Cette recherche s'applique uniquement aux ressources en bibliothèque.
8 résultats
Trier par:
Ajouter à la liste:
    • Multi-supports
    Sélectionner

    Ahlan wa sahlan : méthode d'arabe égyptien du Caire

    Boutros, Wadie
    Weber, Nicolas, Azab, Mahmoud
    Le Caire : Dar el-nashr Hatier
    1992
    Recherche de la disponibilité
    Prêt entre bibliothèques Plus…
    Titre: Ahlan wa sahlan : méthode d'arabe égyptien du Caire [Ensemble multi-supports] / par Wadie Boutros ; avec la collab. de Nicolas Weber ; préf. de Mahmoud Azab
    Auteur: Boutros, Wadie
    Contributeur: Weber, Nicolas; Azab, Mahmoud
    Editeur: Le Caire : Dar el-nashr Hatier
    Date: 1992
    Collation: 231 p. : ill. ; 27 cm + 1 cd audio
    Sujet RERO: Arabe égyptien (dialecte) - Manuels d'enseignement
    Sujet RERO - forme: [Multimédias]
    No RERO: R008548224
    Permalien:
    http://data.rero.ch/01-R008548224/html

    • Article
    Sélectionner

    A Comparative Analysis of Content-based Geolocation in Blogs and Tweets

    Pappas, Konstantinos, Azab, Mahmoud, Mihalcea, Rada
    arXiv.org, Nov 19, 2018
    © ProQuest LLC All rights reserved, Engineering Database, Publicly Available Content Database, ProQuest Engineering Collection, ProQuest Technology Collection, ProQuest SciTech Collection, Materials Science & Engineering Database, ProQuest Central (new), ProQuest Central Korea, SciTech Premium Collection, Technology Collection, ProQuest Central Essentials, ProQuest One Academic, Engineering Collection (ProQuest)
    Disponible
    Plus…
    Titre: A Comparative Analysis of Content-based Geolocation in Blogs and Tweets
    Auteur: Pappas, Konstantinos; Azab, Mahmoud; Mihalcea, Rada
    Contributeur: Mihalcea, Rada (pacrepositoryorg)
    Sujet: Social Networks ; Error Reduction ; Social Networks ; Digital Media ; Content Analysis ; Multimedia ; Twitter Inc
    Description: The geolocation of online information is an essential component in any geospatial application. While most of the previous work on geolocation has focused on Twitter, in this paper we quantify and compare the performance of text-based geolocation methods on social media data drawn from both Blogger and Twitter. We introduce a novel set of location specific features that are both highly informative and easily interpretable, and show that we can achieve error rate reductions of up to 12.5% with respect to the best previously proposed geolocation features. We also show that despite posting longer text, Blogger users are significantly harder to geolocate than Twitter users. Additionally, we investigate the effect of training and testing on different media (cross-media predictions), or combining multiple social media sources (multi-media predictions). Finally, we explore the geolocability of social media in relation to three user dimensions: state, gender, and industry.
    Fait partie de: arXiv.org, Nov 19, 2018

    • Plusieurs versions

    Effect of tension lap splice on the behavior of high strength self-compacted concrete beams

    El-Azab, Mahmoud A, Mohamed, Hatem M, Farahat, Ahmed
    Alexandria Engineering Journal, June 2014, Vol.53(2), pp.319-328

    • Plusieurs versions

    Association between subclinical hypothyroidism and diabetic nephropathy in type 2 diabetes

    Nsr-Allah, Ayman Abd-Elrahman, Abd-El Fatah, Azza, Azab, Mahmoud, Fawzi, Maggie
    The Egyptian Journal of Internal Medicine, 2018, Vol.30(3), p.160-167 [Revue évaluée par les pairs]

