Ground-based telescope pointing and tracking optimization using a neural controller. - D. Mancini; Massimo Brescia; Pietro Schipani (Neural Networks, 2003)

The VO-Neural project: recent developments and some applications - Massimo Brescia; Stefano Cavuoti; Giovanni D'Angelo; Raffaele D'Abrusco; Natalia Deniskina; Mauro Garofalo; Omar Laurino; Giuseppe Longo; Alfonso Nocella; B. Skordovski (CoRR, 2008)

GRID-Launcher v.1.0 - Natalia Deniskina; Massimo Brescia; Stefano Cavuoti; Giovanni D'Angelo; Omar Laurino; Giuseppe Longo (CoRR, 2008)

Astrophysics in S.Co.P.E - Massimo Brescia; Stefano Cavuoti; Giovanni D'Angelo; Raffaele D'Abrusco; Ciro Donalek; Natalia Deniskina; Omar Laurino; Giuseppe Longo (CoRR, 2008)

Mining Knowledge in Astrophysical Massive Data Sets - Massimo Brescia; Giuseppe Longo; Fabio Pasian (CoRR, 2010)

DAME: A Web Oriented Infrastructure for Scientific Data Mining & Exploration - Massimo Brescia; Giuseppe Longo; S. George Djorgovski; Stefano Cavuoti; Raffaele D'Abrusco; Ciro Donalek; Alessandro Di Guido; Michelangelo Fiore; Mauro Garofalo; Omar Laurino; Ashish Mahabal; Francesco Manna; et al. (CoRR, 2010)

VOGCLUSTERS: an example of DAME web application - Marco Castellani 004; Massimo Brescia; Ettore Mancini; Luca Pellecchia; Giuseppe Longo (CoRR, 2011)

The DAME/VO-Neural Infrastructure: an Integrated Data Mining System Support for the Science Community - Massimo Brescia; Anna Corazza; Stefano Cavuoti; Giovanni D'Angelo; Raffaele D'Abrusco; Ciro Donalek; S. George Djorgovski; Natalia Deniskina; Michelangelo Fiore; Mauro Garofalo; Omar Laurino; Giuseppe Longo; et al. (CoRR, 2011)

DAME: A Distributed Data Mining & Exploration Framework within the Virtual Observatory - Massimo Brescia; Stefano Cavuoti; Raffaele D'Abrusco; Omar Laurino; Giuseppe Longo (CoRR, 2011)

Genetic Algorithm Modeling with GPU Parallel Computing Technology. - Stefano Cavuoti; Mauro Garofalo; Massimo Brescia; Antonio Pescapè; Giuseppe Longo; Giorgio Ventre (WIRN, 2012)

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; Roberto Bellotti (Comput. Math. Methods Medicine, 2015)

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

METAPHOR: Probability density estimation for machine learning based photometric redshifts. - Valeria Amaro; Stefano Cavuoti; Massimo Brescia; Civita Vellucci; Crescenzo Tortora; Giuseppe Longo (Astroinformatics, 2016)

Cooperative photometric redshift estimation. - Stefano Cavuoti; Crescenzo Tortora; Massimo Brescia; Giuseppe Longo; Mario Radovich; Nicola R. Napolitano; Valeria Amaro; Civita Vellucci (Astroinformatics, 2016)

The Euclid Data Processing Challenges. - Pierre Dubath; Nikolaos Apostolakos; Andrea Bonchi; Andrey N. Belikov; Massimo Brescia; Stefano Cavuoti; Peter Capak; Jean Coupon; Christophe Dabin; Hubert Degaudenzi; Shantanu Desai; Florian Dubath; et al. (Astroinformatics, 2016)

Integrated data access, visualization and analysis for Galactic Plane surveys: the VIALACTEA case. - Sergio Molinari; Robert Butora; Stefano Cavuoti; Marco Molinaro 003; Giuseppe Riccio; 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; Massimo Brescia; Stefano Cavuoti; Amata Mercurio; Anna Maria Di Giorgio; Sergio Molinari (Astroinformatics, 2016)

Probability density estimation of photometric redshifts based on machine learning. - Stefano Cavuoti; Massimo Brescia; Civita Vellucci; Giuseppe Longo; Valeria Amaro; Crescenzo Tortora (SSCI, 2016)

Machine Learning Based Data Mining for Milky Way Filamentary Structures Reconstruction. - Giuseppe Riccio; 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; 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; 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; Giuseppe Angora; Civita Vellucci; Giuseppe Longo (DAMDID/RCDL (Selected Papers), 2017)

The Astronomical Data Deluge: the Template Case of Photometric Redshifts. - Giuseppe Longo; Massimo Brescia; Stefano Cavuoti (DAMDID/RCDL, 2017)

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. (PeerJ Prepr., 2017)

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

Catalog of quasars from the Kilo-Degree Survey Data Release 3. - S. Nakoneczny; Maciej Bilicki; Aleksandra Solarz; Agnieszka Pollo; N. Maddox; C. Spiniello; Massimo Brescia; Nicola R. Napolitano (CoRR, 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 (CoRR, 2021)

ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection. - Lars Doorenbos; Olena Torbaniuk; Stefano Cavuoti; Maurizio Paolillo; Giuseppe Longo; Massimo Brescia; Raphael Sznitman; Pablo Márquez-Neila (CoRR, 2022)

HyCASTLE: A Hybrid ClAssification System based on Typicality, Labels and Entropy. - Michele Delli Veneri; Stefano Cavuoti; Roberto Abbruzzese; Massimo Brescia; Giancarlo Sperlì; Vincenzo Moscato; Giuseppe Longo (Knowl. Based Syst., 2022)

Euclid: Identification of asteroid streaks in simulated images using deep learning. - Mikko Pöntinen; Mikael Granvik; Achille A. Nucita; Luca Conversi; Bruno Altieri; B. Carry; Conor M. O'Riordan; Douglas Scott; N. Aghanim; Adam Amara; Luca Amendola; N. Auricchio; et al. (CoRR, 2023)

Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models. - Lars Doorenbos; Eva Sextl; Kevin Heng; Stefano Cavuoti; Massimo Brescia; Olena Torbaniuk; Giuseppe Longo; Raphael Sznitman; Pablo Márquez-Neila (CoRR, 2024)

AMBER - Advanced SegFormer for Multi-Band Image Segmentation: an application to Hyperspectral Imaging. - Andrea Dosi; Massimo Brescia; Stefano Cavuoti; Mariarca D'Aniello; Michele Delli Veneri; Carlo Donadio; Adriano Ettari; Giuseppe Longo; Alvi Rownok; Luca Sannino; Maria Zampella (CoRR, 2024)

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