Search Results - "Patamia, Rutherford Agbeshi"

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  1. 1

    RetVes segmentation: A pseudo-labeling and feature knowledge distillation optimization technique for retinal vessel channel enhancement by Ekong, Favour, Yu, Yongbin, Patamia, Rutherford Agbeshi, Sarpong, Kwabena, Ukwuoma, Chiagoziem C., Ukot, Akpanika Robert, Cai, Jingye

    Published in Computers in biology and medicine (01-11-2024)
    “…Recent advancements in retinal vessel segmentation, which employ transformer-based and domain-adaptive approaches, show promise in addressing the complexity of…”
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    Journal Article
  2. 2

    Bayesian Depth-Wise Convolutional Neural Network Design for Brain Tumor MRI Classification by Ekong, Favour, Yu, Yongbin, Patamia, Rutherford Agbeshi, Feng, Xiao, Tang, Qian, Mazumder, Pinaki, Cai, Jingye

    Published in Diagnostics (Basel) (07-07-2022)
    “…In recent years, deep learning has been applied to many medical imaging fields, including medical image processing, bioinformatics, medical image…”
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    Journal Article
  3. 3

    EVAE-Net: An Ensemble Variational Autoencoder Deep Learning Network for COVID-19 Classification Based on Chest X-ray Images by Addo, Daniel, Zhou, Shijie, Jackson, Jehoiada Kofi, Nneji, Grace Ugochi, Monday, Happy Nkanta, Sarpong, Kwabena, Patamia, Rutherford Agbeshi, Ekong, Favour, Owusu-Agyei, Christyn Akosua

    Published in Diagnostics (Basel) (22-10-2022)
    “…The COVID-19 pandemic has had a significant impact on many lives and the economies of many countries since late December 2019. Early detection with high…”
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    Journal Article
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    Joint Spatial Similarity-based Attention for Retina Vessel Segmentation with Super Resolution Encoding by Ekong, Favour, Yu, Yongbin, Patamia, Rutherford Agbeshi, Sarpong, Kwabena, Ukwuoma, Chiagoziem C., Cai, Jingye

    “…Machine learning methods based on fully convolutional networks have emerged as a viable choice for retinal vessel segmentation. However, when input samples…”
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    Conference Proceeding
  6. 6

    Music Genre Classification using Deep Neural Networks by Yimer, Mekonen Hiwot, Yu, Yongbin, Adu, Kwabena, Favour, Ekong, Liyih, Sinishaw Melikamu, Patamia, Rutherford Agbeshi

    “…Classifying music to its genre is one of the most challenging tasks in Music Information Retrieval (MIR). Music genre classification has been a critical…”
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    Conference Proceeding
  7. 7

    Hyperspectral image classification using Second-Order Pooling with Graph Residual Unit Network by Sarpong, Kwabena, Qin, Zhiguang, Ssemwogerere, Rajab, Patamia, Rutherford Agbeshi, Khamis, Asha Mzee, Gyamfi, Enoch Opanin, Ekong, Favour, Ukwuoma, Chiagoziem C.

    Published in Expert systems with applications (15-03-2024)
    “…Convolutional Neural Networks (CNNs) have become increasingly popular for hyperspectral image (HSI) classification due to their ability to capture spatial and…”
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    Journal Article
  8. 8

    Multimodal Speech Emotion Recognition Using Modality-specific Self-Supervised Frameworks by Patamia, Rutherford Agbeshi, Santos, Paulo E, Acheampong, Kingsley Nketia, Ekong, Favour, Sarpong, Kwabena, Kun, She

    Published 03-12-2023
    “…Emotion recognition is a topic of significant interest in assistive robotics due to the need to equip robots with the ability to comprehend human behavior,…”
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    Journal Article
  9. 9

    Transformer Based Multimodal Speech Emotion Recognition with Improved Neural Networks by Patamia, Rutherford Agbeshi, Jin, Wu, Acheampong, Kingsley Nketia, Sarpong, Kwabena, Tenagyei, Edwin Kwadwo

    “…With the procession of technology, the human-machine interaction research field is in growing need of robust automatic emotion recognition systems. Building…”
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    Conference Proceeding
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