Summary of the metrics of the different trained algorithms based on mean and 95% confidence intervals (calculated using t-Student) for the Testing process in each dataset. حسب Jaime B. Matas-Bustos (21772430)

T2-Flair model training process using labeled data. حسب Fengning Liang (20927493)

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T2-Flair model training process using all data. حسب Fengning Liang (20927493)

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T2-Flair model training process using all data. حسب Fengning Liang (20927493)

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Feature Importance Analysis of the Algorithms expressed by SHAP indices. حسب M. A. Habib (16839161)

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Statistical analysis of the prediction results from the ML algorithms. حسب M. A. Habib (16839161)

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Optimization process of adaptive weight adjustment based on the SCSO. حسب Fengning Liang (20927493)

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Average processing time versus GPU utilization. حسب Shinan Ding (20783580)

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Coarse-grained motion segmentation process. حسب Shinan Ding (20783580)

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The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

"…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …"

K-SVD dictionary learning process. حسب Li Jiaqing (21212614)

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Hyperparameter settings. حسب Qingnan Ji (22662198)

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ATF-DF-WA Algorithm Experimental Code حسب jinhao zhong (20616116)

"…<p dir="ltr">The provided code files serve the following purposes:</p><ul><li><b>Preprocess.py</b> – This script handles text preprocessing tasks, such as cleaning and preparing raw text data for further processing.</li><li><b>txtvec.py</b> – This script is responsible for text vectorization, converting processed text into numerical representations suitable for machine learning algorithms.…"

Noise reduction on testing sets from STEAD. حسب Zhenjing Yao (22189970)

"…We propose a novel seismic random noise suppression method based on enhanced variational mode decomposition (VMD) with grey wolf optimization (GWO) algorithm, which applies the envelope entropy to evaluate the wolf individual fitness, determine the grey wolf hierarchy, and obtain the optimized key elements <i><i>K</i></i> and <i>α</i> in VMD. …"

<b>DDS3 - Dataset of mosaic sputum smear microscopy images for evaluation of bacillus detection algorithms</b> حسب Marly G F Costa (19812192)

"…<p dir="ltr"><b>DDS3 - Dataset of mosaic sputum smear microscopy images for evaluation of bacillus detection algorithms</b></p><p dir="ltr">This data set corresponds to mosaic images that are composed of a 10x10 arrangement of patches (negatives and positives) from the DDS1 dataset, resulting in a 400x400 pixel image. …"

The CGO risk prediction process based on data augmentation and neuroevolution. حسب Wenbing Shi (5806160)

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Different steps of the experiment and data processing. حسب Isabel Barradas (20614853)

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Comparison of running time under different parameter settings. حسب Yixian Wen (12201388)

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parameter settings. حسب Yanyan Dong (1304145)

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parameter settings. حسب Yanyan Dong (1304145)

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