The evaluation of explanation methods is a research topic that has not yet been explored
deeply, however, since explainability is supposed to strengthen trust in artificial intelligence …

Causal feature selection has recently received increasing attention in machine learning and
data mining, especially in the era of Big Data. Existing causal feature selection algorithms …

Recently, the transformer architecture has enabled substantial progress in many areas of
pattern recognition and machine learning. However, as with other neural network models …

Deep learning models that rely on data often fail to generalize effectively to unseen
environments. That is because correlations between data are not always stable in different …

The growing prevalence of poor nutrition is a major public health concern, as it fuels the rise
of various diseases. Obesity, a silent and rapidly growing threat linked to unhealthy eating, is …