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Stefano Martina
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2020 – today
- 2024
- [i10]Matteo Paiano, Stefano Martina, Carlotta Giannelli, Filippo Caruso:
Transfer learning with generative models for object detection on limited datasets. CoRR abs/2402.06784 (2024) - 2023
- [j5]Sreetama Das
, Jingfu Zhang
, Stefano Martina
, Dieter Suter
, Filippo Caruso
:
Quantum pattern recognition on real quantum processing units. Quantum Mach. Intell. 5(1): 1-17 (2023) - [i9]Stefano Martina, Santiago Hernández-Gómez, Stefano Gherardini, Filippo Caruso, Nicole Fabbri:
Deep learning enhanced noise spectroscopy of a spin qubit environment. CoRR abs/2301.05079 (2023) - [i8]Ettore Canonici, Stefano Martina, Riccardo Mengoni, Daniele Ottaviani, Filippo Caruso:
Machine-learning based noise characterization and correction on neutral atoms NISQ devices. CoRR abs/2306.15628 (2023) - [i7]Marco Parigi, Stefano Martina, Filippo Caruso:
Quantum-Noise-driven Generative Diffusion Models. CoRR abs/2308.12013 (2023) - [i6]Sreetama Das, Stefano Martina, Filippo Caruso:
The role of data embedding in equivariant quantum convolutional neural networks. CoRR abs/2312.13250 (2023) - 2022
- [j4]Stefano Martina
, Lorenzo Buffoni
, Stefano Gherardini
, Filippo Caruso
:
Learning the noise fingerprint of quantum devices. Quantum Mach. Intell. 4(1) (2022) - [j3]Nicola Dalla Pozza
, Lorenzo Buffoni
, Stefano Martina
, Filippo Caruso
:
Quantum reinforcement learning: the maze problem. Quantum Mach. Intell. 4(2): 1-10 (2022) - [j2]Stefano Martina
, Stefano Gherardini, Lorenzo Buffoni
, Filippo Caruso:
Noise fingerprints in quantum computers: Machine learning software tools. Softw. Impacts 12: 100260 (2022) - [i5]Stefano Martina, Stefano Gherardini, Lorenzo Buffoni, Filippo Caruso:
Noise fingerprints in quantum computers: Machine learning software tools. CoRR abs/2202.04581 (2022) - [i4]Sreetama Das
, Jingfu Zhang, Stefano Martina, Dieter Suter, Filippo Caruso:
Experimental quantum pattern recognition in IBMQ and diamond NVs. CoRR abs/2205.00561 (2022) - 2021
- [i3]Stefano Martina, Stefano Gherardini, Filippo Caruso:
Machine learning approach for quantum non-Markovian noise classification. CoRR abs/2101.03221 (2021) - [i2]Stefano Martina, Lorenzo Buffoni, Stefano Gherardini, Filippo Caruso:
Learning the noise fingerprint of quantum devices. CoRR abs/2109.11405 (2021) - 2020
- [j1]Stefano Martina
, Leonardo Ventura, Paolo Frasconi
:
Classification of Cancer Pathology Reports: A Large-Scale Comparative Study. IEEE J. Biomed. Health Informatics 24(11): 3085-3094 (2020) - [i1]Stefano Martina, Leonardo Ventura, Paolo Frasconi:
Classification of cancer pathology reports: a large-scale comparative study. CoRR abs/2006.16370 (2020)
2010 – 2019
- 2016
- [c1]Stefano Martina
, Marco Paolieri
, Tommaso Papini, Enrico Vicario:
Performance Evaluation of Fischer's Protocol through Steady-State Analysis of Markov Regenerative Processes. MASCOTS 2016: 355-360
Coauthor Index
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