MELACCI, STEFANO
MELACCI, STEFANO
Dipartimento di Ingegneria dell'Informazione e Scienze Matematiche
A constrained machine-learning paradigm
2016-01-01 Gnecco, Giorgio; Gori, Marco; Melacci, Stefano; Sanguineti, Marcello
A Constraint-Based Approach to Learning and Explanation
2020-01-01 Ciravegna, Gabriele; Giannini, Francesco; Melacci, Stefano; Maggini, Marco; Gori, Marco
A lagrangian approach to information propagation in graph neural networks
2020-01-01 Tiezzi, M.; Marra, G.; Melacci, S.; Maggini, M.; Gori, M.
A language modeling-like approach to sketching
2021-01-01 Graziani, L.; Gori, M.; Melacci, S.
A machine-learning paradigm that includes pointwise constraints
2014-01-01 Gnecco, Giorgio; Gori, Marco; Melacci, Stefano; Sanguineti, Marcello
A neural network approach to similarity learning
2008-01-01 Melacci, Stefano; Sarti, Lorenzo; Maggini, Marco; Bianchini, Monica
A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge
2025-01-01 Lorello, Luca Salvatore; Lippi, Marco; Melacci, Stefano
A new perspective on optimizers: leveraging moreau-yosida approximation in gradient-based learning
2024-01-01 Betti, Alessandro; Ciravegna, Gabriele; Gori, Marco; Melacci, Stefano; Mottin, Kevin; Precioso, Frédéric
A template-based approach to automatic face enhancement
2010-01-01 Melacci, Stefano; Sarti, Lorenzo; Maggini, Marco; Gori, Marco
A theoretical framework for supervised learning from regions
2014-01-01 Gnecco, Giorgio; Gori, Marco; Melacci, Stefano; Sanguineti, Marcello
Aesthetical standards and new technologies: a comparison
2012-01-01 Ferroni, Serena; Borracchini, Andrea; Melacci, Stefano; Doldo, Tiziana
An unsupervised character-aware neural approach to word and context representation learning
2018-01-01 Marra, Giuseppe; Zugarini, Andrea; Melacci, Stefano; Maggini, Marco
Asynchronous Distributed Learning From Constraints
2020-01-01 Farina, Francesco; Melacci, Stefano; Garulli, Andrea; Giannitrapani, Antonio
Attacking RAG Systems in Multiple Domains with Locally Running and Automatic Procedures
2025-01-01 Di Maio, Christian; Melacci, Stefano
Autoassociative Neural Network based Active Shape Models
2008-01-01 Castelli, I.; Maggini, M.; Melacci, S.; Sarti, L.
Back to recurrent processing at the crossroad of transformers and state-space models
2025-01-01 Tiezzi, Matteo; Casoni, Michele; Betti, Alessandro; Guidi, Tommaso; Gori, Marco; Melacci, Stefano
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks
2022-01-01 Marullo, Simone; Tiezzi, Matteo; Gori, Marco; Melacci, Stefano
Benchmarking in Neuro-Symbolic AI
2026-01-01 Manhaeve, Robin; Giannini, Francesco; Ali, Mehdi; Azzolini, Damiano; Bizzarri, Alice; Borghesi, Andrea; Bortolotti, Samuele; De Raedt, Luc; Dhami, Devendra; Diligenti, Michelangelo; Dumančić, Sebastijan; Faltings, Boi; Gentili, Elisabetta; Gerevini, Alfonso; Gori, Marco; Guns, Tias; Homola, Martin; Kersting, Kristian; Lehmann, Jens; Lombardi, Michele; Lorello, Luca; Marconato, Emanuele; Melacci, Stefano; Passerini, Andrea; Paul, Debjit; Riguzzi, Fabrizio; Teso, Stefano; Yorke-Smith, Neil; Lippi, Marco
Bridging Continual Learning of Motion and Self-Supervised Representations
2024-01-01 Tiezzi, Matteo; Marullo, Simone; Betti, Alessandro; Casoni, Michele; Melacci, Stefano
Can machines learn to see without visual databases?
