Explainability through uncertainty: Trustworthy decision-making with neural networks
Uncertainty is a key feature of any machine learning model and is particularly important in
neural networks, which tend to be overconfident. This overconfidence is worrying under …
neural networks, which tend to be overconfident. This overconfidence is worrying under …
Dynamic clustering via branched deep learning enhances personalization of stress prediction from mobile sensor data
College students experience ever-increasing levels of stress, leading to a wide range of
health problems. In this context, monitoring and predicting students' stress levels is crucial …
health problems. In this context, monitoring and predicting students' stress levels is crucial …
Stress Prediction Based on Chaos Theory and an Event–Behavior–Stress Triangle Model
Predicting stress can help people take timely action to manage stress before potential
physical and psychological problems arise. In this study, we analyze and verify chaotic …
physical and psychological problems arise. In this study, we analyze and verify chaotic …
Analyzing and identifying predictable time range for stress prediction based on chaos theory and deep learning
Propose Stress is a common problem globally. Prediction of stress in advance could help
people take effective measures to manage stress before bad consequences occur …
people take effective measures to manage stress before bad consequences occur …
Optimization of Students' Performance Prediction through an Iterative Model of Frustration Severity
S Ahmad, N Ben Aoun, MAE Affendi… - Computational …, 2022 - Wiley Online Library
Recent articles reported a massive increase in frustration among weak students due to the
outbreak of COVID‐19 and Massive Open Online Courses (MOOCs). These students need …
outbreak of COVID‐19 and Massive Open Online Courses (MOOCs). These students need …
User demographic prediction based on the fusion of mobile and survey data
X Chen, Y Guo, H Xu, H Yan, L Lin - IEEE Access, 2022 - ieeexplore.ieee.org
The user demographic prediction problem is one of the critical processes in the construction
of user profiles, which is of great significance for understanding users' characteristics and …
of user profiles, which is of great significance for understanding users' characteristics and …
Context-aware Knowledge-based Systems: A Literature Review
Context awareness systems, a subcategory of intelligent systems, are concerned with
suggesting relevant products/services to users' situations as smart services. One key …
suggesting relevant products/services to users' situations as smart services. One key …