NGUEMBANG FADJA, Arnaud

NGUEMBANG FADJA, Arnaud  

Dipartimento di Medicina Traslazionale e per la Romagna  

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Titolo Data di pubblicazione Autore(i) File
Deep learning for probabilistic logic programming 2018 Fadja, Arnaud Nguembang; Riguzzi, Fabrizio; Lamma, Evelina
Deep probabilistic logic programming 2017 NGUEMBANG FADJA, Arnaud; Lamma, Evelina; Riguzzi, Fabrizio file con accesso da definire
Expectation Maximization in Deep Probabilistic Logic Programming 2018 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.
Learning hierarchical probabilistic logic programs 2021 Nguembang Fadja, A.; Riguzzi, F.; Lamma, E.
Learning the parameters of deep probabilistic logic programs 2018 NGUEMBANG FADJA, Arnaud; Riguzzi, Fabrizio; 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
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
Probabilistic logic programming in action 2017 NGUEMBANG FADJA, Arnaud; Riguzzi, Fabrizio file con accesso da definire
Scalable Probabilistic Inductive Logic Programming for Big Data 2020 NGUEMBANG FADJA, Arnaud
Vision inspection with neural networks 2018 Fadja, Arnaud Nguembang; Lamma, Evelina; Riguzzi, Fabrizio