[HTML][HTML] Automatic evaluation of open-ended questions for online learning. A systematic mapping

E Del Gobbo, A Guarino, B Cafarelli, L Grilli… - Studies in Educational …, 2023 - Elsevier
The assessment of students' performances in Higher Education is one of the essential
components of teaching activities. Open-ended tasks allow a more in-depth assessment of …

BAuth-ZKP—A blockchain-based multi-factor authentication mechanism for securing smart cities

MO Ahmad, G Tripathi, F Siddiqui, MA Alam, MA Ahad… - Sensors, 2023 - mdpi.com
The overwhelming popularity of technology-based solutions and innovations to address day-
to-day processes has significantly contributed to the emergence of smart cities. where …

Adam or Eve? Automatic users' gender classification via gestures analysis on touch devices

A Guarino, N Lettieri, D Malandrino… - Neural Computing and …, 2022 - Springer
Gender classification of mobile devices' users has drawn a great deal of attention for its
applications in healthcare, smart spaces, biometric-based access control systems and …

[HTML][HTML] Touchscreen gestures as images. A transfer learning approach for soft biometric traits recognition

A Guarino, D Malandrino, R Zaccagnino… - Expert Systems with …, 2023 - Elsevier
Mobile devices are nowadays ubiquitous. They are equipped with a variety of sensors, each
designed for capturing specific signals which can be exploited to acquire discriminating …

GradeAid: a framework for automatic short answers grading in educational contexts—design, implementation and evaluation

E Del Gobbo, A Guarino, B Cafarelli, L Grilli - Knowledge and Information …, 2023 - Springer
Automatic short answer grading (ASAG), a hot field of natural language understanding, is a
research area within learning analytics. ASAG solutions are conceived to offload teachers …

To learn or not to learn? Evaluating autonomous, adaptive, automated traders in cryptocurrencies financial bubbles

A Guarino, L Grilli, D Santoro, F Messina… - Neural Computing and …, 2022 - Springer
Financial bubbles represent a severe problem for investors. In particular, the cryptocurrency
market has witnessed the bursting of different bubbles in the last decade, which in turn have …

Knowledge mining and social dangerousness assessment in criminal justice: metaheuristic integration of machine learning and graph-based inference

N Lettieri, A Guarino, D Malandrino… - Artificial Intelligence and …, 2023 - Springer
One of the main challenges for computational legal research is drawing up innovative
heuristics to derive actionable knowledge from legal documents. While a large part of the …

Realization of natural language processing and machine learning approaches for text‐based sentiment analysis

K Naithani, YP Raiwani - Expert Systems, 2023 - Wiley Online Library
The leading intention of the current paper is to review the research work accomplished by
various researchers to achieve sentiment analysis on the text and to elaborate on natural …

Cybersecurity awareness assessment among trainees of the technical and vocational training corporation

S Alrobaian, S Alshahrani, A Almaleh - Big Data and Cognitive …, 2023 - mdpi.com
People are the weakest link in the cybersecurity chain when viewed in the context of
technological advancement. People become vulnerable to trickery through contemporary …

EvoFolio: a portfolio optimization method based on multi-objective evolutionary algorithms

A Guarino, D Santoro, L Grilli, R Zaccagnino… - Neural Computing and …, 2024 - Springer
Optimal portfolio selection—composing a set of stocks/assets that provide high yields/returns
with a reasonable risk—has attracted investors and researchers for a long time. As a …