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ORCIDSilvia Giulia Galfrè
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2020 – today
- 2024
[c2]Matteo Tolloso
, Silvia Giulia Galfrè, Arianna Pavone, Marco Podda, Alina Sîrbu, Corrado Priami:
How Much Do DNA and Protein Deep Embeddings Preserve Biological Information? CMSB 2024: 209-225- [c1]Carlo Metta, Marco Fantozzi, Andrea Papini, Gianluca Amato, Matteo Bergamaschi, Silvia Giulia Galfrè, Alessandro Marchetti, Michelangelo Vegliò, Maurizio Parton, Francesco Morandin:
Increasing biases can be more efficient than increasing weights. WACV 2024: 2798-2807 - [i3]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:
A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning. CoRR abs/2406.12667 (2024) - [i2]Carlo Metta, Marco Gregnanin, Andrea Papini, Silvia Giulia Galfrè, Andrea Fois, Francesco Morandin, Marco Fantozzi, Maurizio Parton:
Achieving Predictive Precision: Leveraging LSTM and Pseudo Labeling for Volvo's Discovery Challenge at ECML-PKDD 2024. CoRR abs/2409.13877 (2024) - 2023
- [i1]Carlo Metta, Marco Fantozzi, Andrea Papini, Gianluca Amato, Matteo Bergamaschi, Silvia Giulia Galfrè, Alessandro Marchetti, Michelangelo Vegliò, Maurizio Parton, Francesco Morandin:
Improving Performance in Neural Networks by Dendrites-Activated Connections. CoRR abs/2301.00924 (2023)
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