Machine Learning for Noisy and Non-Ideal Data
Data in real-world applications is often noisy, incomplete, or non-ideal, posing significant challenges for machine learning (ML) models. Noise can ...
Case Studies of Robust Analysis in Healthcare Systems
Healthcare systems generate vast amounts of data, including patient records, clinical measurements, imaging studies, and real-time monitoring data. However, this ...
CRoNoS Courses: A Timeline of Academic Excellence
Academic workshops and training programs play an important role in the growth of research communities. CRoNoS (Cross-fertilisation of Research on ...