7 天前 - … Employing an explainable ML approach, we revealed the importance of including
the amount of available moisture in ML models for representing spatiotemporal variations in …

7 天前 - … with sophisticated Artificial Intelligence (AI) techniques, including machine learning
and … synergizes LUR model with an explainable machine learning approach, enhancing our …

7 天前 - In this study, an optimized random forest (RF) model was employed to better understand
the soil-water partitioning behavior of per-and polyfluoroalkyl substances (PFASs). The …

7 天前 - … In this study, we employed a machine learning model and explainable artificial
intelligence to identify the teleconnection drivers for heatwaves in South Korea. Drivers were …

7 天前 - … Models, Explainable Artificial Intelligence, Knowledge Graphs and neuro-symbolic
AI architectures to develop innovative software components related to machine and speech …

7 天前 - … This study combines computational fluid dynamics (CFD) and explainable artificial
intelligence (XAI) techniques like symbolic regression to create a comprehensive predictive …

7 天前 - … robust biometric identification methods but also prioritizes explainability, a key aspect
from an … The explainable nature of our approach aligns with ethical AI principles, ensuring …

7 天前 - … By applying the SHAP model explainability technique, we … explainability for
the EfficientNetB5 model to critically evaluate its performance in the domain of explainable …

7 天前 - … Footnote 123 The general field of study commonly referred to as eXplainable AI (XAI)
aims to “make AI systems results more understandable to humans”. Footnote 124 DARPA’…

7 天前 - … Explainable Artificial Intelligence (abbr. XAI), which attempts to advance interpretable
machine learning … alatieteenala selitettävä tekoäly (Explainable Artificial Intelligence, XAI), …