Feature-Based Deep Neural Networks for Short-Term Prediction of WiFi Channel Occupancy Rate
Spectrum occupancy prediction is a key enabling technology to facilitate a proactive resource allocation for dynamic spectrum management systems. This work focuses […]
AI Explainability
This paper attempts to present an appraisal review of explainable Artificial Intelligence research, with a focus on building a bridge between image […]
Towards Metaphors for Cascading AI
In the future, more and more systems will be powered by AI. This may exacerbate existing blind spots in explainability research, such […]