Recent ML advances have shown significant promise in assisting clinical decision-making in healthcare. In particular, the integration of ML predictive models into clinical settings has the potential to transform patient care through more personalized, timely,…
Since cardiovascular diseases (CVDs) continue to be the primary cause of morbidity and death worldwide, better patient outcomes depend on early and precise diagnosis. Although they are essential for clinical decision-making, traditional cardiovascular imaging…
The continuous growth of machine learning methods has driven significant advances in areas such as natural language processing and computer vision. However, the performance of these models heavily depends on the quantity and quality of labeled data available f…
Medical imaging technologies, such as magnetic resonance imaging (MRI) and computed tomography (CT), are invaluable tools in modern medicine - allowing for safe, non-invasive diagnosis and treatment planning. However, leveraging these imaging techniques for sc…
In recent years, Federated Learning (FL) has emerged as a powerful solution for privacy-preserving machine learning, enabling multiple parties - so-called clients - to collaboratively train models without directly sharing their data. This paradigm is particula…
As the capabilities of Machine Learning models grow, so does the cost of power consumption and time. In the era of deep learning, models have become larger and larger. While the complexity of these models leads to greater performance, they also require more co…
The proliferation of user-generated content on online platforms like Reddit has created vast datasets that can be used to extract significant knowledge, such as author attribution through various analytical techniques. Author attribution is the task of identif…
With climate change increasingly impacting communities and around the globe, understanding the Earth system has never been more vital. The many petabytes of data that are generated from remote sensing efforts such as satellite observations and ground-based mea…
Medical reports are essential for conveying conclusions and diagnoses from medical scans, such as X-ray scans, in order to proceed with the patient’s treatment. Especially lung X-rays, which are used in diagnosing and treating diseases such as pneumonia, pulmo…
There is increasing prevalence of Alzheimer’s disease worldwide. To manage the progression of Alzheimer’s disease, biomarkers can be utilized to identify patients with the disease or predict subsequent progression. While neuroimaging biomarkers have been long…
Іванніков. М. Т. Інтелектуальний агент для підбору музичних рекомендацій у мультимедійних робототехнічних системах із застосуванням алгоритмів машинного навчання. КПІ ім. Сікорського, Київ, 2025. Проєкт містить 85 сторінок тексту, 28 рисунків, 2 таблиці, посил…
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