Silvia Giulia Galfrè

According to our database, Silvia Giulia Galfrè authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Knowledge Graph Extraction from Biomedical Literature for Alkaptonuria Rare Disease.

Giang Pham, Rebecca Finetti, Caterina Graziani, Bianca Roncaglia, Asma Bendjeddou, Linda Brodo, Sara Brunetti, Moreno Falaschi, Stefano Forti, Silvia Giulia Galfrè, Paolo Milazzo, Corrado Priami, Annalisa Santucci, Ottavia Spiga, Alina Sîrbu

CoRR, March, 2026

Machine Learning for analysis of Multiple Sclerosis cross-tissue bulk and single-cell transcriptomics data.

Francesco Massafra, Samuele Punzo, Silvia Giulia Galfrè, Alessandro Maglione, Simone Pernice, Stefano Forti, Simona Rolla, Marco Beccuti, Marinella Clerico, Corrado Priami, Alina Sîrbu

CoRR, March, 2026

2025

Analyzing RL components for Wagner's framework via Brouwer's conjecture.

Flora Angileri, Giulia Lombardi, Andrea Fois, Renato Faraone, Carlo Metta, Michele Salvi, Luigi Amedeo Bianchi, Marco Fantozzi, Silvia Giulia Galfrè, Daniele Pavesi, Maurizio Parton, Francesco Morandin

Mach. Learn., November, 2025

MIEO: encoding clinical data to enhance cardiovascular event prediction.

Davide Borghini, Davide Marchi, Angelo Nardone, Giordano Scerra, Silvia Giulia Galfrè, Alessandro Pingitore, Giuseppe Prencipe, Corrado Priami, Alina Sîrbu

CoRR, October, 2025

Exploration and generalization in deep learning with SwitchPath activations.

Antonio Di Cecco, Andrea Papini, Carlo Metta, Marco Fantozzi, Silvia Giulia Galfrè, Francesco Morandin, Maurizio Parton

Mach. Learn., September, 2025

A Machine Learning Pipeline for Multiple Sclerosis Biomarker Discovery: Comparing explainable AI and Traditional Statistical Approaches.

Samuele Punzo, Silvia Giulia Galfrè, Francesco Massafra, Alessandro Maglione, Corrado Priami, Alina Sîrbu

CoRR, September, 2025

Increasing biases can be more efficient than increasing weights.

Carlo Metta, Marco Fantozzi, Andrea Papini, Gianluca Amato, Matteo Bergamaschi, Andrea Fois, Silvia Giulia Galfrè, Alessandro Marchetti, Michelangelo Vegliò, Maurizio Parton, Francesco Morandin

Adv. Data Anal. Classif., June, 2025

2024

Achieving Predictive Precision: Leveraging LSTM and Pseudo Labeling for Volvo's Discovery Challenge at ECML-PKDD 2024.

Carlo Metta, Marco Gregnanin, Andrea Papini, Silvia Giulia Galfrè, Andrea Fois, Francesco Morandin, Marco Fantozzi, Maurizio Parton

CoRR, 2024

Increasing biases can be more efficient than increasing weights.

Carlo Metta, Marco Fantozzi, Andrea Papini, Gianluca Amato, Matteo Bergamaschi, Silvia Giulia Galfrè, Alessandro Marchetti, Michelangelo Vegliò, Maurizio Parton, Francesco Morandin

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

SwitchPath: Enhancing Exploration in Neural Networks Learning Dynamics.

Antonio Di Cecco, Andrea Papini, Carlo Metta, Marco Fantozzi, Silvia Giulia Galfrè, Francesco Morandin, Maurizio Parton

Proceedings of the Discovery Science - 27th International Conference, 2024

A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning.

Flora Angileri, Giulia Lombardi, Andrea Fois, Renato Faraone, Carlo Metta, Michele Salvi, Luigi Amedeo Bianchi, Marco Fantozzi, Silvia Giulia Galfrè, Daniele Pavesi, Maurizio Parton, Francesco Morandin

Proceedings of the Discovery Science - 27th International Conference, 2024

How Much Do DNA and Protein Deep Embeddings Preserve Biological Information?

Matteo Tolloso, Silvia Giulia Galfrè, Arianna Pavone, Marco Podda, Alina Sîrbu, Corrado Priami

Proceedings of the Computational Methods in Systems Biology, 2024

2023

Improving Performance in Neural Networks by Dendrites-Activated Connections.

Carlo Metta, Marco Fantozzi, Andrea Papini, Gianluca Amato, Matteo Bergamaschi, Silvia Giulia Galfrè, Alessandro Marchetti, Michelangelo Vegliò, Maurizio Parton, Francesco Morandin

CoRR, 2023