    • Article
    Sélectionner

    Speaker Naming in Movies

    Azab, Mahmoud, Wang, Mingzhe, Smith, Max, Kojima, Noriyuki, Deng, Jia, Mihalcea, Rada
    arXiv.org, Sep 24, 2018
    © ProQuest LLC All rights reserved, Engineering Database, Publicly Available Content Database, ProQuest Engineering Collection, ProQuest Technology Collection, ProQuest SciTech Collection, Materials Science & Engineering Database, ProQuest Central (new), ProQuest Central Korea, SciTech Premium Collection, Technology Collection, ProQuest Central Essentials, ProQuest One Academic, Engineering Collection (ProQuest)
    Disponible
    Plus…
    Titre: Speaker Naming in Movies
    Auteur: Azab, Mahmoud; Wang, Mingzhe; Smith, Max; Kojima, Noriyuki; Deng, Jia; Mihalcea, Rada
    Contributeur: Mihalcea, Rada (pacrepositoryorg)
    Sujet: Big Bang Cosmology ; Optimization ; Naming ; Audio Equipment ; Computation and Language ; Computer Vision and Pattern Recognition
    Description: We propose a new model for speaker naming in movies that leverages visual, textual, and acoustic modalities in an unified optimization framework. To evaluate the performance of our model, we introduce a new dataset consisting of six episodes of the Big Bang Theory TV show and eighteen full movies covering different genres. Our experiments show that our multimodal model significantly outperforms several competitive baselines on the average weighted F-score metric. To demonstrate the effectiveness of our framework, we design an end-to-end memory network model that leverages our speaker naming model and achieves state-of-the-art results on the subtitles task of the MovieQA 2017 Challenge.
    Fait partie de: arXiv.org, Sep 24, 2018

    • Article
    Sélectionner

    Speaker Naming in Movies

    Azab, Mahmoud, Wang, Mingzhe, Smith, Max, Kojima, Noriyuki, Deng, Jia, Mihalcea, Rada
    Cornell University
    Disponible
    Plus…
    Titre: Speaker Naming in Movies
    Auteur: Azab, Mahmoud; Wang, Mingzhe; Smith, Max; Kojima, Noriyuki; Deng, Jia; Mihalcea, Rada
    Sujet: Computer Science - Computation And Language ; Computer Science - Computer Vision And Pattern Recognition
    Description: We propose a new model for speaker naming in movies that leverages visual, textual, and acoustic modalities in an unified optimization framework. To evaluate the performance of our model, we introduce a new dataset consisting of six episodes of the Big Bang Theory TV show and eighteen full movies covering different genres. Our experiments show that our multimodal model significantly outperforms several competitive baselines on the average weighted F-score metric. To demonstrate the effectiveness of our framework, we design an end-to-end memory network model that leverages our speaker naming model and achieves state-of-the-art results on the subtitles task of the MovieQA 2017 Challenge.
    Identifiant: 1809.08761 (ARXIV ID)

    • Article
    Sélectionner

    A Comparative Analysis of Content-based Geolocation in Blogs and Tweets

    Pappas, Konstantinos, Azab, Mahmoud, Mihalcea, Rada
    Cornell University
    Disponible
    Plus…
    Titre: A Comparative Analysis of Content-based Geolocation in Blogs and Tweets
    Auteur: Pappas, Konstantinos; Azab, Mahmoud; Mihalcea, Rada
    Sujet: Computer Science - Computation And Language ; I.2.7
    Description: The geolocation of online information is an essential component in any geospatial application. While most of the previous work on geolocation has focused on Twitter, in this paper we quantify and compare the performance of text-based geolocation methods on social media data drawn from both Blogger and Twitter. We introduce a novel set of location specific features that are both highly informative and easily interpretable, and show that we can achieve error rate reductions of up to 12.5% with respect to the best previously proposed geolocation features. We also show that despite posting longer text, Blogger users are significantly harder to geolocate than Twitter users. Additionally, we investigate the effect of training and testing on different media (cross-media predictions), or combining multiple social media sources (multi-media predictions). Finally, we explore the geolocability of social media in relation to three user dimensions: state, gender, and industry. Comment: 31 pages, 6 figures, 8 tables
    Identifiant: 1811.07497 (ARXIV ID)

    • Plusieurs versions

    Phosphocreatine Improves Cardiac Dysfunction by Normalizing Mitochondrial Respiratory Function through JAK2/STAT3 Signaling Pathway and

    Qaed, Eskandar, Wang, Jiaqi, Almoiliqy, Marwan, Song, Yanlin, Liu, Wu, Chu, Peng, Alademi, Sawsan, Alademi, Maria, Li, Hailong, Alshwmi, Mohammed, Al-Azab, Mahmoud, Ahsan, Anil, Mahdi, Samar, Han, Guozhu, Niu, Mengyue, Ali, Amr, Shopit, Abdullah, Wang, Hongyan, Li, Xiaodong, Qaid
    Oxidative Medicine and Cellular Longevity, 2019, Vol.2019, 18 pages [Revue évaluée par les pairs]