Abstract: The article investigates the specific features of binary classification aggregated methods application to solving the problems of technical diagnostics. The study found that the use of ...

ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...

Thank you for the awesome library. I am trying to determine whether a specific task would be a good fit for distillation. I am working on training a distilled binary classification model to determine ...

aDepartment of Radiology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China bInstitute of High-End Intelligent Health Equipment, Academy of Orthopedics, Guangdong Province ...

Instead of running Python scripts manually for routine tasks, why not automate them to run on their own, and at the time you want? Windows Task Scheduler lets you schedule tasks to run automatically ...

Major Depressive Disorder (MDD) remains a complex and debilitating psychiatric condition characterized by heterogeneous symptom profiles and substantial variability in treatment response. Despite ...

Abstract: This paper focuses on a binary classification task for mammography breast cancer detection, aiming to distinguish between cancer-positive and cancer-negative cases. Our work involves ...