The interpretability of machine learning (ML) and neural networks has been attached great
importance in medical-related applications. Considering random forest (RF) algorithm with …

As the importance of machine learning tools for decision support continues to grow,
interpretability has emerged as a key factor. Rule-based classification algorithms, such as …

Hard-constrained text generation (Hard-CTG) task aims to generate text with given
keywords, which is helpful for summarization, data augmentation, story writing, etc. Existing …

Background A huge amount of research is carried out nowadays in Artificial Intelligence to
propose automated ways to analyse medical data with the aim to support doctors in …

In the fast-evolving domain of artificial intelligence, large language models (LLMs) such as
GPT-3 and GPT-4 are revolutionizing the landscapes of finance, healthcare, and law …

Although machine learning models are widely used in critical domains, their complexity and
poor interpretability remain problematic. Decision trees (DTs) and rule-based models are …

The advent of artificial intelligence (AI) has revolutionised various aspects of our lives,
including mental health nursing. AI‐driven tools and applications have provided a …

A brain tumour is a malignant condition that spreads extremely quickly and requires rapid
detection. In recent years, it has become apparent that deep learning is a promising …

The realm of SN has witnessed remarkable developments, capturing the attention of
researchers who seek to process and analyze user data in order to extract meaningful …

Intelligent Transportation Systems (ITS) operate within a highly intricate and dynamic
environment characterized by complex spatial and temporal dynamics at various scales …