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Several body functions deteriorate with age. The external signs of aging are easily identifiable. For example, the skin becomes dry, less elastic, and thins out, forming wrinkles. The skin of the face begins to appear looser due to a decrease in the levels of elastic and collagen fibers in the connective tissue. Additionally, melanin production in the hair follicle decreases with age, resulting in gray hair. Moreover, the senses of sight and hearing decline, so glasses and hearing aids may...
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Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role...
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Design and Validation of a New Diagnostic Tool for the Differentiation of Pathological Voices in Parkinsonian Patients.

Advances in experimental medicine and biologyยท2022
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Face Aging by Explainable Conditional Adversarial Autoencoders.

Christos Korgialas1, Evangelia Pantraki1, Angeliki Bolari1

  • 1Department of Informatics, Faculty of Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.

Journal of Imaging
|May 26, 2023
PubMed
Summary

This study introduces an explainable face aging framework using Generative Adversarial Networks (GANs) and explainable AI (xAI). The xAI-CAAE model enhances realism in age-progressed and regressed images by providing interpretable feedback.

Failed At:

2026-06-19T13:40:08.494890+00:00

Keywords:
explainable AI (xAI)face aginggenerative adversarial networks (GANs)

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