Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Marco Canaparo"'
Publikováno v:
Healthcare Analytics, Vol 3, Iss , Pp 100172- (2023)
Social media platforms, such as Twitter, have been paramount in the COVID-19 context due to their ability to collect public concerns about the COVID-19 vaccination campaign, which has been underway to end the COVID-19 pandemic. This worldwide campaig
Externí odkaz:
https://doaj.org/article/703befc42ef147dfab249443905d71cc
Publikováno v:
Applied Sciences, Vol 12, Iss 21, p 10773 (2022)
Version Control and Source Code Management Systems, such as GitHub, contain a large amount of unstructured historical information of software projects. Recent studies have introduced Natural Language Processing (NLP) to help software engineers retrie
Externí odkaz:
https://doaj.org/article/659eefc623c34d60a2872f8e97baa5b3
Autor:
Elisabetta Ronchieri, Marco Canaparo
Publikováno v:
Health Systems. 12:85-97
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e75520ab236a18aecdb61b65f3b9555
https://doi.org/10.1080/20476965.2022.2162445
https://doi.org/10.1080/20476965.2022.2162445
Autor:
Marco, Canaparo, Barbara, Demin
Questo documento descrive l'attività svolta per permettere al Sistema di Gestione delle Presenze INFN di leggere i codici digitati nel marcatempo. Questa funzionalità non era stata prevista nel Sistema Presenze quando era gestito da un'azienda este
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7392fb7a0887d90c8d4551fc40652e20
Publikováno v:
Proceedings of International Symposium on Grids & Clouds 2022 — PoS(ISGC2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b9e4275ac5b6d36cc67a8b084fa3acd
https://doi.org/10.22323/1.415.0020
https://doi.org/10.22323/1.415.0020
Publikováno v:
Proceedings of International Symposium on Grids & Clouds 2021 — PoS(ISGC2021).
Context: Natural Language Processing (NLP) is a branch of artificial intelligence that extracts information from language. In the field of software engineering, NLP has been employed to extract key information from free-form text, to generate models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f802e338cc04e47940c58c516142d26
https://doi.org/10.22323/1.378.0025
https://doi.org/10.22323/1.378.0025
Autor:
Marco Canaparo, Elisabetta Ronchieri
Publikováno v:
Journal of Integrated Design and Process Science. 22:5-25
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::108a37d87ec599b8e02ecda063f3df06
https://doi.org/10.3233/jid-2018-0008
https://doi.org/10.3233/jid-2018-0008
Autor:
Doina Cristina Duma, Yue Yang, Alessandro Costantini, Marco Canaparo, Elisabetta Ronchieri, Davide Salomoni
Publikováno v:
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
Predicting changes proneness in software modules is an open area of research. This activity implies dealing with code changes datasets that are typically either incomplete or absent. To obtain a change dataset properly constructed, a new dictionary o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e918eab978afb7d1f5e88f08f0eec720
https://doi.org/10.1109/nss/mic42677.2020.9508053
https://doi.org/10.1109/nss/mic42677.2020.9508053
Publikováno v:
Computational Science and Its Applications – ICCSA 2020 ISBN: 9783030588014
ICCSA (2)
ICCSA (2)
Background: Defect prediction on unlabelled datasets is a challenging and widespread problem in software engineering. Machine learning is of great value in this context because it provides techniques - called unsupervised - that are applicable to unl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90ed069f948cb13aea73c4cee93adf86
https://doi.org/10.1007/978-3-030-58802-1_25
https://doi.org/10.1007/978-3-030-58802-1_25
Publikováno v:
Proceedings of International Symposium on Grids & Clouds 2019 — PoS(ISGC2019).
Machine Learning (ML) has proven to be of great value in a variety of Software Engineering (SE) tasks to conduct, e.g., software defect prediction and estimation and test code generation. To accomplish these tasks, software datasets (i.e. collections
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02b1b9fdbb880f041acf689330bebb83
https://doi.org/10.22323/1.351.0018
https://doi.org/10.22323/1.351.0018