Search Results - Rabhi, Besma

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  1. 1
    Multi-lingual character handwriting framework based on an integrated deep learning based sequence-to-sequence attention model

    Multi-lingual character handwriting framework based on an integrated deep learning based sequence-to-sequence attention model by Rabhi, Besma, Elbaati, Abdelkarim, Boubaker, Houcine, Hamdi, Yahia, Hussain, Amir, Alimi, Adel M.

    Published in Memetic computing
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  2. 2
    Deep learned BLSTM for online handwriting modeling simulating the Beta-Elliptic approach

    Deep learned BLSTM for online handwriting modeling simulating the Beta-Elliptic approach by Hamdi, Yahia, Boubaker, Houcine, Rabhi, Besma, Qahtani, Abdulrahman M., Alharithi, Fahd S., Almutiry, Omar, Dhahri, Habib, Alimi, Adel M.

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  3. 3
    Multi-lingual handwriting recovery framework based on convolutional denoising autoencoder with attention model

    Multi-lingual handwriting recovery framework based on convolutional denoising autoencoder with attention model by Rabhi, Besma, Elbaati, Abdelkarim, Boubaker, Houcine, Pal, Umapada, Alimi, Adel M.

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  4. 4
    A Novel Multi-head Attention and Long Short-Term Network for Enhanced Inpainting of Occluded Handwriting

    A Novel Multi-head Attention and Long Short-Term Network for Enhanced Inpainting of Occluded Handwriting by Rabhi, Besma, Elbaati, Abdelkarim, Hamdi, Yahia, Dhahri, Habib, Pal, Umapada, Chabchoub, Habib, Ouahada, Khmaies, Alimi, Adel M.

    Published in Cognitive computation
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  5. 5
    Automatic Detection of COVID-19 Using a Stacked Denoising Convolutional Autoencoder

    Automatic Detection of COVID-19 Using a Stacked Denoising Convolutional Autoencoder by Dhahri, Habib, Rabhi, Besma, Chelbi, Slaheddine, Almutiry, Omar, Mahmood, Awais, M. Alimi, Adel

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  6. 6
    Multi-head Self-attention and BGRU for Online Arabic Grapheme Text Segmentation

    Multi-head Self-attention and BGRU for Online Arabic Grapheme Text Segmentation by Hamdi, Yahia, Rabhi, Besma, Dhieb, Thameur, Alimi, Adel M.

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  7. 7
    Handwriting Recognition Based on Temporal Order Restored by the End-to-End System

    Handwriting Recognition Based on Temporal Order Restored by the End-to-End System by Rabhi, Besma, Elbaati, Abdelkarim, Hamdi, Yahia, Alimi, Adel M.

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