Natural language processing (NLP), which is known as an emerging technology creating
considerable value in multiple areas, has recently shown its great potential in government …

Applying deep learning (DL) algorithms for image classification tasks becomes more
challenging with insufficient training data. Transfer learning (TL) has been proposed to …

The structures of discourse used by legal and ordinary languages share differences that
foster technical issues when applying or fine-tuning general-purpose language models for …

Scoring sleep stages is an essential procedure for the diagnosis of sleeping disorders.
Conventional sleep staging is a laborious and costly procedure requiring multimodal …

The emerging trend of using AI, big data, and smart contracts in the legislative process
opens relevant research questions in the theory of law, constitutional law, and the …

Pre-trained transformers are highly effective across numerous Natural Language Processing
(NLP) tasks, yet their ability to generalise to new domains remains a concern due to their …

Today we live in an age where the internet and artificial intelligence allow us to search for
information through impressive amounts of data, opening up revolutionary new ways to …

During the last decade, huge advancements took place in remote sensing affecting speed
and quality of data acquisition, processing and mapping. This rapid progress became …