Operations and Management Symposium (NOMS), Apr 2020, Budapest, Hungary. ⟨10.1109/NOMS47738.2020.9110430⟩
NOMS
International audience; Quality of Service (QoS) management in IP networks today relies on static configuration of classes of service definitions and related forwarding priorities. Packets are actually classified according to the DiffServ architectur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f9d50054915aec5b56717f558963879
https://hal.archives-ouvertes.fr/hal-02501916/file/203768_1.pdf
https://hal.archives-ouvertes.fr/hal-02501916/file/203768_1.pdf
Educational Institutions data constitute the basis for several important analyses on the educational systems; however they often contain not negligible shares of missing values, for several reasons. We consider in this work the relevant case of the E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b06f533ab226581a8ece91a724fd5354
http://hdl.handle.net/11573/1466386
http://hdl.handle.net/11573/1466386