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augmentations » augmentation (Expand Search), argumentation (Expand Search), alimentation (Expand Search)
augmentations » augmentation (Expand Search), argumentation (Expand Search), alimentation (Expand Search)
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FPGA-Based Network Traffic Classification Using Machine Learning
Published 2020Get full text
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Prediction of Multiple Clinical Complications in Cancer Patients to Ensure Hospital Preparedness and Improved Cancer Care
Published 2022“…Other highlights are (1) a novel set of easily available features for the prediction of the aforementioned clinical complications and (2) the use of data augmentation methods and model-scoring-based hyperparameter tuning to address the problem of class disproportionality, a common challenge in medical datasets and often the reason behind poor event prediction rate of various predictive models reported so far. …”
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Vehicular-OBUs-As-On-Demand-Fogs
Published 2020Get full text
Get full text
Get full text
Get full text
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A Framework for Predictive Modeling in Sustainable Projects
Published 2012Get full text
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Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images
Published 2023“…The class imbalance issue was handled through multiple data augmentation methods to overcome the biases. …”
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Resilience analytics: coverage and robustness in multi-modal transportation networks
Published 2018“…In this work, we propose MUME, an efficient algorithm for Multi-modal Urban Mobility Estimation, that takes advantage of the special structure of the supra-Laplacian matrix of the transportation multiplex, to compute the coverage of the system. …”
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Cohen syndrome and early-onset epileptic encephalopathy in male triplets: two disease-causing mutations in VPS13B and NAPB
Published 2023“…Sanger sequencing verified the segregation of the two recessive gene variants with the phenotype in family members. The prediction algorithms support the pathogenicity of these variants. …”
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Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study
Published 2024“…Furthermore, future studies could evaluate more efficient modeling algorithms, especially those combining topic modeling with statistical uncertainty quantification, such as conformal prediction.…”