Large Language Models (LLMs) have demonstrated remarkable capabilities in important
tasks such as natural language understanding and language generation, and thus have the …

Scoring polysomnography for obstructive sleep apnea diagnosis is a laborious, long, and
costly process. Machine learning approaches, such as deep neural networks, can reduce …

The density of states (DOS) is a spectral property of crystalline materials, which provides
fundamental insights into various characteristics of the materials. While previous works …

Deep learning (DL) is becoming more popular as a useful tool in various scientific domains,
especially in chemistry applications. In the infrared spectroscopy field, where identifying …

Modeling and leveraging layout reading order in visually-rich documents (VrDs) is critical in
document intelligence as it captures the rich structure semantics within documents. Previous …

In sleep medicine, assessing the evolution of a subject's sleep often involves the costly
manual scoring of electroencephalographic (EEG) signals. In recent years, a number of …

The field of Document Understanding, which addresses the problem of solving an array of
Natural Language Processing tasks for visually-rich documents, faces challenges due to the …

This thesis delves into a novel area of research, exploring whether attention maps from a
single-layer Vision Transformer model exhibit a clustering structure. The discovery of such a …

The attention mechanism is a powerful and effective method utilized in natural language
processing. This mechanism allows the model to focus on important parts of the input …