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Machine learning based assessment of preclinical health questionnaires
(Peer reviewed; Journal article, 2023)Background: Within modern health systems, the possibility of accessing a large amount and a variety of data related to patients' health has increased significantly over the years. The source of this data could be mobile ... -
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
(Peer reviewed; Journal article, 2023)With the advent of the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) algorithms, the landscape of data-driven medical applications has emerged as a promising avenue ... -
TRANSQLATION: TRANsformer-based SQL RecommendATION
(Chapter, 2023)The exponential growth of data production emphasizes the importance of database management systems (DBMS) for managing vast amounts of data. However, the complexity of writing Structured Query Language (SQL) queries requires ... -
ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER
(Chapter, 2023)Prompt-based language models have produced encouraging results in numerous applications, including Named Entity Recognition (NER) tasks. NER aims to identify entities in a sentence and provide their types. However, the ... -
A method for threat modelling of industrial control systems
(Chapter, 2024)In this paper, we propose a new method for threat modelling of industrial control systems (ICS). The method is designed to be flexible and easy to use. Model elements inspired by IEC 62443 and Data Flow Diagrams (DFD) are ...