Machine unlearning (MU) is gaining increasing attention due to the need to remove or
modify predictions made by machine learning (ML) models. While training models have …

Both pathology and cytopathology still rely on recognizing microscopical morphologic
features, and image analysis plays a crucial role, enabling the identification, categorization …

Recent developments and research in modern machine learning have led to substantial
improvements in the geospatial field. Although numerous deep learning architectures and …

Recent developments and research in modern machine learning have led to substantial
improvements in the geospatial field. Although numerous deep learning architectures and …

We tackle the problem of bias mitigation of algorithmic decisions in a setting where both the
output of the algorithm and the sensitive variable are continuous. Most of prior work deals …

Artificial intelligence (AI) is rapidly advancing and being integrated into many aspects of
society. While AI enables numerous benefits, it also introduces new security and control …