The growth of data publishing, sharing, and mining mechanisms in various fields of industry
and science has led to an increase in the flow of data, making it an important asset that …

The lack of large datasets and high-quality annotated data often limits the development of
accurate and robust machine-learning models within the medical and surgical domains. In …

Abstract Machine learning can predict neurosurgical diagnosis and outcomes, power
imaging analysis, and perform robotic navigation and tumor labeling. State-of-the-art models …

Artificial intelligence (AI) holds great promise in healthcare as it can significantly advances
disease diagnosis using diverse medical datasets. However, learning generalizable …

Data sharing plays a vital role both in advancing scientific research and improving business
success through the creation of data-driven product and service innovations. However …

Tato práce prezentuje několik experimentů týkajících se detekce syntetických obrázků
obličejů. Bylo zjištěno, že klasifikační model standardní architektury ResNET-50, trénovaný …

Data sharing plays a vital role both in advancing scientific research and improving business
success through the creation of data-driven product and service innovations. However …