Stefano Martina

According to our database, Stefano Martina authored at least 13 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Transfer learning with generative models for object detection on limited datasets.

Matteo Paiano, Stefano Martina, Carlotta Giannelli, Filippo Caruso

CoRR, 2024

2023

Quantum pattern recognition on real quantum processing units.

Sreetama Das, Jingfu Zhang, Stefano Martina, Dieter Suter, Filippo Caruso

Quantum Mach. Intell., 2023

The role of data embedding in equivariant quantum convolutional neural networks.

Sreetama Das, Stefano Martina, Filippo Caruso

CoRR, 2023

Quantum-Noise-driven Generative Diffusion Models.

Marco Parigi, Stefano Martina, Filippo Caruso

CoRR, 2023

Machine-learning based noise characterization and correction on neutral atoms NISQ devices.

Ettore Canonici, Stefano Martina, Riccardo Mengoni, Daniele Ottaviani, Filippo Caruso

CoRR, 2023

Deep learning enhanced noise spectroscopy of a spin qubit environment.

Stefano Martina, Santiago Hernández-Gómez, Stefano Gherardini, Filippo Caruso, Nicole Fabbri

CoRR, 2023

2022

Noise fingerprints in quantum computers: Machine learning software tools.

Stefano Martina, Stefano Gherardini, Lorenzo Buffoni, Filippo Caruso

Softw. Impacts, 2022

Quantum reinforcement learning: the maze problem.

Nicola Dalla Pozza, Lorenzo Buffoni, Stefano Martina, Filippo Caruso

Quantum Mach. Intell., 2022

Learning the noise fingerprint of quantum devices.

Stefano Martina, Lorenzo Buffoni, Stefano Gherardini, Filippo Caruso

Quantum Mach. Intell., 2022

Experimental quantum pattern recognition in IBMQ and diamond NVs.

Sreetama Das, Jingfu Zhang, Stefano Martina, Dieter Suter, Filippo Caruso

CoRR, 2022

2021

Machine learning approach for quantum non-Markovian noise classification.

Stefano Martina, Stefano Gherardini, Filippo Caruso

CoRR, 2021

2020

Classification of Cancer Pathology Reports: A Large-Scale Comparative Study.

Stefano Martina, Leonardo Ventura, Paolo Frasconi

IEEE J. Biomed. Health Informatics, 2020

2016

Performance Evaluation of Fischer's Protocol through Steady-State Analysis of Markov Regenerative Processes.

Stefano Martina, Marco Paolieri, Tommaso Papini, Enrico Vicario

Proceedings of the 24th IEEE International Symposium on Modeling, 2016