GALATOLO, FEDERICO ANDREA Statistiche
GALATOLO, FEDERICO ANDREA
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE
A machine learning approach for groundwater modeling
2022-01-01 Cimino, Mario G. C. A.; Ennahedh, Manel; Galatolo, Federico A.; Hariga-Tlatli, Nejla; Nouiri, Issam; Perilli, Nicola; Tarhouni, Jamila
Deep learning of structural changes in historical buildings: the case study of the Pisa tower
2022-01-01 Cimino, Mario G. C. A.; Galatolo, Federico A.; Parola, Marco; Perilli, Nicola; Squeglia, Nunziante
Enhancing land subsidence awareness via InSAR data and Deep Transformers
2022-01-01 Orlandi, D.; Galatolo, F. A.; Cimino, M. G. C. A.; La Rosa, A.; Pagli, C.; Perilli, N.
Formal Derivation of Mesh Neural Networks with Their Forward-Only Gradient Propagation
2021-01-01 Galatolo, F. A.; Cimino, M. G. C. A.; Vaglini, G.
Generating Images from Caption and Vice Versa via CLIP-Guided Generative Latent Space Search
2021-01-01 Galatolo, Federico A.; Cimino, Mario G. C. A.; Vaglini, Gigliola
Idee, persone, realia: un ambiente digitale per la Via della Seta
2022-01-01 Carbé, Emmanuela; Balbo, Andrea; Tommasi, CHIARA OMBRETTA; Stella, Francesco; Cimino, Mario G. C. A.; Galatolo, Federico A.; Aiola, Chiara
Multi-objective optimization of water distribution networks via NSGA-II and Pseudo-Weights
2021-01-01 BEN AMMAR, Samar; Cimino, MARIO GIOVANNI COSIMO ANTONIO; Foglia, Pierfrancesco; Galatolo, FEDERICO ANDREA; Nouiri., Issam
Noise Boosted Neural Receptive Fields
2021-01-01 Galatolo, FEDERICO ANDREA; Cimino, MARIO GIOVANNI COSIMO ANTONIO; Marincioni, Alessandro; Vaglini, Gigliola
Solving the scalarization issues of Advantage-based Reinforcement Learning algorithms
2021-01-01 Galatolo, F. A.; Cimino, M. G. C. A.; Vaglini, G.
Spikiness Assessment of Term Occurrences in Microblogs: an Approach Based on Computational Stigmergy
2017-01-01 Cimino, M. G. C. A.; Galatolo, F.; Lazzeri, A.; Pedrycz, W.; Vaglini, G.
Structural Damage Localization via Deep Learning and IoT Enabled Digital Twin
2022-01-01 Parola, Marco; Galatolo, Federico; Torzoni, Matteo; Cimino, Mario; Vaglini, Gigliola
Using Deep Learning-based Object Detection to Extract Structure Information from Scanned Documents
2022-01-01 Nannini, Alice; Galatolo, Federico; Cimino, Mario; Vaglini, Gigliola
Using stigmergy as a computational memory in the design of recurrent neural networks
2019-01-01 Galatolo, F. A.; Cimino, M. G. C. A.; Vaglini, G.
Using stigmergy to incorporate the time into artificial neural networks
2018-01-01 Galatolo, Federico A.; Cimino, Mario G. C. A.; Vaglini, Gigliola
Zero-shot Mathematical Problem Solving via Generative Pre-trained Transformers
2022-01-01 Galatolo, Federico; Cimino, Mario; Vaglini, Gigliola
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A machine learning approach for groundwater modeling | 1-gen-2022 | Cimino, Mario G. C. A.; Ennahedh, Manel; Galatolo, Federico A.; Hariga-Tlatli, Nejla; Nouiri, Issam; Perilli, Nicola; Tarhouni, Jamila | |
| Deep learning of structural changes in historical buildings: the case study of the Pisa tower | 1-gen-2022 | Cimino, Mario G. C. A.; Galatolo, Federico A.; Parola, Marco; Perilli, Nicola; Squeglia, Nunziante | |
| Enhancing land subsidence awareness via InSAR data and Deep Transformers | 1-gen-2022 | Orlandi, D.; Galatolo, F. A.; Cimino, M. G. C. A.; La Rosa, A.; Pagli, C.; Perilli, N. | |
| Formal Derivation of Mesh Neural Networks with Their Forward-Only Gradient Propagation | 1-gen-2021 | Galatolo, F. A.; Cimino, M. G. C. A.; Vaglini, G. | |
| Generating Images from Caption and Vice Versa via CLIP-Guided Generative Latent Space Search | 1-gen-2021 | Galatolo, Federico A.; Cimino, Mario G. C. A.; Vaglini, Gigliola | |
| Idee, persone, realia: un ambiente digitale per la Via della Seta | 1-gen-2022 | Carbé, Emmanuela; Balbo, Andrea; Tommasi, CHIARA OMBRETTA; Stella, Francesco; Cimino, Mario G. C. A.; Galatolo, Federico A.; Aiola, Chiara | |
| Multi-objective optimization of water distribution networks via NSGA-II and Pseudo-Weights | 1-gen-2021 | BEN AMMAR, Samar; Cimino, MARIO GIOVANNI COSIMO ANTONIO; Foglia, Pierfrancesco; Galatolo, FEDERICO ANDREA; Nouiri., Issam | |
| Noise Boosted Neural Receptive Fields | 1-gen-2021 | Galatolo, FEDERICO ANDREA; Cimino, MARIO GIOVANNI COSIMO ANTONIO; Marincioni, Alessandro; Vaglini, Gigliola | |
| Solving the scalarization issues of Advantage-based Reinforcement Learning algorithms | 1-gen-2021 | Galatolo, F. A.; Cimino, M. G. C. A.; Vaglini, G. | |
| Spikiness Assessment of Term Occurrences in Microblogs: an Approach Based on Computational Stigmergy | 1-gen-2017 | Cimino, M. G. C. A.; Galatolo, F.; Lazzeri, A.; Pedrycz, W.; Vaglini, G. | |
| Structural Damage Localization via Deep Learning and IoT Enabled Digital Twin | 1-gen-2022 | Parola, Marco; Galatolo, Federico; Torzoni, Matteo; Cimino, Mario; Vaglini, Gigliola | |
| Using Deep Learning-based Object Detection to Extract Structure Information from Scanned Documents | 1-gen-2022 | Nannini, Alice; Galatolo, Federico; Cimino, Mario; Vaglini, Gigliola | |
| Using stigmergy as a computational memory in the design of recurrent neural networks | 1-gen-2019 | Galatolo, F. A.; Cimino, M. G. C. A.; Vaglini, G. | |
| Using stigmergy to incorporate the time into artificial neural networks | 1-gen-2018 | Galatolo, Federico A.; Cimino, Mario G. C. A.; Vaglini, Gigliola | |
| Zero-shot Mathematical Problem Solving via Generative Pre-trained Transformers | 1-gen-2022 | Galatolo, Federico; Cimino, Mario; Vaglini, Gigliola |