Identification of a model of non-esterified fatty acids dynamics through genetic algorithms: The case of women with a history of gestational diabetes. - Umberto Morbiducci; Giacomo Di Benedetto; Alexandra Kautzky-Willer; Marco Agostino Deriu; Giovanni Pacini; Andrea Tura (Comput. Biol. Medicine, 2011)

Josephin Domain Structural Conformations Explored by Metadynamics in Essential Coordinates. - Marco Agostino Deriu; Gianvito Grasso; Jack A. Tuszynski; Diego Gallo; Umberto Morbiducci; Andrea Danani (PLoS Comput. Biol., 2016)

A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification. - Umberto Michelucci; Michela Sperti; Dario Piga; Francesca Venturini; Marco Agostino Deriu (Algorithms, 2021)

Exploration of Spanish Olive Oil Quality with a Miniaturized Low-Cost Fluorescence Sensor and Machine Learning Techniques. - Francesca Venturini; Michela Sperti; Umberto Michelucci; Ivo Herzig; Michael Baumgartner 002; Josep Palau Caballero; Arturo Jimenez; Marco Agostino Deriu (CoRR, 2021)

A review on computational tools for analytical visualisation and molecular interactions of sncRNAs: prospects in NDDs. - Konstantinos Panagiotopoulos; Lolia Ibanibo; Benedetta Perrone; Caterina Marchetti; Martina Tumsich; Giovanni Traetta; Konstantinos Theofilatos; Marco Agostino Deriu (DETERMINED, 2022)

The neurodevelopmental and mental health outcomes in children with single ventricle physiology and Fontan circulation: a state-ofthe-art review and future directions. - Enrico Piccinelli; Gianfranco Butera; Mara Pilati; Micol Rebonato; Roberto Formigari; Marin Verrengia; Alberto Testa; Gianluigi Perri; Umberto Morbiducci; Marco Agostino Deriu; Lorenzo Galletti (DETERMINED, 2022)

Medical imaging and artificial intelligence to investigate neuro-cardiac pathologies and discover hidden relationships - a state of the art review. - Syed Taimoor Hussain Shah; Veronika Calati; Alessandra Bizzarri; Marco Agostino Deriu (DETERMINED, 2022)

Intelligent system development to monitor the neonatal behaviour: A review. - Syed Adil Hussain Shah; Angelo di Terlizzi; Marco Agostino Deriu (DETERMINED, 2022)

In Silico Analysis of the Multi-Targeted Mode of Action of Ivermectin and Related Compounds. - Maral Aminpour; Marco Cannariato; Jordane Preto; M. Ehsan Safaeeardebili; Alexia Moracchiato; Domiziano Doria; Francesca Donato; Eric Adriano Zizzi; Marco Agostino Deriu; David E. Scheim; Alessandro D. Santin; Jack A. Tuszynski (Comput., 2022)

Physico-chemical properties extraction from the fluorescence spectrum with 1D-convolutional neural networks: application to olive oil. - Francesca Venturini; Michela Sperti; Umberto Michelucci; Arnaud Gucciardi; Vanessa M. Martos; Marco Agostino Deriu (CoRR, 2022)

Taste Before Tasting: Development of a Virtual Tongue to Characterise the Organoleptic Profiles of Mediterranean Ingredients. - Lorenzo Pallante; Athanasios P. Kalogeras; Marco Agostino Deriu (ERCIM News, 2022)

Dataset of Fluorescence Spectra and Chemical Parameters of Olive Oils. - Francesca Venturini; Michela Sperti; Umberto Michelucci; Arnaud Gucciardi; Vanessa M. Martos; Marco Agostino Deriu (CoRR, 2023)

Automated facial characterization and image retrieval by convolutional neural networks. - Syed Taimoor Hussain Shah; Syed Adil Hussain Shah; Shahzad Ahmad Qureshi; Angelo di Terlizzi; Marco Agostino Deriu (Frontiers Artif. Intell., 2023)

An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR). - Karim Kassem; Michela Sperti; Andrea Cavallo; Andrea Mario Vergani; Davide Fassino; Monica Moz; Alessandro Liscio; Riccardo Banali; Michael Dahlweid; Luciano Benetti; Francesco Bruno; Guglielmo Gallone; et al. (Artif. Intell. Medicine, 2024)

LightCPPgen: An Explainable Machine Learning Pipeline for Rational Design of Cell Penetrating Peptides. - Gabriele Maroni; Filip Stojceski; Lorenzo Pallante; Marco Agostino Deriu; Dario Piga; Gianvito Grasso (CoRR, 2024)

Data-driven classification and explainable-AI in the field of lung imaging. - Syed Taimoor Hussain Shah; Syed Adil Hussain Shah; Iqra Iqbal Khan; Atif Imran; Syed Baqir Hussain Shah; Atif Mehmood; Shahzad Ahmad Qureshi; Mudassar Raza; Angelo di Terlizzi; Marco Cavaglià; Marco Agostino Deriu (Frontiers Big Data, 2024)

Explainable Emotion Recognition Using Xception-Based Feature Extraction and Supervised Machine Learning on the RAVDESS Dataset. - Syed Taimoor Hussain Shah; Syed Adil Hussain Shah; Konstantinos Panagiotopoulos; Janet Pigueiras-del-Real; Kainat Qayyum; Syed Baqir Hussain Shah; Andrea Buccoliero; Angelo di Terlizzi; Marco Agostino Deriu (MeMeA, 2025)

Improving Biomedical Image Pattern Identification by Deep B4-GraftingNet: Application to Pneumonia Detection. - Syed Adil Hussain Shah; Syed Taimoor Hussain Shah; Abdul Muiz Fayyaz; Syed Baqir Hussain Shah; Mussarat Yasmin; Mudassar Raza; Angelo di Terlizzi; Marco Agostino Deriu (IET Image Process., 2025)