Using HEP experiment workflows for the benchmarking and accounting of WLCG computing resources. - Andrea Valassi; Manfred Alef; Jean-Michel Barbet; Olga Datskova; Riccardo De Maria; Miguel Fontes Medeiros; Domenico Giordano; Costin Grigoras; Christopher Hollowell; Martina Javurkova; Viktor Khristenko; David Lange; et al. (CoRR, 2020)

Automatic Cell Counting in Flourescent Microscopy Using Deep Learning. - Roberto Morelli; Luca Clissa; Marco Dalla; Marco Luppi; Lorenzo Rinaldi; Antonio Zoccoli (CoRR, 2021)

HEPiX Benchmarking Solution for WLCG Computing Resources. - Domenico Giordano; Manfred Alef; Luca Atzori; Jean-Michel Barbet; Olga Datskova; Maria Girone; Christopher Hollowell; Martina Javurkova; Riccardo Maganza; Miguel Fontes Medeiros; Michele Michelotto; Lorenzo Rinaldi; et al. (Comput. Softw. Big Sci., 2021)

WebFPTI: A tool to predict the toxicity/pathogenicity of mineral fibres including asbestos. - Alessandro F. Gualtieri; Mauro Leoncini; Lorenzo Rinaldi; Alessandro Zoboli; Dario Di Giuseppe (Earth Sci. Informatics, 2021)

Preparing Distributed Computing Operations for the HL-LHC Era With Operational Intelligence. - Alessandro Di Girolamo; Federica Legger; Panos Paparrigopoulos; Jaroslava Schovancová; Thomas Beermann; Michael Boehler; Daniele Bonacorsi; Luca Clissa; Leticia Decker de Sousa; Tommaso Diotalevi; Luca Giommi; Maria Grigorieva; et al. (Frontiers Big Data, 2021)

Analyzing WLCG File Transfer Errors Through Machine Learning. - Luca Clissa; Mario Lassnig; Lorenzo Rinaldi (Comput. Softw. Big Sci., 2022)

Fluorescent Neuronal Cells v2: Multi-Task, Multi-Format Annotations for Deep Learning in Microscopy. - Luca Clissa; Antonio Macaluso; Roberto Morelli; Alessandra Occhinegro; Emiliana Piscitiello; Ludovico Taddei; Marco Luppi; Roberto Amici; Matteo Cerri; Timna Hitrec; Lorenzo Rinaldi; Antonio Zoccoli (CoRR, 2023)

CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation. - Claudius Krause; Michele Faucci Giannelli; Gregor Kasieczka; Benjamin Nachman; Dalila Salamani; David Shih; Anna Zaborowska; Oz Amram; Kerstin Borras; Matthew R. Buckley; Erik Buhmann; Thorsten Buss; et al. (CoRR, 2024)

How big is Big Data? A comprehensive survey of data production, storage, and streaming in science and industry. - Luca Clissa; Mario Lassnig; Lorenzo Rinaldi (Frontiers Big Data, 2024)