Stefano Martina

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 16

Top Topics

Pattern Recognition

Diffusion Models

Top Venues

Quantum Mach. Intell.

IEEE J. Biomed. Health Informatics

Publications

Matteo Paiano, Stefano Martina, Carlotta Giannelli, Filippo Caruso
Transfer learning with generative models for object detection on limited datasets. CoRR (2024)
Sreetama Das, Jingfu Zhang, Stefano Martina, Dieter Suter, Filippo Caruso
Quantum pattern recognition on real quantum processing units. Quantum Mach. Intell. 5 (1) (2023)
Sreetama Das, Stefano Martina, Filippo Caruso
The role of data embedding in equivariant quantum convolutional neural networks. CoRR (2023)
Marco Parigi, Stefano Martina, Filippo Caruso
Quantum-Noise-driven Generative Diffusion Models. CoRR (2023)
Stefano Martina, Santiago Hernández-Gómez, Stefano Gherardini, Filippo Caruso, Nicole Fabbri
Deep learning enhanced noise spectroscopy of a spin qubit environment. CoRR (2023)
Ettore Canonici, Stefano Martina, Riccardo Mengoni, Daniele Ottaviani, Filippo Caruso
Machine-learning based noise characterization and correction on neutral atoms NISQ devices. CoRR (2023)
Nicola Dalla Pozza, Lorenzo Buffoni, Stefano Martina, Filippo Caruso
Quantum reinforcement learning: the maze problem. Quantum Mach. Intell. 4 (2) (2022)
Stefano Martina, Lorenzo Buffoni, Stefano Gherardini, Filippo Caruso
Learning the noise fingerprint of quantum devices. Quantum Mach. Intell. 4 (1) (2022)
Stefano Martina, Stefano Gherardini, Lorenzo Buffoni, Filippo Caruso
Noise fingerprints in quantum computers: Machine learning software tools. CoRR (2022)
Stefano Martina, Stefano Gherardini, Lorenzo Buffoni, Filippo Caruso
Noise fingerprints in quantum computers: Machine learning software tools. Softw. Impacts 12 (2022)
Sreetama Das, Jingfu Zhang, Stefano Martina, Dieter Suter, Filippo Caruso
Experimental quantum pattern recognition in IBMQ and diamond NVs. CoRR (2022)
Stefano Martina, Lorenzo Buffoni, Stefano Gherardini, Filippo Caruso
Learning the noise fingerprint of quantum devices. CoRR (2021)
Stefano Martina, Stefano Gherardini, Filippo Caruso
Machine learning approach for quantum non-Markovian noise classification. CoRR (2021)
Stefano Martina, Leonardo Ventura, Paolo Frasconi
Classification of Cancer Pathology Reports: A Large-Scale Comparative Study. IEEE J. Biomed. Health Informatics 24 (11) (2020)
Stefano Martina, Leonardo Ventura, Paolo Frasconi
Classification of cancer pathology reports: a large-scale comparative study. CoRR (2020)
Stefano Martina, Marco Paolieri, Tommaso Papini, Enrico Vicario
Performance Evaluation of Fischer's Protocol through Steady-State Analysis of Markov Regenerative Processes. MASCOTS (2016)