Credit-risk models are trained on proxy labels and deployed under temporal and segment change, yet no single transfer metric separates base-rate shift, probability-scale shift, and feature-label relationship change. We contribute a design-science artifact: a locked, multi-signal audit protocol for supervision drift in...
Mehrdad Shoeibi, Muhammad Shabanpour, W. Karwowski et al.· 0 citations
The terms “brain-computer interface” and “brain-computer interaction” are closely related, but they emphasize different aspects of brain-computer systems. The ongoing misinterpretation of these terms has impeded the accurate classification of applications and research studies, making this clarification essential for ad...
Erman Çakıt, W. Karwowski· AHFE International· 1 citation
An incremental recurrent learning framework for adverse-event count prediction is developed and evaluated in a field study of human-social-infrastructure projects in Afghanistan and demonstrates that incremental recurrent learning can support adaptive risk monitoring when adverse-event distributions change over time.
Donghui Shi, Ji-Fei Cheng, Ya-Kun Sun et al.· IEEE Access· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.