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classification based » classification method (Expand Search), classification _ (Expand Search), classification using (Expand Search)
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Transfer Learning-Based Semi-Supervised Generative Adversarial Network for Malaria Classification
Published 2023“…Manual methods of malaria diagnosis are time-consuming that require a great deal of human expertise and efforts. Computer-based automated diagnosis of diseases is progressively becoming popular. …”
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Supervised term-category feature weighting for improved text classification
Published 2022“…It consists of a supervised weighting scheme defined based on a variant of the TF-ICF (Term Frequency-Inverse Category Frequency) model, embedded into three new lean classification approaches: (i) IterativeAdditive (flat), (ii) GradientDescentANN (1-layered), and (iii) FeedForwardANN (2-layered). …”
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
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Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk
Published 2025“…<p dir="ltr">This paper introduces novel nonparametric supervised learning techniques for classifying massive datasets, addressing key limitations of existing methods in Big and Streaming Data framework. …”
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Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation
Published 2024“…The model produces category-based feature vector representations that are used to augment the document representations and perform the classification task. …”
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Heuristic approaches for optimizing the performance of rule-based classifiers
Published 2017“…Rule-based classifiers are supervised learning techniques that are extensively used in various domains. …”
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Hyperspectral mapping of crust and mantle rocks in the UAE Al-Hajar mountains: Locating raw materials for Martian regolith simulants
Published 2021“…Feature extraction and hyperspectral classification such as the supervised Spectral Angle Mapper (SAM) and Spectral Feature Fitting (SFF) methods are carried out to map the different lithologies in the extended regions of interest. …”
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Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis
Published 2023“…Most mitigation techniques proposed to date are supervised—relying on adversarial retraining to improve the robustness—which is impractical. …”
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Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis
Published 2023“…Most mitigation techniques proposed to date are supervised—relying on adversarial retraining to improve the robustness—which is impractical. …”
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Digital Luxury Fashion Shows: Leveraging Interactive Marketing Opportunities Through Social Media Sentiment Analysis
Published 2024“…Sentiment analysis using supervised machine learning and lexicon-based were employed to test and identify the classification of 21,424 comments conveyed towards the different types of fashion shows. …”
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