يعرض 1 - 20 نتائج من 20 نتيجة بحث عن '(( elements per algorithm ) OR ((( query learning algorithm ) OR ( neural coding algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
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    Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study حسب Alaa Abd-alrazaq (17058018)

    منشور في 2024
    "…</p><h3>Objective</h3><p dir="ltr">In this paper, we propose a machine learning–based approach for identifying research gaps through the analysis of scientific literature. …"
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    Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis حسب Hassan Ali (3348749)

    منشور في 2023
    "…<p>Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …"
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    Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis حسب Hassan, Ali

    منشور في 2023
    "…Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …"
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    article
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    Correlation Clustering with Overlaps حسب Fakhereldine, Amin

    منشور في 2020
    "…We present a heuristic algorithm and a semi-exact algorithm for the Multi-Parameterized Cluster Editing with Vertex Splitting problem. …"
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    masterThesis
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    On the complexity of multi-parameterized cluster editing حسب Abu-Khzam, Faisal

    منشور في 2017
    "…In other words, Cluster Editing can be solved efficiently when the number of false positives/negatives per single data element is expected to be small compared to the minimum cluster size. …"
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    article
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    Oversampling techniques for imbalanced data in regression حسب Samir Brahim Belhaouari (9427347)

    منشور في 2024
    "…For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. …"
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    Developing an online hate classifier for multiple social media platforms حسب Joni Salminen (7434770)

    منشور في 2020
    "…We then experiment with several classification algorithms (Logistic Regression, Naïve Bayes, Support Vector Machines, XGBoost, and Neural Networks) and feature representations (Bag-of-Words, TF-IDF, Word2Vec, BERT, and their combination). …"