Personalized Avatar Creation using Face Recognition حسب Michael Lyons (4250128)

Data_Sheet_1_Classification of elderly pain severity from automated video clip facial action unit analysis: A study from a Thai data repository.PDF حسب Patama Gomutbutra (9377012)

Data_Sheet_3_Classification of elderly pain severity from automated video clip facial action unit analysis: A study from a Thai data repository.PDF حسب Patama Gomutbutra (9377012)

Data_Sheet_6_Classification of elderly pain severity from automated video clip facial action unit analysis: A study from a Thai data repository.PDF حسب Patama Gomutbutra (9377012)

Data_Sheet_4_Classification of elderly pain severity from automated video clip facial action unit analysis: A study from a Thai data repository.PDF حسب Patama Gomutbutra (9377012)

Data_Sheet_5_Classification of elderly pain severity from automated video clip facial action unit analysis: A study from a Thai data repository.PDF حسب Patama Gomutbutra (9377012)

Data_Sheet_2_Classification of elderly pain severity from automated video clip facial action unit analysis: A study from a Thai data repository.PDF حسب Patama Gomutbutra (9377012)

Distribution of synthetic facial acne images for each confidence score value ranging between 0 and 1. حسب Hazem Zein (18388025)

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Predicted confidence score using face manipulation detection on a total of 2000 synthetic facial acne images. حسب Hazem Zein (18388025)

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Confusion matrix for each CNN model tested on unseen images. حسب Hazem Zein (18388025)

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Key issues reflected different perspectives and consequential subjective differences in weightage to priorities applied by clinicians and patients. حسب Saumya Jamuar (14828237)

The Pearson correlation between human and machine scores of the 125 faces under study using different algorithmic approaches. حسب Abdullah Hayajneh (15218971)

Gradcam representations for InceptionResNetV2 model. حسب Hazem Zein (18388025)

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Block diagram representing the methodology. حسب Hazem Zein (18388025)

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CNN models performance evaluation using the following metrics: Accuracy, precision, recall and F1 score. حسب Hazem Zein (18388025)

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GAN diagram composed of two models: Generator and discriminator. حسب Hazem Zein (18388025)

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Parameters used in training StyleGAN2 model, during training a snapshot of the model is saved every 10 ticks. حسب Hazem Zein (18388025)

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Parameters used in training CNN models. حسب Hazem Zein (18388025)

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StyleGAN2 models FID graphs. حسب Hazem Zein (18388025)

الموضوعات:

Confusion matrix for each CNN model on test split. حسب Hazem Zein (18388025)

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