Silvia Giulia Galfrè

14 papers A 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Knowledge Graph Extraction from Biomedical Literature for Alkaptonuria Rare Disease.
CoRR
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
2026 J jnl
Machine Learning for analysis of Multiple Sclerosis cross-tissue bulk and single-cell transcriptomics data.
CoRR
Francesco Massafra, Samuele Punzo, Silvia Giulia Galfrè, Alessandro Maglione, Simone Pernice, Stefano Forti, Simona Rolla, Marco Beccuti, Marinella Clerico, Corrado Priami, Alina Sîrbu
2025 J jnl
A Machine Learning Pipeline for Multiple Sclerosis Biomarker Discovery: Comparing explainable AI and Traditional Statistical Approaches.
CoRR
Samuele Punzo, Silvia Giulia Galfrè, Francesco Massafra, Alessandro Maglione, Corrado Priami, Alina Sîrbu
2025 J jnl
Analyzing RL components for Wagner's framework via Brouwer's conjecture.
Mach. Learn.
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
2025 J jnl
Exploration and generalization in deep learning with SwitchPath activations.
Mach. Learn.
Antonio Di Cecco, Andrea Papini, Carlo Metta, Marco Fantozzi, Silvia Giulia Galfrè, Francesco Morandin, Maurizio Parton
2025 J jnl
Increasing biases can be more efficient than increasing weights.
Adv. Data Anal. Classif.
Carlo Metta, Marco Fantozzi, Andrea Papini, Gianluca Amato, Matteo Bergamaschi, Andrea Fois, Silvia Giulia Galfrè, Alessandro Marchetti, Michelangelo Vegliò, Maurizio Parton, Francesco Morandin
2025 J jnl
MIEO: encoding clinical data to enhance cardiovascular event prediction.
CoRR
Davide Borghini, Davide Marchi, Angelo Nardone, Giordano Scerra, Silvia Giulia Galfrè, Alessandro Pingitore, Giuseppe Prencipe, Corrado Priami, Alina Sîrbu
2024 — conf
A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning.
DS (1)
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
2024 J jnl
A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning.
CoRR
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
2024 J jnl
Achieving Predictive Precision: Leveraging LSTM and Pseudo Labeling for Volvo's Discovery Challenge at ECML-PKDD 2024.
CoRR
Carlo Metta, Marco Gregnanin, Andrea Papini, Silvia Giulia Galfrè, Andrea Fois, Francesco Morandin, Marco Fantozzi, Maurizio Parton
2024 — conf
How Much Do DNA and Protein Deep Embeddings Preserve Biological Information?
CMSB
Matteo Tolloso, Silvia Giulia Galfrè, Arianna Pavone, Marco Podda, Alina Sîrbu, Corrado Priami
2024 A conf
Increasing biases can be more efficient than increasing weights.
WACV
Carlo Metta, Marco Fantozzi, Andrea Papini, Gianluca Amato, Matteo Bergamaschi, Silvia Giulia Galfrè, Alessandro Marchetti, Michelangelo Vegliò, Maurizio Parton, Francesco Morandin
2024 — conf
SwitchPath: Enhancing Exploration in Neural Networks Learning Dynamics.
DS (1)
Antonio Di Cecco, Andrea Papini, Carlo Metta, Marco Fantozzi, Silvia Giulia Galfrè, Francesco Morandin, Maurizio Parton
2023 J jnl
Improving Performance in Neural Networks by Dendrites-Activated Connections.
CoRR
Carlo Metta, Marco Fantozzi, Andrea Papini, Gianluca Amato, Matteo Bergamaschi, Silvia Giulia Galfrè, Alessandro Marchetti, Michelangelo Vegliò, Maurizio Parton, Francesco Morandin