Pubblicazioni

La ricerca che sta dietro ai nostri strumenti.

La nostra ricerca è pubblicata su riviste scientifiche internazionali sottoposte a revisione paritaria. Ogni pubblicazione nasce da progetti di ricerca concreti e alimenta lo sviluppo delle tecnologie e delle piattaforme che realizziamo.

14
Pubblicazioni
11
Riviste peer-reviewed
2
Aree di ricerca
2021–25
Arco temporale
14 / 14
2025
ArticoloSalute

Explainable AI-based skin cancer detection using CNN, particle swarm optimization and machine learning

S.A.H. Shah, S.T.H. Shah, R. Khaled, et al.

Journal of Imaging, 10(12), 332 · MDPI

DOI
ArticoloSalute

Analysing neonatal vocal expression: Methodological approaches to identifying neurological and psychiatric signatures

S.T.H. Shah, S.A.H. Shah, I.I. Khan, et al.

Journal of Multiscale Neuroscience, 4(2), 158–176 · Neural Press

DOI
ArticoloSalute

Artificial intelligence coupled with the Internet of Things targeting neurodevelopmental challenges in preterm neonates

S.T.H. Shah, S.A.H. Shah, K. Panagiotopoulos, et al.

Journal of Multiscale Neuroscience, 4(1), 32–56 · Neural Press

DOI
PreprintAgrifood

B2-GraftingNet: A Hybrid Deep-Machine Learning Framework with Explainable AI for Automated Grape Leaf Disease Detection

S.B.H. Shah, F. Naseer, S.A.H. Shah, et al.

Preprints.org

DOI
2024
ArticoloAgrifood

Predicting multiple taste sensations with a multiobjective machine learning method

L. Androutsos, L. Pallante, A. Bompotas, et al.

npj Science of Food, 8(1), 47 · Nature Publishing Group

DOI
ArticoloSalute

VirtuousPocketome: a computational tool for screening protein–ligand complexes to identify similar binding sites

L. Pallante, M. Cannariato, L. Androutsos, et al.

Scientific Reports, 14(1), 6296 · Nature Publishing Group

DOI
ArticoloAgrifood

AI can empower agriculture for global food security: challenges and prospects in developing nations

A. Ahmad, A.X.W. Liew, F. Venturini, et al.

Frontiers in Artificial Intelligence, 7, 1328530 · Frontiers Media

DOI
ArticoloAgrifood

Exploring TAS2R46 biomechanics through molecular dynamics and network analysis

M. Cannariato, R. Fanunza, E.A. Zizzi, et al.

Frontiers in Molecular Biosciences, 11, 1473675 · Frontiers Media

DOI
2023
PreprintAgrifood

Molecular Biomechanics of the TAS2R46 Bitter Taste Receptor through Network-based Investigation

M. Cannariato, R. Fanunza, E.A. Zizzi, et al.

bioRxiv

DOI
2022
ArticoloAgrifood

A survey on computational taste predictors

M. Malavolta, L. Pallante, B. Mavkov, et al.

European Food Research and Technology, 248(9), 2215–2235 · Springer

DOI
ArticoloAgrifood

Informed classification of sweeteners/bitterants compounds via explainable machine learning

G. Maroni, L. Pallante, G. Di Benedetto, et al.

Current Research in Food Science, 5, 2270–2280 · Elsevier

DOI
ArticoloAgrifood

Fungi, P-solubilization, and plant nutrition

M. Vassileva, G. de Oliveira Mendes, M.A. Deriu, et al.

Microorganisms, 10(9), 1716 · MDPI

DOI
2021
ArticoloAgrifood

On the human taste perception: Molecular-level understanding empowered by computational methods

L. Pallante, M. Malavolta, G. Grasso, et al.

Trends in Food Science & Technology, 116, 445–459 · Elsevier

DOI
ArticoloSalute

Machine learning approaches as an alternative to traditional statistical methods in cardiovascular risk prediction

M. Sperti, F. D'Ascenzo, L. Navarini, et al.

Biomedical Science and Engineering, 2(1)

DOI