The TrUST Project: Improving the Fruition of Historical Centres through Smart Objects. - Angelo Chianese; Francesco Piccialli; Giuseppe Riccio 001 (EUSPN/ICTH, 2015)

SMuNe: A Smart Multisensor Network Based on Embedded Systems in IoT Environment. - Angelo Chianese; Francesco Piccialli; Giuseppe Riccio 001 (SITIS, 2015)

Feature Selection Based on Machine Learning in MRIs for Hippocampal Segmentation. - Sabina Sonia Tangaro; Nicola Amoroso; Massimo Brescia; Stefano Cavuoti; Andrea Chincarini; Rosangela Errico; Paolo Inglese; Giuseppe Longo; Rosalia Maglietta; Andrea Tateo; Giuseppe Riccio 001; Roberto Bellotti (Comput. Math. Methods Medicine, 2015)

Machine learning based data mining for Milky Way filamentary structures reconstruction. - Giuseppe Riccio 001; Stefano Cavuoti; Eugenio Schisano; Massimo Brescia; Amata Mercurio; Davide Elia; Milena Benedettini; Stefano Pezzuto; Sergio Molinari; Anna Maria Di Giorgio (CoRR, 2015)

Integrated data access, visualization and analysis for Galactic Plane surveys: the VIALACTEA case. - Sergio Molinari; Robert Butora; Stefano Cavuoti; Marco Molinaro 003; Giuseppe Riccio 001; Eva Sciacca; Fabio Vitello; Ugo Becciani; Massimo Brescia; Alessandro Costa; Riccardo Smareglia (Astroinformatics, 2016)

C3: A Command-line Catalogue Cross-matching tool for modern astrophysical survey data. - Giuseppe Riccio 001; Massimo Brescia; Stefano Cavuoti; Amata Mercurio; Anna Maria Di Giorgio; Sergio Molinari (Astroinformatics, 2016)

Milky Way Analysis through a Science Gateway: Workflows and Resource Monitoring. - Eva Sciacca; Fabio Vitello; Ugo Becciani; Alessandro Costa; Ákos Hajnal; Péter Kacsuk; Sergio Molinari; Anna Maria Di Giorgio; Eugenio Schisano; Scige John Liu; Davide Elia; Stefano Cavuoti; et al. (IWSG, 2016)

Machine Learning Based Data Mining for Milky Way Filamentary Structures Reconstruction. - Giuseppe Riccio 001; Stefano Cavuoti; Eugenio Schisano; Massimo Brescia; Amata Mercurio; Davide Elia; Milena Benedettini; Stefano Pezzuto; Sergio Molinari; Anna Maria Di Giorgio (Advances in Neural Networks, 2016)

Neural Gas Based Classification of Globular Clusters. - Giuseppe Angora; Massimo Brescia; Stefano Cavuoti; Giuseppe Riccio 001; Maurizio Paolillo; Thomas H. Puzia (DAMDID/RCDL (Selected Papers), 2017)

Astrophysical Data Analytics based on Neural Gas Models, using the Classification of Globular Clusters as Playground. - Giuseppe Angora; Massimo Brescia; Giuseppe Riccio 001; Stefano Cavuoti; Maurizio Paolillo; Thomas H. Puzia (DAMDID/RCDL, 2017)

Data Deluge in Astrophysics: Photometric Redshifts as a Template Use Case. - Massimo Brescia; Stefano Cavuoti; Valeria Amaro; Giuseppe Riccio 001; Giuseppe Angora; Civita Vellucci; Giuseppe Longo (DAMDID/RCDL (Selected Papers), 2017)

stellar formation rates in galaxies using machine learning models. - Michele Delli Veneri; Stefano Cavuoti; Massimo Brescia; Giuseppe Riccio 001; Giuseppe Longo (ESANN, 2018)

VIALACTEA science gateway for Milky Way analysis. - Eva Sciacca; Fabio Vitello; Ugo Becciani; Alessandro Costa; Ákos Hajnal; Péter Kacsuk; Zoltán Farkas; Istvan Marton; Sergio Molinari; Anna Maria Di Giorgio; Eugenio Schisano; Scige John Liu; et al. (Future Gener. Comput. Syst., 2019)

A novel approach to the classification of terrestrial drainage networks based on deep learning and preliminary results on Solar System bodies. - Carlo Donadio; Massimo Brescia; Alessia Riccardo; Giuseppe Angora; Michele Delli Veneri; Giuseppe Riccio 001 (CoRR, 2021)

Transforming healthcare with AI: the work of CINI-AIIS at Federico II University. - Mariano Barone; Domenico Benfenati; Salvatore Capuozzo; Giovanni Maria De Filippis; Adriano De Simone; Simona Fioretto; Kyriakos Kristofer Georgiou; Michela Gravina; Julian Gortz; Lidia Marassi; Stefano Marrone 002; Enea Vincenzo Napolitano; et al. (Ital-IA, 2025)

The evolutionary path of star-forming clumps in Hi-GAL. - Ylenia Maruccia; Stefano Cavuoti; Massimo Brescia; Giuseppe Riccio 001; Chandra Mouli Paturu Venkata Subbu Sita Rama; Davide Elia; Eugenio Schisano (Astron. Comput., 2025)

Hunting the outliers: Machine learning for anomalous time series detection. - N. De Bonis; S. Vaccaro; Ylenia Maruccia; Giuseppe Riccio 001; R. Crupi; S. Rubini; D. De Cicco; Massimo Brescia; Stefano Cavuoti (Astron. Comput., 2026)

Quantum computing for astrophysics and cosmology: Results from the INAF activities. - Andrea Bulgarelli; Carlo Burigana; Luca Cappelli; Vincenzo F. Cardone; Stefano Cavuoti; Farida Farsian; Irene Graziotti; Antonio Macaluso; Massimo Meneghetti; Giuseppe Murante; Nicolò Parmiggiani; Giuseppe Riccio 001; et al. (Astron. Comput., 2026)

From astrophysics to finance: Unveiling frauds through the combination of several Machine Learning algorithms. - Ylenia Maruccia; Stefano Cavuoti; Giuseppe Riccio 001; R. Crupi; S. Rubini (Astron. Comput., 2026)

A quantum genetic algorithm with application to cosmological parameters estimation. - Giuseppe Sarracino; Vincenzo F. Cardone; Roberto Scaramella; Giuseppe Riccio 001; Andrea Bulgarelli; Carlo Burigana; Luca Cappelli; Stefano Cavuoti; Farida Farsian; Irene Graziotti; Massimo Meneghetti; Giuseppe Murante; et al. (Astron. Comput., 2026)