Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Mounim El Yacoubi"'
Autor:
Ghizlane Khaissidi, Youssef Elfakir, Mostafa Mrabti, Mounîm El Yacoubi, Driss Chenouni, Zakia Lakhliai
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 4, Iss 1, Pp 6-0 (2016)
In this paper we present an unsupervised segmentation-free method for spotting and searching query, especially, for images documents in handwritten Arabic, for this, Histograms of Oriented Gradients (HOGs) are used as the feature vectors to represent
Externí odkaz:
https://doaj.org/article/2dd3d65cc8704d7bb12794b75bab07d3
Autor:
Holger Fröhlich, Noémi Bontridder, Dijana Petrovska-Delacréta, Enrico Glaab, Felix Kluge, Mounim El Yacoubi, Mayca Marín Valero, Jean-Christophe Corvol, Bjoern Eskofier, Jean-Marc Van Gyseghem, Stepháne Lehericy, Jürgen Winkler, Jochen Klucken
Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
Recent years have witnessed a strongly increasing interest in digital technology within medicine (sensor devices, specific smartphone apps) and specifically also neurology. Quantitative measures derived from digital technology could provide Digital B
Externí odkaz:
https://doaj.org/article/5bc8b5c20bbd4ab1a51849052901a6c5
Publikováno v:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06f18973ae4bb58ef0c9faf2ef3d4796
https://doi.org/10.5220/0011662700003417
https://doi.org/10.5220/0011662700003417
Publikováno v:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1c6d998478b452dce8719e624fc97c4
https://doi.org/10.5220/0011639800003417
https://doi.org/10.5220/0011639800003417
Autor:
Hajar Hammouch, Sambit Mohapatra, Mounim El-Yacoubi, Huafeng Qin, Hassan Berbia, Patrick Mader, Mohamed Chikhaoui
Publikováno v:
2022 International Conference on Cyber-Physical Social Intelligence (ICCSI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::195e1283a946d54c4a90bcbad8322359
https://doi.org/10.1109/iccsi55536.2022.9970561
https://doi.org/10.1109/iccsi55536.2022.9970561
Autor:
Hajar Hammouch, Mounim El-Yacoubi, Huafeng Qin, Aissam Berrahou, Hassan Berbia, Mohamed Chikhaoui
Publikováno v:
2021 International Conference on Cyber-Physical Social Intelligence (ICCSI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6de1138d6ce1d7eff64b88b97b8e4cb7
https://doi.org/10.1109/iccsi53130.2021.9736230
https://doi.org/10.1109/iccsi53130.2021.9736230
Publikováno v:
Transportation research. Part C, Emerging technologies
Transportation research. Part C, Emerging technologies, Elsevier, 2019, 101, pp.254-275. ⟨10.1016/j.trc.2019.02.013⟩
Transportation research. Part C, Emerging technologies, Elsevier, 2019, 101, pp.254-275. ⟨10.1016/j.trc.2019.02.013⟩
International audience; Fast urbanization generates increasing amounts of travel flows, urging the need for efficient transport planning policies. In parallel, mobile phone data have emerged as the largest mobility data source, but are not yet integr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a00c88305e67369558a697c0c8cf98a3
https://doi.org/10.1016/j.trc.2019.02.013
https://doi.org/10.1016/j.trc.2019.02.013
Publikováno v:
Applied Intelligence
Applied Intelligence, Springer Verlag (Germany), 2019, 49 (6), pp.2218-2232. ⟨10.1007/s10489-018-1353-5⟩
Applied Intelligence, Springer Verlag (Germany), 2019, 49 (6), pp.2218-2232. ⟨10.1007/s10489-018-1353-5⟩
International audience; Hashing has been widely applied to approximate nearest neighbor search for large-scale multimedia retrieval. A variety of hashing methods have been developed for learning an efficient binary data representation, mainly by rela
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18c85a6c4addbc5ddd354b1b6d76ea6b
https://doi.org/10.1007/s10489-018-1353-5
https://doi.org/10.1007/s10489-018-1353-5
This two-volume set constitutes the proceedings of the Third International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2022, which took place in Paris, France, in June 2022. The 98 full papers presented were carefully review
Publikováno v:
BIBE 2019: 19th International Conference on Bioinformatics and Bioengineering
BIBE 2019: 19th International Conference on Bioinformatics and Bioengineering, Oct 2019, Athens, Greece. pp.258-264, ⟨10.1109/BIBE.2019.00053⟩
BIBE
BIBE 2019: 19th International Conference on Bioinformatics and Bioengineering, Oct 2019, Athens, Greece. pp.258-264, ⟨10.1109/BIBE.2019.00053⟩
BIBE
International audience; This paper presents the Derivatives Combination Predictor (DCP), a novel model fusion algorithm for making long-term glucose predictions for diabetic people. First, using the history of glucose predictions made by several mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::badd046e9384d211dd9f64c5439ad750
https://hal.archives-ouvertes.fr/hal-02481403
https://hal.archives-ouvertes.fr/hal-02481403