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Books and Theses
- 2022
[b1]Luca Clissa:
Supporting Scientific Research Through Machine and Deep Learning: Fluorescence Microscopy and Operational Intelligence Use Cases. University of Bologna, Italy, 2022
Journal Articles
- 2024
- [j4]Luca Clissa
, Mario Lassnig, Lorenzo Rinaldi:
How big is Big Data? A comprehensive survey of data production, storage, and streaming in science and industry. Frontiers Big Data 6 (2024) - [j3]Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori:
An efficient quantum algorithm for ensemble classification using bagging. IET Quantum Commun. 5(3): 253-268 (2024) - 2022
- [j2]Luca Clissa, Mario Lassnig, Lorenzo Rinaldi:
Analyzing WLCG File Transfer Errors Through Machine Learning. Comput. Softw. Big Sci. 6(1): 16 (2022) - 2021
- [j1]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:
Preparing Distributed Computing Operations for the HL-LHC Era With Operational Intelligence. Frontiers Big Data 4: 753409 (2021)
Conference and Workshop Papers
- 2023
- [c3]Luca Clissa, Antonio Macaluso, Antonio Zoccoli:
Optimizing Deep Learning Models for Cell Recognition in Fluorescence Microscopy: The Impact of Loss Functions on Performance and Generalization. ICIAP Workshops (1) 2023: 179-190 - 2020
- [c2]Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori:
Quantum splines for non-linear approximations. CF 2020: 249-252 - [c1]Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori:
A Variational Algorithm for Quantum Neural Networks. ICCS (6) 2020: 591-604
Informal and Other Publications
- 2023
- [i5]Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori:
Quantum Splines for Non-Linear Approximations. CoRR abs/2303.05428 (2023) - [i4]Luca Clissa, Antonio Macaluso, Roberto Morelli, Alessandra Occhinegro, Emiliana Piscitiello, Ludovico Taddei, Marco Luppi, Roberto Amici, Matteo Cerri, Timna Hitrec, Lorenzo Rinaldi, Antonio Zoccoli:
Fluorescent Neuronal Cells v2: Multi-Task, Multi-Format Annotations for Deep Learning in Microscopy. CoRR abs/2307.14243 (2023) - 2022
- [i3]Luca Clissa:
Survey of Big Data sizes in 2021. CoRR abs/2202.07659 (2022) - 2021
- [i2]Roberto Morelli, Luca Clissa, Marco Dalla, Marco Luppi, Lorenzo Rinaldi, Antonio Zoccoli:
Automatic Cell Counting in Flourescent Microscopy Using Deep Learning. CoRR abs/2103.01141 (2021) - 2020
- [i1]Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori:
Quantum Ensemble for Classification. CoRR abs/2007.01028 (2020)
Coauthor Index
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