AIChronoLens: advancing explainability for time series AI forecasting in mobile networks
Next-generation mobile networks will increasingly rely on the ability to forecast traffic
patterns for resource management. Usually, this translates into forecasting diverse …
patterns for resource management. Usually, this translates into forecasting diverse …
Robust explainer recommendation for time series classification
Time series classification is a task which deals with temporal sequences, a prevalent data
type common in domains such as human activity recognition, sports analytics and general …
type common in domains such as human activity recognition, sports analytics and general …
Contextual Explanations for Decision Support in Predictive Maintenance
M Kozielski - Applied Sciences, 2023 - mdpi.com
Explainable artificial intelligence (XAI) methods aim to explain to the user on what basis the
model makes decisions. Unfortunately, general-purpose approaches that are independent …
model makes decisions. Unfortunately, general-purpose approaches that are independent …
[PDF][PDF] Influence of Pixel Perturbation on eXplainable Artificial Intelligence Methods
The current scenario around Artificial Intelligence (AI) has demanded more and more
transparent explanations about the existing models. The use of eXplicable Artificial …
transparent explanations about the existing models. The use of eXplicable Artificial …