As our dependence on intelligent machines continues to grow, so does the demand for more
transparent and interpretable models. In addition, the ability to explain the model generally …

Skin-interfaced electronics is gradually changing medical practices by enabling continuous
and non-invasive tracking of physiological and biochemical information. With the rise of big …

Artificial intelligence (AI) is currently being utilized in a wide range of sophisticated
applications, but the outcomes of many AI models are challenging to comprehend and trust …

The study of complex behaviors is often challenging when using manual annotation due to
the absence of quantifiable behavioral definitions and the subjective nature of behavioral …

Digital twins, which are considered an effective approach to realize the fusion between
virtual and physical spaces, have attracted a substantial amount of attention in the past …

Exercise exerts a wide range of beneficial effects for healthy physiology 1. However, the
mechanisms regulating an individual's motivation to engage in physical activity remain …

Feature attributions based on the Shapley value are popular for explaining machine
learning models. However, their estimation is complex from both theoretical and …

An oracle that correctly predicts the outcome of every particle physics experiment, the
products of every possible chemical reaction or the function of every protein would …

Heterogeneous tabular data are the most commonly used form of data and are essential for
numerous critical and computationally demanding applications. On homogeneous datasets …

Practitioners increasingly use machine learning (ML) models, yet models have become
more complex and harder to understand. To understand complex models, researchers have …