Stefano Martina
Cited by
Cited by
P-type silicon strip sensors for the new CMS tracker at HL-LHC
W Adam, T Bergauer, E Brondolin, M Dragicevic, M Friedl, R Frühwirth, ...
Journal of instrumentation 12 (06), P06018, 2017
Learning the noise fingerprint of quantum devices
S Martina, L Buffoni, S Gherardini, F Caruso
Quantum Machine Intelligence 4 (1), 8, 2022
Machine learning classification of non-Markovian noise disturbing quantum dynamics
S Martina, S Gherardini, F Caruso
Physica Scripta, 2023
Quantum reinforcement learning: the maze problem
N Dalla Pozza, L Buffoni, S Martina, F Caruso
Quantum Machine Intelligence 4 (1), 11, 2022
Impact of low-dose electron irradiation on n+ p silicon strip sensors
Tracker Group of the CMS Collaboration
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2015
Classification of cancer pathology reports: a large-scale comparative study
S Martina, L Ventura, P Frasconi
IEEE Journal of Biomedical and Health Informatics 24 (11), 3085-3094, 2020
Performance evaluation of Fischer's protocol through steady-state analysis of Markov regenerative processes
S Martina, M Paolieri, T Papini, E Vicario
2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation …, 2016
Trapping in proton irradiated p+-n-n+ silicon sensors at fluences anticipated at the HL-LHC outer tracker
W Adam, T Bergauer, M Dragicevic, M Friedl, R Fruehwirth, M Hoch, ...
Journal of Instrumentation 11 (04), P04023, 2016
Quantum pattern recognition on real quantum processing units
S Das, J Zhang, S Martina, D Suter, F Caruso
Quantum Machine Intelligence 5 (1), 16, 2023
Test beam demonstration of silicon microstrip modules with transverse momentum discrimination for the future CMS tracking detector
W Adam, T Bergauer, E Brondolin, M Dragicevic, M Friedl, R Frühwirth, ...
Journal of Instrumentation 13 (03), P03003, 2018
Deep learning enhanced noise spectroscopy of a spin qubit environment
S Martina, S Hernández-Gómez, S Gherardini, F Caruso, N Fabbri
Machine Learning: Science and Technology 4 (2), 02LT01, 2023
Noise fingerprints in quantum computers: Machine learning software tools
S Martina, S Gherardini, L Buffoni, F Caruso
Software Impacts 12, 100260, 2022
Classification of cancer pathology reports with Deep Learning methods
S Martina
Mechanical stability of the CMS strip tracker measured with a laser alignment system
AM Sirunyan, A Tumasyan, W Adam, E Asilar, T Bergauer, J Brandstetter, ...
Journal of Instrumentation 12, 2017
The role of data embedding in equivariant quantum convolutional neural networks
S Das, S Martina, F Caruso
arXiv preprint arXiv:2312.13250, 2023
Characterisation of irradiated thin silicon sensors for the CMS phase II pixel upgrade
W Adam, T Bergauer, E Brondolin, M Dragicevic, M Friedl, R Frühwirth, ...
The European Physical Journal C 77, 1-13, 2017
Quantum-Noise-driven Generative Diffusion Models
M Parigi, S Martina, F Caruso
arXiv preprint arXiv:2308.12013, 2023
Machine Learning based Noise Characterization and Correction on Neutral Atoms NISQ Devices
E Canonici, S Martina, R Mengoni, D Ottaviani, F Caruso
Advanced Quantum Technologies 7 (1), 2300192, 2024
Experimental quantum pattern recognition in IBMQ and diamond NVs
S Das, J Zhang, S Martina, D Suter, F Caruso
arXiv preprint arXiv:2205.00561, 2022
Transfer learning with generative models for object detection on limited datasets
M Paiano, S Martina, C Giannelli, F Caruso
arXiv preprint arXiv:2402.06784, 2024
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