The structure of the data sample. by Wenbing Shi (5806160)

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AUROC Scores for TCR’s CDR3-peptide binding prediction for models trained and tested using various splitting techniques. by Leonardo V. Castorina (13390095)

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Changes in FID values of different algorithms. by Xiaojun Wang (50332)

“…The model comprehensively utilizes the image restoration and style transfer capabilities of the attention mechanism and the cycle consistency adversarial network, and introduces an improved attention module, which can adaptively highlight the key visual elements in the illustration, thereby maintaining artistic integrity during the style transfer process. …”

Changes in loss values for different algorithms. by Xiaojun Wang (50332)

“…The model comprehensively utilizes the image restoration and style transfer capabilities of the attention mechanism and the cycle consistency adversarial network, and introduces an improved attention module, which can adaptively highlight the key visual elements in the illustration, thereby maintaining artistic integrity during the style transfer process. …”

PATH (with persistence fingerprint) runs significantly faster than TNet-BP, a representative binding affinity prediction algorithm that uses persistent homology, on larger protein-... by Yuxi Long (11024307)

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The principle of sample data augmentation. by Wenbing Shi (5806160)

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Performance comparison of MFPSP with existing predictors on independent test data. by Chao Wang (146527)

MATLAB Code and Example Data for Fast and Accurate Phase Unwrapping of Complex Phase Maps by Davood Khodadad (20827802)

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Data and code for: Automatic fish scale analysis by Christian Vogelmann (21646472)

“…</p><h3>Includeed in this repository:</h3><ul><li><b>Raw data files:</b></li><li><code>comparison_all_scales.csv</code> – comparison_all_scales.csv - manually verified vs. automated measurements of 1095 coregonid scales</li></ul><ul><li><ul><li><code>Validation_data.csv</code> – manually measured scale data under binocular</li><li><code>Parameter_correction_numeric.csv</code> – calibration data (scale radius vs. fish length/weight)</li></ul></li><li><b>Statistical results:</b></li><li><ul><li><code>comparison_stats_core_variables.csv</code> – verification statistics (bias, relative error, limits of agreement)</li><li><code>Validation_statistics.csv</code> – summary statistics and model fits (manual vs. automated)</li></ul></li><li><b>Executable script (not GUI):</b></li><li><ul><li><code>Algorithm.py</code> – core processing module for scale feature extraction<br>→ <i>Note: The complete Coregon Analyzer application (incl. …”

Antivirus Engines (PowerPoint) by Paul A. Gagniuc (1818325)

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Prime Number Source Code with Dataset by Ayman Mostafa (19839867)

Comparison of ROC curve between deep learning and 12 handcrafted features using four machine learning algorithms. by Rui-Si Hu (5337227)

ROC curve for each ML algorithm. by Caroline L. Alves (14271413)

Oresme by Mehmet Keçeci (14301782)

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The source code includes training/validation scripts, pre-trained model weights, configuration files, and data processing tools. by Ju Liang (4277062)

Hyperspectral Camouflage Detection Dataset and Codes by Qiran Wang (22051883)

Greedy optimization algorithm. by Alexis Bénichou (19832361)

Schematic representation of file structures before and after virus infections by Paul A. Gagniuc (1818325)

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Comparison data for <i>Neolamprologus multifasciatus</i>. by Nicolai Kraus (19949667)

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Sample data for <i>Neolamprologus multifasciatus</i>. by Nicolai Kraus (19949667)

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