Detailed characterization of the dataset. حسب Rodrigo Gutiérrez Benítez (19746443)

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Performances of text augmentation approaches. حسب Rodrigo Gutiérrez Benítez (19746443)

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Hyperparameters for each classification model. حسب Rodrigo Gutiérrez Benítez (19746443)

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SentiGAN configuration parameters. حسب Rodrigo Gutiérrez Benítez (19746443)

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Results for the baseline. حسب Rodrigo Gutiérrez Benítez (19746443)

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Characterization of datasets. حسب Rodrigo Gutiérrez Benítez (19746443)

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EDA augmentation parameters. حسب Rodrigo Gutiérrez Benítez (19746443)

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Method of work. حسب Rodrigo Gutiérrez Benítez (19746443)

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Flow of the experiments. حسب Rodrigo Gutiérrez Benítez (19746443)

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<i>F1-score</i> results [40]. حسب Rodrigo Gutiérrez Benítez (19746443)

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Distribution of articles by augmentation method. حسب Rodrigo Gutiérrez Benítez (19746443)

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A comparison of with other published cancer prediction algorithms. حسب Ruiyu Zhan (21602031)

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The actual training effect of four algorithms on original photo data (All images are original images taken by the author). حسب Xiaojun Wang (50332)

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Data and Scripts for 'Application of Multidimensional Cognitive Ability Tests in Computer-Assisted Diagnosis of Attention-Deficit/Hyperactivity Disorder and Its Subtypes in Children: Based on A Genetic Algorithm Optimized Back-Propagation Neural Network Predictive Model' حسب Wang (20310746)

G R code algorithm. حسب R. Sakthivel (2589547)

"…<div><p>Loss-less data compression becomes the need of the hour for effective data compression and computation in VLSI test vector generation and testing in addition to hardware AI/ML computations. …"

Minimal data set. حسب Peiwen Zhang (1863202)

Dispersion signal in principal and residual space in PCA-FFT and KPCA-FFT algorithm. حسب Emmanuel Ndongue Esseme (22615091)

The specific architecture of the FcaNet-cycleGan style transfer method. حسب Xiaojun Wang (50332)

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Coprime array with interpolated array elements. حسب Chuanxi Xing (20141665)

"…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…"

Numbers of iterations (#Ite) and eigenvalue calculations (#Eig) in the DC algorithm on the random and chain graph datasets. حسب Tomokaze Shiratori (9635271)

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