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Showing 1 - 9 results of 9 for search 'unsupervised classification method', query time: 0.05s Refine Results
  1. 1
    Breast Density Estimation in Mammograms Using Unsupervised Image Segmentation

    Breast Density Estimation in Mammograms Using Unsupervised Image Segmentation by Alhusari, Khaldoon

    Published 2023
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  2. 2
    Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges

    Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges by Muhammad Usama (3629090)

    Published 2019
    “…In addition, unsupervised learning can unconstrain us from the need for labeled data and manual handcrafted feature engineering, thereby facilitating flexible, general, and automated methods of machine learning. …”
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  3. 3
    Target Detection Using Learning Methods

    Target Detection Using Learning Methods by Sahnoon, Mohammad Moufeed

    Published 2017
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  4. 4
    Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering

    Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering by Saadia Jamil (22045946)

    Published 2024
    “…<p dir="ltr">Clustering has proved to be a successful classification method when it comes to dealing with multiview data. …”
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  5. 5
    Application of Data Mining to Predict and Diagnose Diabetic Retinopathy

    Application of Data Mining to Predict and Diagnose Diabetic Retinopathy by Haniyeh, Maryam

    Published 2024
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  6. 6
    An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering

    An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering by Surjeet Dalal (4906894)

    Published 2023
    “…The proposed model was based on various phases: (a) removal of noise, (b) selection of feature attributes, (c) image classification, and (d) tumor segmentation. At first, the MR images were normalized using the Wiener filtering method, and the Gray level co-occurrences matrix (GLCM) was used to extract the relevant feature attributes. …”
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  7. 7
    Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis

    Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis by Hassan Ali (3348749)

    Published 2023
    “…We thus propose Con-Detect—a Contribution based Detection method—for detecting adversarial attacks against NLP classifiers. …”
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  8. 8
    Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis

    Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis by Hassan, Ali

    Published 2023
    “…We thus propose Con-Detect—a Contribution based Detection method—for detecting adversarial attacks against NLP classifiers. …”
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  9. 9
    Use of Data Mining Techniques to Detect Fraud in Procurement Sector

    Use of Data Mining Techniques to Detect Fraud in Procurement Sector by AL HAMMADI, SUMAYYA ABDULLA

    Published 2022
    “…This research aims to analyze the reliability and efficiency of data mining techniques in detecting and preventing fraud in the procurement sector in the UAE and globally. The method used in this research is a classification of models and algorithms used in data mining. …”
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