Regression test prioritization (RTP) is an active research field, aiming at re‐ordering the
tests in a test suite to maximize the rate at which faults are detected. A number of RTP …

While NLP systems become more pervasive, their accountability gains value as a focal point
of effort. Epistemological opaqueness of nonlinear learning methods, such as deep learning …

In this paper, we present a framework for performing automatic analysis of Land Use Zones
based on Location-Based Social Networks (LBSNs). We model city areas using a …

In this article, we extensively study the use of syntactic and semantic structures obtained with
shallow and full syntactic parsers for answer passage reranking. We propose several …

Nonlinear methods such as deep neural networks achieve state-of-the-art performances in
several semantic NLP tasks. However epistemologically transparent decisions are not …

AI applications to health related processes include the adoption of robotic platforms for
rehabilitation, aiming at the delivery of highly intensive, repeatable and accurate motion …

In this first part of the INFINITECH book series, which is a series of three books, the
principles of the modern economy that make the modern financial sector and FinTech the …

In recent years, Deep Learning methods have become very popular in classification tasks for
Natural Language Processing (NLP); this is mainly due to their ability to reach high …

Drama is a story told through the live actions of characters; dramatic writing is characterized
by aspects that are central to identify, interpret, and relate the different elements of a story …

This paper investigates the rapidly advancing domain of Large Language Models (LLMs)
and their growing potential in various fields. A central focus is the exploration of LLMs, eg …