Jacopo Pazzini

According to our database, Jacopo Pazzini authored at least 4 papers between 2019 and 2024.

Collaborative distances:

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

2024

Ultra-low latency quantum-inspired machine learning predictors implemented on FPGA.

Lorenzo Borella, Alberto Coppi, Jacopo Pazzini, Andrea Stanco, Marco Trenti, Andrea Triossi, Marco Zanetti

CoRR, 2024

2023

Fast kernel methods for data quality monitoring as a goodness-of-fit test.

Gaia Grosso, Nicolò Lai, Marco Letizia, Jacopo Pazzini, Marco Rando, Lorenzo Rosasco, Andrea Wulzer, Marco Zanetti

Mach. Learn. Sci. Technol., September, 2023

2022

Beyond Transformers: fault type detection in maintenance tickets with Kernel Methods, Boost Decision Trees and Neural Networks.

Stefano Campese, Federico Agostini, Jacopo Pazzini, Davide Pozza

Proceedings of the International Joint Conference on Neural Networks, 2022

2019

Using Big Data Technologies for HEP Analysis.

Matteo Cremonesi, Claudio Bellini, Bianny Bian, Luca Canali, Vasileios Dimakopoulos, Peter Elmer, Ian Fisk, Maria Girone, Oliver Gutsche, Siew-Yan Hoh, Bo Jayatilaka, Viktor Khristenko, Andrea Luiselli, Andrew Melo, Evangelos Motesnitsalis, Dominick Olivito, Jacopo Pazzini, Jim Pivarski, Alexey Svyatkovskiy, Marco Zanetti

CoRR, 2019