Papers

D. Mascione, M. Cristoforetti, A. Di Luca, F. M. Follega, R. Iuppa, “Innovative deep neural networks resizing for FPGA implementation in future collider experiments”. In: Nuovo Cim. C, 46(4), 97 (2023). https://doi.org/10.1393/ncc/i2023-23097-6
A. Di Luca, M. Cristoforetti, F. M. Follega, R. Iuppa, D. Mascione, “Automated feature selection procedure for particle jet classification”. In: Nucl. Phys. B, 990, 116182 (2023). https://doi.org/10.1016/j.nuclphysb.2023.116182
A. Di Luca, D. Mascione, F. M. Follega, M. Cristoforetti, R. Iuppa, “Tagging large-radius b-jets from Higgs decays dropping unneeded information”. In: PoS, PANIC2021, 399 (2022). https://doi.org/10.22323/1.380.0399
S. Bartocci et al. , “Deep learning based event reconstruction for the Limadou High-Energy Particle Detector”. In:Phys. Rev. D 105, 022004.doi:10.1103/PhysRevD.105.022004
A. Di Luca, F. M. Follega, R. Iuppa, M. Cistoforetti, “Automatic selection of observables for the analysis of high-energy particle jets”. In:Nuovo Cimento della SocietaItaliana di Fisica C44.2-3 (2021).doi:10.1393/ncc/i2021-21042-5
A. Di Luca, D. Mascione, F. M. Follega, R. Iuppa, M. Cistoforetti, “Deep Neural Network resizing for real-time applications in High Energy Physics”. In:PoSLHCP2021 (2021), p. 257.doi:10.22323/1.397.0257

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