Dietary studies showed that dietary problems such as obesity are associated with other
chronic diseases, including hypertension, irregular blood sugar levels, and increased risk of …

Food image classification is an important research direction in the field of computer vision
and machine learning. However food image classification faces great challenges when …

Since the dawn of the 21st century, the carbon footprint has become an important indicator
for measuring environmental impact. While it's been recognized that changing one's dietary …

The adaptation and use of Machine Learning (ML) in our daily lives has led to concerns in
lack of transparency, privacy, reliability, among others. As a result, we are seeing research in …

Deep neural networks represent a compelling technique to tackle complex real-world
problems, but are over-parameterized and often suffer from over-or under-confident …

Food recognition is an important task for a variety of applications, including managing health
conditions and assisting visually impaired people. Several food recognition studies have …

Many text classification tasks require handling unseen domains with plenty of unlabeled
data, thus giving rise to the self-adaption or the so-called transductive zero-shot learning …

In recent years, the field of computer vision has seen remarkable advancements, particularly
with the rise of deep learning techniques. Object detection, a challenging task in image …