بدائل البحث:
augmentations » augmentation (توسيع البحث), alimentation (توسيع البحث)
argumentation » augmentation (توسيع البحث), fragmentation (توسيع البحث)
augmentations » augmentation (توسيع البحث), alimentation (توسيع البحث)
argumentation » augmentation (توسيع البحث), fragmentation (توسيع البحث)
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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
منشور في 2022"…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …"
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Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
منشور في 2023"…Additionally, our proposed model optimizes the features using a genetic algorithm. Optimal feature selection performances a crucial role in this domain, enhancing the overall accuracy of the document classification system while reducing the time complexity associated with selecting the most relevant features from this large-dimensional space. …"
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XBeGene: Scalable XML Documents Generator by Example Based on Real Data
منشور في 2012"…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …"
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conferenceObject -
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K Nearest Neighbor OveRsampling approach: An open source python package for data augmentation
منشور في 2022"…This paper introduces K Nearest Neighbor OveRsampling (KNNOR) Algorithm — a novel data augmentation technique that considers the distribution of data and takes into account the k nearest neighbors while generating artificial data points. …"
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Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques
منشور في 2020"…This conclusion was achieved after preprocessing a number of data values from these data sets.</p><h2>Other Information</h2><p dir="ltr">Published in: Algorithms<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/a13080202" target="_blank">https://dx.doi.org/10.3390/a13080202</a></p>…"
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Anonymizing multimedia documents
منشور في 2016"…We provide a sanitizing MD∗-algorithm to enforce de-linkability along with a utility function to evaluate the utility of multimedia documents that is preserved after the sanitizing process. …"
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Data Embedding in HEVC Video by Modifying the Partitioning of Coding Units
منشور في 2019الموضوعات: احصل على النص الكامل
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A genetic algorithm for testable data path synthesis
منشور في 2017احصل على النص الكامل
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conferenceObject -
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An XML Document Comparison Framework
منشور في 2001"…Various algorithms for comparing hierarchically structured data, e.g., XML documents, have been proposed in the literature. …"
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Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem
منشور في 2016"…This research note describes Response-Based Unit Segmentation (REBUS), a “latent class detection” technique used in partial least squares–structural equation modeling (PLS-SEM) to examine data heterogeneity. …"
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Oversampling techniques for imbalanced data in regression
منشور في 2024"…For tabular data we conducted a comprehensive experiment using various models trained on both augmented and non-augmented datasets, followed by performance comparisons on test data. …"
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Structural similarity evaluation between XML documents and DTDs
منشور في 2007"…In this paper, we propose an algorithm for measuring the structural similarity between an XML document and a Document Type Definition (DTD) considered as the simplest way for specifying structural constraints on XML documents. …"
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conferenceObject -
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Efficient Approximate Conformance Checking Using Trie Data Structures
منشور في 2021"…We show how our algorithm supports the definition of a budget for alignment computation and also augment it with strategies for meta-heuristic optimization and pruning of the search space. …"
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KNNOR: An oversampling technique for imbalanced datasets
منشور في 2021"…The proposed technique called K-Nearest Neighbor OveRsampling approach (KNNOR) performs a three step process to identify the critical and safe areas for augmentation and generate synthetic data points of the minority class. …"
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A multi-pretraining U-Net architecture for semantic segmentation
منشور في 2025"…Particularly, we present a novel non-sequential multi-pretraining U-Net architecture and demonstrate that employing a number of persistent parallel models can boost the effectiveness of the segmentation procedures. The proposed approach makes advantage of data augmentation to generate newly synthesized images, which are subsequently processed using a watershed mask. …"
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