| Probabilistic logic programming in action AN Fadja, F Riguzzi Towards Integrative Machine Learning and Knowledge Extraction: BIRS Workshop …, 2017 | 33* | 2017 |
| Lifted discriminative learning of probabilistic logic programs A Nguembang Fadja, F Riguzzi Machine Learning 108 (7), 1111-1135, 2019 | 20 | 2019 |
| Neural-Symbolic Ensemble Learning for early-stage prediction of critical state of Covid-19 patients AN Fadja, M Fraccaroli, A Bizzarri, G Mazzuchelli, E Lamma Medical & Biological Engineering & Computing 60 (12), 3461-3474, 2022 | 11 | 2022 |
| Identification of natural selection in genomic data with deep convolutional neural network A Nguembang Fadja, F Riguzzi, G Bertorelle, E Trucchi BioData Mining 14, 1-18, 2021 | 11 | 2021 |
| Learning hierarchical probabilistic logic programs A Nguembang Fadja, F Riguzzi, E Lamma Machine Learning 110 (7), 1637-1693, 2021 | 9 | 2021 |
| Vision inspection with neural networks AN Fadja, E Lamma, F Riguzzi CEUR WORKSHOP PROCEEDINGS 2272, 1-10, 2018 | 7 | 2018 |
| Learning the parameters of deep probabilistic logic programs A NGUEMBANG FADJA, F Riguzzi, E Lamma CEUR WORKSHOP PROCEEDINGS 2219, 9-14, 2018 | 5 | 2018 |
| Expectation maximization in deep probabilistic logic programming AN Fadja, F Riguzzi, E Lamma AI* IA 2018–Advances in Artificial Intelligence: XVIIth International …, 2018 | 5 | 2018 |
| Intelligent Fruit Inspection System: Developing a YOLO-based Model for Identifying Defects on Plums Surface SR Che, AN Fadja Deep Learning Indaba 2023, 2023 | 2 | 2023 |
| Label assisted autoencoder for anomaly detection in power generation plants M Atemkeng, V Osanyindoro, R Rockefeller, S Hamlomo, J Mulongo, ... arXiv preprint arXiv:2302.02896, 2023 | 1 | 2023 |
| Deep learning for probabilistic logic programming AN Fadja, F Riguzzi, E Lamma CEUR WORKSHOP PROCEEDINGS 2249, 43-47, 2018 | 1 | 2018 |
| A Dataset of Annotated African Plum Images from Cameroon for AI-Based Quality Assessment AN Fadja, AGF Tagni, SR Che, M Atemkeng Data in Brief, 111351, 2025 | | 2025 |
| Ensemble learning and deep learning-based defect detection in power generation plants M Atemkeng, V Osanyindoro, R Rockefeller, S Hamlomo, J Mulongo, ... Journal of Intelligent Systems 33 (1), 20230283, 2024 | | 2024 |
| Intelligent Vision System with Pruning and Web Interface for Real-Time Defect Detection on African Plum Surfaces AN Fadja, SR Che, M Atemkemg Information 15 (10), 635, 2024 | | 2024 |
| Intelligent Vision System for Identifying Defects on African Plum Surfaces AN Fadja, SR Che, M Atemkemg | | 2024 |
| Machine Learning Approaches for the Prediction of Gas Turbine Transients A NGUEMBANG FADJA, G Cota, F Bertasi, F Riguzzi, E Losi, ... JOURNAL OF COMPUTER SCIENCE 20 (5), 495-510, 2024 | | 2024 |
| Dataset of Selected Medicinal Plant Species of the Genus Brachylaena: A Comparative Application of Deep Learning Models for Plant Leaf Recognition A Deyi, AN Fadja, E Goosen, XS Noundou, M Atemkeng Journal of Computer Science 19 (11), 1387-1397, 2023 | | 2023 |
| Scalable Probabilistic Inductive Logic Programming for Big Data A NGUEMBANG FADJA Università degli studi di Ferrara, 2020 | | 2020 |
| Neural-Symbolic System for Predicting COVID-19 Positivity AN Fadja, M Fraccaroli, A Bizzarri Clin Case Rep Int. 2022; 6 1429, 0 | | |
| Probabilistic Logics in Machine Learning E Bellodi, G Cota, AN Fadja, E Lamma, F Riguzzi, R Zese | | |
