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Supervised term-category feature weighting for improved text classification
منشور في 2022"…Experimental results on five benchmark datasets show that our lean approaches mostly improve text classification accuracy while requiring significantly less computation time compared with their deep model alternatives.…"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
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NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY
منشور في 2022"…Therefore, this thesis proposed a Novel Stacking Classification and Prediction (NSCP) algorithm based on AAL for the older people with Multi-strategy Combination based Feature Selection (MCFS) and Novel Clustering Aggregation (NCA) algorithms. …"
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The automation of the development of classification models and improvement of model quality using feature engineering techniques
منشور في 2023"…<p>Recently pipelines of machine learning-based classification models have become important to codify, orchestrate, and automate the workflow to produce an effective machine learning model. …"
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
منشور في 2022احصل على النص الكامل
doctoralThesis -
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An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm
منشور في 2021"…In other words, the selection of a qualitative and discriminative set of features, aiming to reduce dimensionality that helps to achieve a successful pattern classification. In this work, we use a biologically inspired genetic algorithm because crossover employed in such algorithm significantly improve the quality of multimodal discriminative set of features and hence improve the classification accuracy for diversified natural scene text images. …"
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TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
منشور في 2020"…The final classification decision for both models is estimated by incorporating the node's past behavior with the machine learning algorithm. …"
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A systematic review of text classification research based on deep learning models in Arabic language
منشور في 2020"…This paper undertakes a systematic review of the latest research in the field of the classification of Arabic texts. Several machine learning techniques can be used for text classification, but we have focused only on the recent trend of neural network algorithms. …"
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احصل على النص الكامل
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
منشور في 2024"…To improve the effectiveness and efficiency of the UniBFS algorithm, Redundant Features Elimination algorithm (RFE) is presented in this paper. …"
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Performance Prediction Using Classification
منشور في 2019"…The use of classification as a data mining approach for performance prediction has been studied by many eminent researchers. …"
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Learning-Based Automatic Modulation Classification
منشور في 2015احصل على النص الكامل
doctoralThesis -
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Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification
منشور في 2025"…<p dir="ltr">In recent years, deep learning methods have dramatically improved medical image analysis, though earlier models faced difficulties in capturing intricate spatial and contextual details. …"
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Simultaneous identification of robust synergistic subnetwork markers for effective cancer prognosis
منشور في 2014"…The identified subnetwork makers can lead to better cancer classifiers with improved overall performance and consistency across independent cancer datasets.…"
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Comparative Study on Arabic Text Classification: Challenges and Opportunities
منشور في 2022"…This made finding certain text classification algorithms that fit a specific language or a set of languages a difficult task for researchers. …"
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A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition
منشور في 2025"…Random Forest (RF) is simpler and more efficient than other ML algorithms. Some modified versions of RF have been developed to improve classification accuracy in the literature. …"