Lorenzo Rinaldi

According to our database, Lorenzo Rinaldi authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

2023

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

2022

Analyzing WLCG File Transfer Errors Through Machine Learning.

Luca Clissa, Mario Lassnig, Lorenzo Rinaldi

Comput. Softw. Big Sci., 2022

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, Domenico Giordano, David Hohn, Tomas Javurek, Stephane Jezequel, Valentin Kuznetsov, Mario Lassnig, Vasilis Mageirakos, Micol Olocco, Siarhei Padolski, Matteo Paltenghi, Lorenzo Rinaldi, Mayank Sharma, Simone Rossi Tisbeni, Nikodemas Tuckus

Frontiers Big Data, 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

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, Andrea Sciabà, Randall J. Sobie, David Southwick, Tristan Sullivan, Andrea Valassi

Comput. Softw. Big Sci., 2021

Automatic Cell Counting in Flourescent Microscopy Using Deep Learning.

Roberto Morelli, Luca Clissa, Marco Dalla, Marco Luppi, Lorenzo Rinaldi, Antonio Zoccoli

CoRR, 2021

2020

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, Michele Michelotto, Lorenzo Rinaldi, Andrea Sciabà, Cas Van Der Laan

CoRR, 2020