Developing constrained neural units over time
2020 Betti, Alessandro; Gori, Marco; Marullo, Simone; Melacci, Stefano
Pitfalls in processing infinite-length sequences with popular approaches for sequential data
2024 Casoni, Michele; Guidi, Tommaso; Tiezzi, Matteo; Betti, Alessandro; Gori, Marco; Melacci, Stefano
Learning activation functions by means of kernel based neural networks
2019 Marra, Giuseppe; Zanca, Dario; Betti, Alessandro; Gori, Marco
Bridging continual learning of motion and self-supervised representations
2024 Tiezzi, Marco; Marullo, Simone; Betti, Alessandro; Casoni, Michele; Melacci, Stefano
Knowledge-driven active learning
2023 Ciravegna, Gabriele; Precioso, Frédéric; Betti, Alessandro; Mottin, Kevin; Gori, Marco
Toward novel optimizers: a Moreau-Yosida view of gradient-based learning
2023 Betti, Alessandro; Ciravegna, Gabriele; Gori, Marco; Melacci, Stefano; Mottin, Kevin; Precioso, Frédéric
Continual learning through Hamilton equations
2022 Betti, Alessandro; Faggi, Lapo; Gori, Marco; Tiezzi, Matteo; Marullo, Simone; Meloni, Enrico; Melacci, Stefano
A constrained-based approach to machine learning
2018 Betti, Alessandro; Gori, Marco; Marra, Giuseppe
A working experimentation model for cyber resilience regulatory sandboxes
2025 Seferi, F.
Continual unsupervised learning for optical flow estimation with deep networks
2022 Marullo, S.; Tiezzi, M.; Betti, A.; Faggi, L.; Meloni, E.; Melacci, S.
Certified inductive synthesis for online mixed-integer optimization
2025 Zamponi, Marco; Incerto, Emilio; Masti, Daniele; Tribastone, Mirco
Reproducibility report for the paper: "Differentiable agent-based simulation for gradient-guided simulation-based optimization"
2021 Incerto, E.; Principe, M.
Flocks of birds: a quantitative evaluation
2025 Incerto, Emilio; Trubiani, Catia
A model-driven approach for the development of an IDE for spacecraft on-board software
2015 Pomante, L.; Candia, S.; Incerto, E.
An efficient performance-driven approach for HW/SW Co-design
2017 Di Pompeo, D.; Incerto, E.; Muttillo, V.; Pomante, L.; Valente, G.
Nature-inspired local propagation
2024 Betti, Alessandro; Gori, Marco
Open Access – A never-ending transition?
2020 Giannini, Silvia; Molino, Anna
Towards verifiability of total value locked (TVL) in decentralized finance
2025 Saggese, Pietro; Fröwis, Michael; Kitzler, Stefan; Haslhofer, Bernhard; Auer, Raphael
End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset Evaluation
2025 Di Pierno, Andrea; Guarnera, Luca; Allegra, Dario; Battiato, Sebastiano
Dialoghi tra arte e scienza: “Fauna” di Joan Fontcuberta e Pere Formiguera
2025 Gilesi, Giulia
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Developing constrained neural units over time | 1-gen-2020 | Betti, Alessandro; Gori, Marco; Marullo, Simone; Melacci, Stefano | |
| Pitfalls in processing infinite-length sequences with popular approaches for sequential data | 1-gen-2024 | Casoni, Michele; Guidi, Tommaso; Tiezzi, Matteo; Betti, Alessandro; Gori, Marco; Melacci, Stefano | |
| Learning activation functions by means of kernel based neural networks | 1-gen-2019 | Marra, Giuseppe; Zanca, Dario; Betti, Alessandro; Gori, Marco | |
| Bridging continual learning of motion and self-supervised representations | 1-gen-2024 | Tiezzi, Marco; Marullo, Simone; Betti, Alessandro; Casoni, Michele; Melacci, Stefano | |
| Knowledge-driven active learning | 1-gen-2023 | Ciravegna, Gabriele; Precioso, Frédéric; Betti, Alessandro; Mottin, Kevin; Gori, Marco | |
| Toward novel optimizers: a Moreau-Yosida view of gradient-based learning | 1-gen-2023 | Betti, Alessandro; Ciravegna, Gabriele; Gori, Marco; Melacci, Stefano; Mottin, Kevin; Precioso, Frédéric | |
| Continual learning through Hamilton equations | 1-gen-2022 | Betti, Alessandro; Faggi, Lapo; Gori, Marco; Tiezzi, Matteo; Marullo, Simone; Meloni, Enrico; Melacci, Stefano | |
| A constrained-based approach to machine learning | 1-gen-2018 | Betti, Alessandro; Gori, Marco; Marra, Giuseppe | |
| A working experimentation model for cyber resilience regulatory sandboxes | 1-gen-2025 | Seferi, F. | |
| Continual unsupervised learning for optical flow estimation with deep networks | 1-gen-2022 | Marullo, S.; Tiezzi, M.; Betti, A.; Faggi, L.; Meloni, E.; Melacci, S. | |
| Certified inductive synthesis for online mixed-integer optimization | 1-gen-2025 | Zamponi, Marco; Incerto, Emilio; Masti, Daniele; Tribastone, Mirco | |
| Reproducibility report for the paper: "Differentiable agent-based simulation for gradient-guided simulation-based optimization" | 1-gen-2021 | Incerto, E.; Principe, M. | |
| Flocks of birds: a quantitative evaluation | 1-gen-2025 | Incerto, Emilio; Trubiani, Catia | |
| A model-driven approach for the development of an IDE for spacecraft on-board software | 1-gen-2015 | Pomante, L.; Candia, S.; Incerto, E. | |
| An efficient performance-driven approach for HW/SW Co-design | 1-gen-2017 | Di Pompeo, D.; Incerto, E.; Muttillo, V.; Pomante, L.; Valente, G. | |
| Nature-inspired local propagation | 1-gen-2024 | Betti, Alessandro; Gori, Marco | |
| Open Access – A never-ending transition? | 1-gen-2020 | Giannini, Silvia; Molino, Anna | |
| Towards verifiability of total value locked (TVL) in decentralized finance | 1-gen-2025 | Saggese, Pietro; Fröwis, Michael; Kitzler, Stefan; Haslhofer, Bernhard; Auer, Raphael | |
| End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset Evaluation | 1-gen-2025 | Di Pierno, Andrea; Guarnera, Luca; Allegra, Dario; Battiato, Sebastiano | |
| Dialoghi tra arte e scienza: “Fauna” di Joan Fontcuberta e Pere Formiguera | 1-gen-2025 | Gilesi, Giulia |
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