Luca Clissa

According to our database, Luca Clissa authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

An efficient quantum algorithm for ensemble classification using bagging.

Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori

IET Quantum Commun., September, 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

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

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

2022

Supporting Scientific Research Through Machine and Deep Learning: Fluorescence Microscopy and Operational Intelligence Use Cases.

Luca Clissa

PhD thesis, 2022

Analyzing WLCG File Transfer Errors Through Machine Learning.

Luca Clissa, Mario Lassnig, Lorenzo Rinaldi

Comput. Softw. Big Sci., 2022

Survey of Big Data sizes in 2021.

Luca Clissa

CoRR, 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

Automatic Cell Counting in Flourescent Microscopy Using Deep Learning.

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

CoRR, 2021

2020

Quantum Ensemble for Classification.

Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori

CoRR, 2020

A Variational Algorithm for Quantum Neural Networks.

Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori

Proceedings of the Computational Science - ICCS 2020, 2020

Quantum splines for non-linear approximations.

Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori

Proceedings of the 17th ACM International Conference on Computing Frontiers, 2020