Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mebarka Allaoui"'
Publikováno v:
IEEE Access, Vol 11, Pp 96923-96938 (2023)
In the midst of the ongoing COVID-19 pandemic, there has been a surge in scientific literature aimed at understanding the virus and its impact. However, it has become challenging for a researcher to deal with thousands of articles published daily. Th
Externí odkaz:
https://doaj.org/article/195fbe2d447a442c8c734b53db7bd87b
In this paper, we introduce a novel algorithm that unifies manifold embedding and clustering (UEC) which efficiently predicts clustering assignments of the high dimensional data points in a new embedding space. The algorithm is based on a bi-objectiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::185e577a35af99b0d2b11787bef6b908
https://doi.org/10.36227/techrxiv.16926754.v1
https://doi.org/10.36227/techrxiv.16926754.v1
Autor:
Mohammed Lamine Kherfi, Mebarka Allaoui, Nour El-Houda Sayah Ben Aissa, Abdellah Ben Belghith
Publikováno v:
2021 International Conference on Recent Advances in Mathematics and Informatics (ICRAMI).
The advent of the COVID-19 pandemic caused by the Sars-CoV2 virus has caused serious damage in different areas. This has prompted thousands of researchers from different disciplines (biology, medicine, artificial intelligence, economics, etc.) to pub
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030519346
ICISP
ICISP
Dimensionality reduction is widely used in machine learning and big data analytics since it helps to analyze and to visualize large, high-dimensional datasets. In particular, it can considerably help to perform tasks like data clustering and classifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2a0e20207291c2dd4c6b2e5b6877c22
https://doi.org/10.1007/978-3-030-51935-3_34
https://doi.org/10.1007/978-3-030-51935-3_34
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030519346
ICISP
ICISP
Object detection is considered as the cornerstone of many modern applications such as Drone vision and Self-driven cars. Object detectors, mainly those which are based on Convolutional Neural Net-works (CNNs) have received great attention from many r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8ccc24745a694464ccbbc48c5a901dd
https://doi.org/10.1007/978-3-030-51935-3_31
https://doi.org/10.1007/978-3-030-51935-3_31
Autor:
Perez, Manuel Ignacio1 (AUTHOR) maperezc@udec.cl, Karelovic, Bruno1 (AUTHOR), Molina, Roberto1 (AUTHOR), Saavedra, Rodrigo2 (AUTHOR), Cerulo, Pierluigi1 (AUTHOR), Cabrera, Guillermo1 (AUTHOR)
Publikováno v:
International Journal of Digital Earth. Jan2022, Vol. 15 Issue 1, p2223-2238. 16p.
This volume constitutes selected papers presented during the Third International Conference on Intelligent Systems and Pattern Recognition, ISPR 2023, held in Hammamet, Tunisia, in May 2023. The 44 full papers presented were thoroughly reviewed and
This volume constitutes the refereed proceedings of the 9th International Conference on Image and Signal Processing, ICISP 2020, which was due to be held in Marrakesh, Morocco, in June 2020. The conference was cancelled due to the COVID-19 pandemic.T