Long-tailed learning aims to tackle the crucial challenge that head classes dominate the
training procedure under severe class imbalance in real-world scenarios. However, little …

Emotional granularity describes the ability to create emotional experiences that are precise
and context‐specific. Despite growing evidence of a link between emotional granularity and …

Overlapping coefficients (OVL) are commonly used to estimate the similarity between
populations in terms of their density functions. In this paper, we consider Pianka's overlap …

As the research community focuses on improving the reliability of deep learning, identifying
out-of-distribution (OOD) data has become crucial. Detecting OOD inputs during …

Overlap coefficient (OVL) represents the proportion of overlap between two probability
distributions, as a measure of the similarity between them. In this paper, we define a new …

With the growing interest of the research community in making deep learning (DL) robust
and reliable, detecting out-of-distribution (OOD) data has become critical. Detecting OOD …

Abstract Human Activity Recognition presents a multifaceted challenge, encompassing the
complexity of human activities, the diversity of sensors used, and the imperative to safeguard …

In this work, the Moment Independent Uncertainty Importance Measure δ I representing the
contribution of the uncertainty of a subset of input variables XI=(X i 1, X i 2,…, X ir)⊆ X=(X 1 …