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    Robust Training of Social Media Image Classification Models by Firoj Alam (14158866)

    Published 2022
    Subjects: “…Social media image classification…”
  3. 83

    Multi-Label Image Classification by Feature Attention Network by Zheng Yan (194231)

    Published 2019
    “…The label correlation is the key to solve the multi-label classification but it is too abstract to model. Most solutions try to learn image label dependencies to improve multi-label classification performance. …”
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    A Bayesian Approach to Feature Selection in Classification Problems by Emarly, Maher

    Published 2024
    “…A Master of Science thesis in Mathematics by Maher Emarly entitled, “A Bayesian Approach to Feature Selection in Classification Problems”, submitted in July 2024. Thesis advisor is Dr. …”
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    doctoralThesis
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    Drone/Bird Classification Based on Features of Tracks Trajectories by Kengeskanov, Maksat

    Published 2023
    “…Standard Machine Learning methods such as SVM and Random Forest are used for learning this classification. Features based on the kinematics, Gabor filter, and Gray Level Co-occurrence Matrix are utilized. …”
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    The effect of ZrOx modification of graphene nanoribbon on its adsorption for NOx: A DFT investigation by Ahmad I. Ayesh (10188469)

    Published 2022
    “…Though the adsorption energy of NO<sub>x</sub> gas is boosted, generally, for AGNR structures due to modification with ZrO<sub>x</sub>, the doped structures have greater adsorption energy when compared with the decoration ones. …”
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    On the Performance of Time Frequency Distributions in A-Scan Signals Classification by Deriche, Mohamed

    Published 2020
    “…We show that the means and spreads extracted from such signals can be used as robust features for classification of A-scans signals. We also show the best discrimination among different classes of A-scans can be obtained using the Gabor transform.…”
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    article
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    Supervised term-category feature weighting for improved text classification by Attieh, Joseph

    Published 2022
    “…Text classification is a central task in Natural Language Processing (NLP) that aims at categorizing text documents into predefined classes or categories. …”
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    article