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KNNOR: An oversampling technique for imbalanced datasets
Published 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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22
Allocation and re-allocation of data in a grid using an adaptive genetic algorithm
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Structural similarity evaluation between XML documents and DTDs
Published 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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25
A genetic algorithm for corrective retesting. (c1995)
Published 1995Get full text
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Efficient Approximate Conformance Checking Using Trie Data Structures
Published 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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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
Published 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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29
Improved search-tree algorithms for the cluster edit problem. (c2011)
Published 2011Get full text
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masterThesis -
30
Using Machine Learning Algorithms to Forecast Solar Energy Power Output
Published 2025“…We focused on the first 30-min, 3-h, 6-h, 12-h, and 24-h windows to gain an appreciation of the impact of forecasting duration on the accuracy of prediction using the selected machine learning algorithms. The study results show that Random Forest outperformed all other tested algorithms. …”
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A Graph Heuristic Approach for the Data Path Allocation Problem
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masterThesis -
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A Hash-Based Assessment and Recovery Algorithm for Distributed Healthcare Systems Using Blockchain Technology
Published 2020“…Numerous damage assessment and recovery algorithms have been proposed in the literature. In this work, we present a distributed algorithm that uses blockchain technology and hash tables to solve the information warfare problem in healthcare systems. …”
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masterThesis -
34
Scalable parallel algorithms for dynamic programming on tree decomposition. (c2017)
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masterThesis -
35
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Predicting Dropouts among a Homogeneous Population using a Data Mining Approach
Published 2019“…Our research relies solely on pre-college and college performance data available in the institutional database. Our research reveals that the Gradient Boosted Trees is a robust algorithm that predicts dropouts with an accuracy of 79.31% and AUC of 88.4% using only pre-enrollment data. …”
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37
Estimating Construction Project Duration Using a Machine Learning Algorithm
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masterThesis -
38
A novel XML document structure comparison framework based-on sub-tree commonalities and label semantics
Published 2011“…Various algorithms for comparing hierarchically structured data, XML documents in particular, have been proposed in the literature. …”
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