NGUEMBANG FADJA, Arnaud
NGUEMBANG FADJA, Arnaud
Dipartimento di Medicina Traslazionale e per la Romagna
A Dataset of Annotated African Plum Images from Cameroon for AI-Based Quality Assessment
file con accesso da definire2025 Fadja, Arnaud Nguembang; Tagni, Armel Gabin Fameni; Che, Sain Rigobert; Atemkeng, Marcellin
Dataset of Selected Medicinal Plant Species of the Genus Brachylaena: A Comparative Application of Deep Learning Models for Plant Leaf Recognition
file con accesso da definire2023 Deyi, A.; Nguembang Fadja, A.; Goosen, E. D.; Noundou, X. S.; Atemkeng, M.
Deep learning for probabilistic logic programming
2018 Fadja, Arnaud Nguembang; Riguzzi, Fabrizio; Lamma, Evelina
Deep probabilistic logic programming
file con accesso da definire2017 NGUEMBANG FADJA, Arnaud; Lamma, Evelina; Riguzzi, Fabrizio
Ensemble learning and deep learning-based defect detection in power generation plants
file con accesso da definire2024 Atemkeng, M.; Osanyindoro, V.; Rockefeller, R.; Hamlomo, S.; Mulongo, J.; Ansah-Narh, T.; Tchakounte, F.; Nguembang Fadja, A.
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.
Intelligent Fruit Inspection System: Developing a YOLO-based Model for Identifying Defects on Plums Surface
file con accesso da definire2023 Rigobert Che, Sain; NGUEMBANG FADJA, Arnaud
Intelligent Vision System with Pruning and Web Interface for Real-Time Defect Detection on African Plum Surfaces
file con accesso da definire2024 Nguembang Fadja, A.; Che, S. R.; Atemkemg, M.
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
Lifted discriminative learning of probabilistic logic programs
2019 Nguembang Fadja, A.; Riguzzi, F.
Machine Learning Approaches for the Prediction of Gas Turbine Transients
2024 NGUEMBANG FADJA, Arnaud; Cota, Giuseppe; Bertasi, Francesco; Riguzzi, Fabrizio; Losi, Enzo; Manservigi, Lucrezia; Venturini, Mauro; Bechini, Giovanni
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
Neural-Symbolic System for Predicting COVID-19 Positivity
file con accesso da definire2022 NGUEMBANG FADJA, Arnaud; Fraccaroli, Michele; Bizzarri, Alice
Probabilistic logic programming in action
file con accesso da definire2017 NGUEMBANG FADJA, Arnaud; Riguzzi, Fabrizio
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
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Dataset of Annotated African Plum Images from Cameroon for AI-Based Quality Assessment | 2025 | Fadja, Arnaud Nguembang; Tagni, Armel Gabin Fameni; Che, Sain Rigobert; Atemkeng, Marcellin | file con accesso da definire |
| Dataset of Selected Medicinal Plant Species of the Genus Brachylaena: A Comparative Application of Deep Learning Models for Plant Leaf Recognition | 2023 | Deyi, A.; Nguembang Fadja, A.; Goosen, E. D.; Noundou, X. S.; Atemkeng, M. | file con accesso da definire |
| 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 |
| Ensemble learning and deep learning-based defect detection in power generation plants | 2024 | Atemkeng, M.; Osanyindoro, V.; Rockefeller, R.; Hamlomo, S.; Mulongo, J.; Ansah-Narh, T.; Tchakou...nte, F.; Nguembang Fadja, A. | 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. | |
| Intelligent Fruit Inspection System: Developing a YOLO-based Model for Identifying Defects on Plums Surface | 2023 | Rigobert Che, Sain; NGUEMBANG FADJA, Arnaud | file con accesso da definire |
| Intelligent Vision System with Pruning and Web Interface for Real-Time Defect Detection on African Plum Surfaces | 2024 | Nguembang Fadja, A.; Che, S. R.; Atemkemg, M. | file con accesso da definire |
| 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 | |
| Lifted discriminative learning of probabilistic logic programs | 2019 | Nguembang Fadja, A.; Riguzzi, F. | |
| 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 | |
| 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 | |
| Neural-Symbolic System for Predicting COVID-19 Positivity | 2022 | NGUEMBANG FADJA, Arnaud; Fraccaroli, Michele; Bizzarri, Alice | file con accesso da definire |
| 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 |