Publications

Gaia Grosso, Letizia Marco, Losapio Gianvito, Pierini Maurizio, Rando Marco, Rosasco Lorenzo, Wulzer Andrea, Marco Zanetti (2022). Learning new physics efficiently with nonparametric methods. In European Physics Journal C.

Stefano Campese, Federico Agostini, Jacopo Pazzini, Davide Pozza (2022). Beyond Transformers: fault type detection in maintenance tickets with Kernel Methods, Boost Decision Trees and Neural Networks. In 2022 International Joint Conference on Neural Networks (IJCNN).

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Matteo Migliorini, Jacopo Pazzini, Andrea Triossi, Marco Zanetti, Alberto Zucchetta (2022). A horizontally scalable online processing system for trigger-less data acquisition. In Nuclear Instruments and Method A.

D'Agnolo Raffaele, Gaia Grosso, Pierini Maurizio, Wulzer Andrea, Marco Zanetti (2022). Learning new physics from an imperfect machine. In European Physics Journal C.

Matteo Migliorini, Jacopo Pazzini, Andrea Triossi, Marco Zanetti, Alberto Zucchetta (2021). Muon trigger with fast Neural Networks on FPGA, a demonstrator.

D'Agnolo Raffaele, Gaia Grosso, Pierini Maurizio, Wulzer Andrea, Marco Zanetti (2021). Learning multivariate new physics. In European Physics Journal C.

Matteo Migliorini, Canali Luca, Castellotti Riccardo, Marco Zanetti (2020). Machine Learning Pipelines with Modern Big Data Tools for High Energy Physics. In Computing and Software for Big Science.