Stefano Martina

23 papers B 1Journal 22
YearRankTypeTitle / Venue / Authors
2025 J jnl
Development of a fully deep learning model to improve the reproducibility of sector classification systems for predicting unerupted maxillary canine likelihood of impaction.
CoRR
Marzio Galdi, Davide Cannata, Flavia Celentano, Luigia Rizzo, Domenico Rossi, Tecla Bocchino, Stefano Martina
2025 J jnl
Machine-learning based high-bandwidth magnetic sensing.
Mach. Learn. Sci. Technol.
Galya Haim, Stefano Martina, John Howell, Nir Bar-Gill, Filippo Caruso
2025 J jnl
Physics-inspired Generative AI models via real hardware-based noisy quantum diffusion.
CoRR
Marco Parigi, Stefano Martina, Francesco Aldo Venturelli, Filippo Caruso
2024 J jnl
Machine-learning based high-bandwidth magnetic sensing.
CoRR
Galya Haim, Stefano Martina, John Howell, Nir Bar-Gill, Filippo Caruso
2024 J jnl
The role of data embedding in equivariant quantum convolutional neural networks.
Quantum Mach. Intell.
Sreetama Das, Stefano Martina, Filippo Caruso
2024 J jnl
Transfer learning with generative models for object detection on limited datasets.
CoRR
Matteo Paiano, Stefano Martina, Carlotta Giannelli, Filippo Caruso
2024 J jnl
Transfer learning with generative models for object detection on limited datasets.
Mach. Learn. Sci. Technol.
Matteo Paiano, Stefano Martina, Carlotta Giannelli, Filippo Caruso
2023 J jnl
Deep learning enhanced noise spectroscopy of a spin qubit environment.
CoRR
Stefano Martina, Santiago Hernández-Gómez, Stefano Gherardini, Filippo Caruso, Nicole Fabbri
2023 J jnl
Deep learning enhanced noise spectroscopy of a spin qubit environment.
Mach. Learn. Sci. Technol.
Stefano Martina, Santiago Hernández-Gómez, Stefano Gherardini, Filippo Caruso, Nicole Fabbri
2023 J jnl
Machine-learning based noise characterization and correction on neutral atoms NISQ devices.
CoRR
Ettore Canonici, Stefano Martina, Riccardo Mengoni, Daniele Ottaviani, Filippo Caruso
2023 J jnl
Quantum pattern recognition on real quantum processing units.
Quantum Mach. Intell.
Sreetama Das, Jingfu Zhang, Stefano Martina, Dieter Suter, Filippo Caruso
2023 J jnl
Quantum-Noise-driven Generative Diffusion Models.
CoRR
Marco Parigi, Stefano Martina, Filippo Caruso
2023 J jnl
The role of data embedding in equivariant quantum convolutional neural networks.
CoRR
Sreetama Das, Stefano Martina, Filippo Caruso
2022 J jnl
Experimental quantum pattern recognition in IBMQ and diamond NVs.
CoRR
Sreetama Das, Jingfu Zhang, Stefano Martina, Dieter Suter, Filippo Caruso
2022 J jnl
Learning the noise fingerprint of quantum devices.
Quantum Mach. Intell.
Stefano Martina, Lorenzo Buffoni, Stefano Gherardini, Filippo Caruso
2022 J jnl
Noise fingerprints in quantum computers: Machine learning software tools.
CoRR
Stefano Martina, Stefano Gherardini, Lorenzo Buffoni, Filippo Caruso
2022 J jnl
Noise fingerprints in quantum computers: Machine learning software tools.
Softw. Impacts
Stefano Martina, Stefano Gherardini, Lorenzo Buffoni, Filippo Caruso
2022 J jnl
Quantum reinforcement learning: the maze problem.
Quantum Mach. Intell.
Nicola Dalla Pozza, Lorenzo Buffoni, Stefano Martina, Filippo Caruso
2021 J jnl
Learning the noise fingerprint of quantum devices.
CoRR
Stefano Martina, Lorenzo Buffoni, Stefano Gherardini, Filippo Caruso
2021 J jnl
Machine learning approach for quantum non-Markovian noise classification.
CoRR
Stefano Martina, Stefano Gherardini, Filippo Caruso
2020 J jnl
Classification of Cancer Pathology Reports: A Large-Scale Comparative Study.
IEEE J. Biomed. Health Informatics
Stefano Martina, Leonardo Ventura, Paolo Frasconi
2020 J jnl
Classification of cancer pathology reports: a large-scale comparative study.
CoRR
Stefano Martina, Leonardo Ventura, Paolo Frasconi
2016 B conf
Performance Evaluation of Fischer's Protocol through Steady-State Analysis of Markov Regenerative Processes.
MASCOTS
Stefano Martina, Marco Paolieri, Tommaso Papini, Enrico Vicario