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Mostrati risultati da 1 a 11 di 11
Deep probabilistic logic programming
file con accesso da definire2017 NGUEMBANG FADJA, Arnaud; Lamma, Evelina; Riguzzi, Fabrizio
Probabilistic logic programming in action
file con accesso da definire2017 NGUEMBANG FADJA, Arnaud; Riguzzi, Fabrizio
Deep learning for probabilistic logic programming
2018 Fadja, Arnaud Nguembang; Riguzzi, Fabrizio; Lamma, Evelina
Vision inspection with neural networks
2018 Fadja, Arnaud Nguembang; Lamma, Evelina; Riguzzi, Fabrizio
Learning the parameters of deep probabilistic logic programs
2018 NGUEMBANG FADJA, Arnaud; Riguzzi, Fabrizio; Lamma, Evelina
Expectation Maximization in Deep Probabilistic Logic Programming
2018 Nguembang Fadja, A.; Riguzzi, F.; Lamma, E.
Scalable Probabilistic Inductive Logic Programming for Big Data
2020 NGUEMBANG FADJA, Arnaud
Learning hierarchical probabilistic logic programs
2021 Nguembang Fadja, A.; Riguzzi, F.; Lamma, E.
Identification of natural selection in genomic data with deep convolutional neural network
2021 Nguembang Fadja, A.; Riguzzi, F.; Bertorelle, G.; Trucchi, E.
Neural-Symbolic Ensemble Learning for early-stage prediction of critical state of Covid-19 patients
2022 Fadja, Arnaud Nguembang; Fraccaroli, Michele; Bizzarri, Alice; Mazzuchelli, Giulia; Lamma, Evelina
Machine Learning Approaches for the Prediction of Gas Turbine Transients
file con accesso da definire2024 NGUEMBANG FADJA, Arnaud; Cota, Giuseppe; Bertasi, Francesco; Riguzzi, Fabrizio; Losi, Enzo; Manservigi, Lucrezia; Venturini, Mauro; Bechini, Giovanni
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Deep probabilistic logic programming | 2017 | NGUEMBANG FADJA, Arnaud; Lamma, Evelina; Riguzzi, Fabrizio | file con accesso da definire |
| Probabilistic logic programming in action | 2017 | NGUEMBANG FADJA, Arnaud; Riguzzi, Fabrizio | file con accesso da definire |
| Deep learning for probabilistic logic programming | 2018 | Fadja, Arnaud Nguembang; Riguzzi, Fabrizio; Lamma, Evelina | |
| Vision inspection with neural networks | 2018 | Fadja, Arnaud Nguembang; Lamma, Evelina; Riguzzi, Fabrizio | |
| Learning the parameters of deep probabilistic logic programs | 2018 | NGUEMBANG FADJA, Arnaud; Riguzzi, Fabrizio; Lamma, Evelina | |
| Expectation Maximization in Deep Probabilistic Logic Programming | 2018 | Nguembang Fadja, A.; Riguzzi, F.; Lamma, E. | |
| Scalable Probabilistic Inductive Logic Programming for Big Data | 2020 | NGUEMBANG FADJA, Arnaud | |
| Learning hierarchical probabilistic logic programs | 2021 | Nguembang Fadja, A.; Riguzzi, F.; Lamma, E. | |
| Identification of natural selection in genomic data with deep convolutional neural network | 2021 | Nguembang Fadja, A.; Riguzzi, F.; Bertorelle, G.; Trucchi, E. | |
| Neural-Symbolic Ensemble Learning for early-stage prediction of critical state of Covid-19 patients | 2022 | Fadja, Arnaud Nguembang; Fraccaroli, Michele; Bizzarri, Alice; Mazzuchelli, Giulia; Lamma, Evelina | |
| Machine Learning Approaches for the Prediction of Gas Turbine Transients | 2024 | NGUEMBANG FADJA, Arnaud; Cota, Giuseppe; Bertasi, Francesco; Riguzzi, Fabrizio; Losi, Enzo; Manse...rvigi, Lucrezia; Venturini, Mauro; Bechini, Giovanni | file con accesso da definire |
Mostrati risultati da 1 a 11 di 11
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