Data Management and Mining in Astrophysical Databases - Marco Frailis; Alessandro De Angelis; Vito Roberto (CoRR, 2003)

The FRED Event Display: an Extensible HepRep Client for GLAST - Marco Frailis; Riccardo Giannitrapani (CoRR, 2003)

The Use of HepRep in GLAST - J. Perl; Riccardo Giannitrapani; Marco Frailis (CoRR, 2003)

Perspects in astrophysical databases - Marco Frailis; Alessandro De Angelis; Vito Roberto (CoRR, 2004)

Self-Organising Networks for Classification: developing Applications to Science Analysis for Astroparticle Physics - Alessandro De Angelis; Praveen Boinee; Marco Frailis; Edoardo Milotti (CoRR, 2004)

A Data-Driven Multidimensional Indexing Method for Data Mining in Astrophysical Databases. - Marco Frailis; Alessandro De Angelis; Vito Roberto (EURASIP J. Adv. Signal Process., 2005)

A third level trigger programmable on FPGA for the gamma/hadron separation in a Cherenkov telescope using pseudo-Zernike moments and the SVM classifier - Marco Frailis; Oriana Mansutti; Praveen Boinee; Giuseppe Cabras; Alessandro De Angelis; Barbara De Lotto; Alberto Forti; Mauro Dell'Orso; Riccardo Paoletti; Angelo Scribano; Nicola Turini; Mose Mariotti; et al. (CoRR, 2006)

Optimization of Planck/LFI on–board data handling - Michele Maris; M. Tomasi; S. Galeotta; M. Miccolis; Sergi Hildebrandt; Marco Frailis; R. Rohlfs; Nicolas Morisset; Andrea Zacchei; Marco Bersanelli; P. Binko; Carlo Burigana; et al. (CoRR, 2010)

DAS: a data management system for instrument tests and operations. - Marco Frailis; Stefano Sartor; Andrea Zacchei; Marcello Lodi; Roberto Cirami; Fabio Pasian; Massimo Trifoglio; Andrea Bulgarelli; Fulvio Gianotti; Enrico Franceschi; Luciano Nicastro; Vito Conforti; et al. (CoRR, 2014)

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)

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)