Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Hamid Zouaki"'
Publikováno v:
Neural Networks. 150:149-166
Graph Neural Networks (GNNs) are powerful architectures for learning on graphs. They are efficient for predicting nodes, links and graphs properties. Standard GNN variants follow a message passing schema to update nodes representations using informat
Publikováno v:
Knowledge-Based Systems. 269:110509
Publikováno v:
Neurocomputing. 392:168-180
Early diagnosis of breast cancer, when it is small and has not spread, can make the disease easier to treat which increases the patient's chances of survival. The recent proposed methods for the early diagnosis of breast cancer, and while showing gre
Publikováno v:
ICMLA
Relational datasets extracted from citation networks, recommender systems, and social networks among others open up a new application domain of Artificial Intelligence (AI) over graph-structured data. However, the irregular structure of graph data hi
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783030491604
AIAI (1)
AIAI (1)
Predicting the activity of chemical compounds against cancer is a crucial task. Active chemical compounds against cancer help pharmaceutical drugs producers in the conception of anticancer medicines. Still the innate way of representing chemical comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb2473bdddf1fe01a603b67a1bb443e7
https://doi.org/10.1007/978-3-030-49161-1_19
https://doi.org/10.1007/978-3-030-49161-1_19
Publikováno v:
International Journal of Multimedia and Ubiquitous Engineering. 12:1-14
Autor:
Abdelkhalak Bahri, Hamid Zouaki
Publikováno v:
International Journal of Computer Network and Information Security. 8:18-26
In this work, we propose an image search method by visual content (CBIR), which is based on the color descriptor. The proposed method take account the spatial distribution of colors and make the signature partially invariant under rotation. The basic
Publikováno v:
Computer methods and programs in biomedicine. 157
Background and objective Radiologists often have a hard time classifying mammography mass lesions which leads to unnecessary breast biopsies to remove suspicions and this ends up adding exorbitant expenses to an already burdened patient and health ca
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789812879899
UNet
UNet
Today, mass production multimedia is observed with high variability of form and content, which complicates the management of databases. The use the research techniques based on content has become increasingly necessary rather than the metadata, such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba3e4dbd492d5c93e59ba0f2c0b6dd9b
https://doi.org/10.1007/978-981-287-990-5_29
https://doi.org/10.1007/978-981-287-990-5_29
Publikováno v:
International Journal of Advanced Computer Science and Applications. 7
In this paper we present a method to search q circulant matrices; the concatenation of these circulant matrices with circulant identity matrix generates quasi-cyclic codes with high various code rate q/(q+1) (q an integer). This method searches circu