Quantum splines for non-linear approximations. - Antonio Macaluso; Luca Clissa; Stefano Lodi; Claudio Sartori 001 (CF, 2020)

A Variational Algorithm for Quantum Neural Networks. - Antonio Macaluso; Luca Clissa; Stefano Lodi; Claudio Sartori 001 (ICCS (6), 2020)

Quantum Ensemble for Classification. - Antonio Macaluso; Luca Clissa; Stefano Lodi; Claudio Sartori 001 (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)

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)

Survey of Big Data sizes in 2021. - Luca Clissa (CoRR, 2022)

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

Supporting Scientific Research Through Machine and Deep Learning: Fluorescence Microscopy and Operational Intelligence Use Cases. - Luca Clissa (2022)

Optimizing Deep Learning Models for Cell Recognition in Fluorescence Microscopy: The Impact of Loss Functions on Performance and Generalization. - Luca Clissa; Antonio Macaluso; Antonio Zoccoli (ICIAP Workshops (1), 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)

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)

An efficient quantum algorithm for ensemble classification using bagging. - Antonio Macaluso; Luca Clissa; Stefano Lodi; Claudio Sartori 001 (IET Quantum Commun., 2024)

Enhancing Cell Counting through MLOps: A Structured Approach for Automated Cell Analysis. - Matteo Testi; Luca Clissa; Matteo Ballabio; Salvatore Ricciardi; Federico Baldo; Emanuele Frontoni; Sara Moccia; Gennaro Vessio (CoRR, 2025)