Sfoglia per Autore
Friendly Training: Neural Networks Can Adapt Data to Make Learning Easier
2021-01-01 Marullo, S.; Tiezzi, M.; Gori, M.; Melacci, S.
A language modeling-like approach to sketching
2021-01-01 Graziani, L.; Gori, M.; Melacci, S.
Generate and Revise: Reinforcement Learning in Neural Poetry
2021-01-01 Zugarini, A.; Pasqualini, L.; Melacci, S.; Maggini, M.
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects
2021-01-01 Meloni, E.; Tiezzi, M.; Pasqualini, L.; Gori, M.; Melacci, S.
Visual Features and Their Own Optical Flow
2021-01-01 Betti, A.; Boccignone, G.; Faggi, L.; Gori, M.; Melacci, S.
HEmog: A White-Box Model to Unveil the Connection Between Saliency Information and Human Head Motion in Virtual Reality
2021-01-01 Rondon, M. F. R.; Zanca, D.; Melacci, S.; Gori, M.; Sassatelli, L.
Learning to Identify Drilling Defects in Turbine Blades with Single Stage Detectors
2020-01-01 Panizza, Andrea; Tomasz Stefanek, Szymon; Melacci, Stefano; Veneri, Giacomo; Gori, Marco
Deep Lagrangian Propagation in Graph Neural Networks
2020-01-01 Tiezzi, Matteo; Marra, Giuseppe; Melacci, Stefano; Maggini, Marco
Lagrangian Propagation Graph Neural Networks
2020-01-01 Tiezzi, Matteo; Marra, Giuseppe; Melacci, Stefano; Maggini, Marco; Gori, Marco
Developing constrained neural units over time
2020-01-01 Betti, Alessandro; Gori, Marco; Marullo, Simone; Melacci, Stefano
Toward Improving the Evaluation of Visual Attention Models: A Crowdsourcing Approach
2020-01-01 Zanca, D.; Melacci, S.; Gori, M.
Local Propagation in Constraint-based Neural Networks
2020-01-01 Marra, G.; Tiezzi, M.; Melacci, S.; Betti, A.; Maggini, M.; Gori, M.
Learning visual features under motion invariance
2020-01-01 Betti, A.; Gori, M.; Melacci, S.
Gravitational laws of focus of attention
2020-01-01 Zanca, Dario; Melacci, Stefano; Gori, Marco
Sailenv: Learning in virtual visual environments made simple
2020-01-01 Meloni, E.; Pasqualini, L.; Tiezzi, M.; Gori, M.; Melacci, S.
Gravitational models explain shifts on human visual attention
2020-01-01 Zanca, D.; Gori, M.; Melacci, S.; Rufa, A.
Focus of attention improves information transfer in visual features
2020-01-01 Tiezzi, M.; Melacci, S.; Betti, A.; Maggini, M.; Gori, M.
Cognitive Action Laws: The Case of Visual Features
2020-01-01 Betti, Alessandro; Gori, Marco; Melacci, Stefano
Generating Facial Expressions Associated with Text
2020-01-01 Graziani, L.; Melacci, S.; Gori, M.
A Constraint-Based Approach to Learning and Explanation
2020-01-01 Ciravegna, Gabriele; Giannini, Francesco; Melacci, Stefano; Maggini, Marco; Gori, Marco
| Titolo | Data di pubblicazione | Autore(i) | File | Abstract |
|---|---|---|---|---|
| Friendly Training: Neural Networks Can Adapt Data to Make Learning Easier | 1-gen-2021 | Marullo, S.; Tiezzi, M.; Gori, M.; Melacci, S. | - | |
| A language modeling-like approach to sketching | 1-gen-2021 | Graziani, L.; Gori, M.; Melacci, S. | - | |
| Generate and Revise: Reinforcement Learning in Neural Poetry | 1-gen-2021 | Zugarini, A.; Pasqualini, L.; Melacci, S.; Maggini, M. | - | |
| Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects | 1-gen-2021 | Meloni, E.; Tiezzi, M.; Pasqualini, L.; Gori, M.; Melacci, S. | - | |
| Visual Features and Their Own Optical Flow | 1-gen-2021 | Betti, A.; Boccignone, G.; Faggi, L.; Gori, M.; Melacci, S. | - | |
| HEmog: A White-Box Model to Unveil the Connection Between Saliency Information and Human Head Motion in Virtual Reality | 1-gen-2021 | Rondon, M. F. R.; Zanca, D.; Melacci, S.; Gori, M.; Sassatelli, L. | - | |
| Learning to Identify Drilling Defects in Turbine Blades with Single Stage Detectors | 1-gen-2020 | Panizza, Andrea; Tomasz Stefanek, Szymon; Melacci, Stefano; Veneri, Giacomo; Gori, Marco | - | |
| Deep Lagrangian Propagation in Graph Neural Networks | 1-gen-2020 | Tiezzi, Matteo; Marra, Giuseppe; Melacci, Stefano; Maggini, Marco | - | |
| Lagrangian Propagation Graph Neural Networks | 1-gen-2020 | Tiezzi, Matteo; Marra, Giuseppe; Melacci, Stefano; Maggini, Marco; Gori, Marco | - | |
| Developing constrained neural units over time | 1-gen-2020 | Betti, Alessandro; Gori, Marco; Marullo, Simone; Melacci, Stefano | - | |
| Toward Improving the Evaluation of Visual Attention Models: A Crowdsourcing Approach | 1-gen-2020 | Zanca, D.; Melacci, S.; Gori, M. | - | |
| Local Propagation in Constraint-based Neural Networks | 1-gen-2020 | Marra, G.; Tiezzi, M.; Melacci, S.; Betti, A.; Maggini, M.; Gori, M. | - | |
| Learning visual features under motion invariance | 1-gen-2020 | Betti, A.; Gori, M.; Melacci, S. | - | |
| Gravitational laws of focus of attention | 1-gen-2020 | Zanca, Dario; Melacci, Stefano; Gori, Marco | - | |
| Sailenv: Learning in virtual visual environments made simple | 1-gen-2020 | Meloni, E.; Pasqualini, L.; Tiezzi, M.; Gori, M.; Melacci, S. | - | |
| Gravitational models explain shifts on human visual attention | 1-gen-2020 | Zanca, D.; Gori, M.; Melacci, S.; Rufa, A. | - | |
| Focus of attention improves information transfer in visual features | 1-gen-2020 | Tiezzi, M.; Melacci, S.; Betti, A.; Maggini, M.; Gori, M. | - | |
| Cognitive Action Laws: The Case of Visual Features | 1-gen-2020 | Betti, Alessandro; Gori, Marco; Melacci, Stefano | - | |
| Generating Facial Expressions Associated with Text | 1-gen-2020 | Graziani, L.; Melacci, S.; Gori, M. | - | |
| A Constraint-Based Approach to Learning and Explanation | 1-gen-2020 | Ciravegna, Gabriele; Giannini, Francesco; Melacci, Stefano; Maggini, Marco; Gori, Marco | - |
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