2021-01-01 Betti, Alessandro; Gori, Marco; Melacci, Stefano; Pelillo, Marcello; Roli, Fabio
| Titolo | Data di pubblicazione | Autore(i) | File | Abstract |
|---|---|---|---|---|
| A constrained machine-learning paradigm | 1-gen-2016 | Gnecco, Giorgio; Gori, Marco; Melacci, Stefano; Sanguineti, Marcello | - | |
| A Constraint-Based Approach to Learning and Explanation | 1-gen-2020 | Ciravegna, Gabriele; Giannini, Francesco; Melacci, Stefano; Maggini, Marco; Gori, Marco | - | |
| A lagrangian approach to information propagation in graph neural networks | 1-gen-2020 | Tiezzi, M.; Marra, G.; Melacci, S.; Maggini, M.; Gori, M. | - | |
| A language modeling-like approach to sketching | 1-gen-2021 | Graziani, L.; Gori, M.; Melacci, S. | - | |
| A machine-learning paradigm that includes pointwise constraints | 1-gen-2014 | Gnecco, Giorgio; Gori, Marco; Melacci, Stefano; Sanguineti, Marcello | - | |
| A neural network approach to similarity learning | 1-gen-2008 | Melacci, Stefano; Sarti, Lorenzo; Maggini, Marco; Bianchini, Monica | - | |
| A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge | 1-gen-2025 | Lorello, Luca Salvatore; Lippi, Marco; Melacci, Stefano | - | |
| A new perspective on optimizers: leveraging moreau-yosida approximation in gradient-based learning | 1-gen-2024 | Betti, Alessandro; Ciravegna, Gabriele; Gori, Marco; Melacci, Stefano; Mottin, Kevin; Precioso, Frédéric | - | |
| A template-based approach to automatic face enhancement | 1-gen-2010 | Melacci, Stefano; Sarti, Lorenzo; Maggini, Marco; Gori, Marco | - | |
| A theoretical framework for supervised learning from regions | 1-gen-2014 | Gnecco, Giorgio; Gori, Marco; Melacci, Stefano; Sanguineti, Marcello | - | |
| Aesthetical standards and new technologies: a comparison | 1-gen-2012 | Ferroni, Serena; Borracchini, Andrea; Melacci, Stefano; Doldo, Tiziana | - | |
| An unsupervised character-aware neural approach to word and context representation learning | 1-gen-2018 | Marra, Giuseppe; Zugarini, Andrea; Melacci, Stefano; Maggini, Marco | - | |
| Asynchronous Distributed Learning From Constraints | 1-gen-2020 | Farina, Francesco; Melacci, Stefano; Garulli, Andrea; Giannitrapani, Antonio | - | |
| Attacking RAG Systems in Multiple Domains with Locally Running and Automatic Procedures | 1-gen-2025 | Di Maio, Christian; Melacci, Stefano | - | |
| Autoassociative Neural Network based Active Shape Models | 1-gen-2008 | Castelli, I.; Maggini, M.; Melacci, S.; Sarti, L. | - | |
| Back to recurrent processing at the crossroad of transformers and state-space models | 1-gen-2025 | Tiezzi, Matteo; Casoni, Michele; Betti, Alessandro; Guidi, Tommaso; Gori, Marco; Melacci, Stefano | - | |
| Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks | 1-gen-2022 | Marullo, Simone; Tiezzi, Matteo; Gori, Marco; Melacci, Stefano | - | |
| Benchmarking in Neuro-Symbolic AI | 1-gen-2026 | Manhaeve, Robin; Giannini, Francesco; Ali, Mehdi; Azzolini, Damiano; Bizzarri, Alice; Borghesi, Andrea; Bortolotti, Samuele; De Raedt, Luc; Dhami, Devendra; Diligenti, Michelangelo; Dumančić, Sebastijan; Faltings, Boi; Gentili, Elisabetta; Gerevini, Alfonso; Gori, Marco; Guns, Tias; Homola, Martin; Kersting, Kristian; Lehmann, Jens; Lombardi, Michele; Lorello, Luca; Marconato, Emanuele; Melacci, Stefano; Passerini, Andrea; Paul, Debjit; Riguzzi, Fabrizio; Teso, Stefano; Yorke-Smith, Neil; Lippi, Marco | - | |
| Bridging Continual Learning of Motion and Self-Supervised Representations | 1-gen-2024 | Tiezzi, Matteo; Marullo, Simone; Betti, Alessandro; Casoni, Michele; Melacci, Stefano | - | |
| Can machines learn to see without visual databases? | 1-gen-2021 | Betti, Alessandro; Gori, Marco; Melacci, Stefano; Pelillo, Marcello; Roli, Fabio | - |