| Probabilistic logic programming in action AN Fadja, F Riguzzi Towards Integrative Machine Learning and Knowledge Extraction: BIRS Workshop …, 2017 | 32* | 2017 |
| Lifted discriminative learning of probabilistic logic programs A Nguembang Fadja, F Riguzzi Machine Learning 108 (7), 1111-1135, 2019 | 15 | 2019 |
| 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 | 7 | 2021 |
| Learning hierarchical probabilistic logic programs A Nguembang Fadja, F Riguzzi, E Lamma Machine Learning 110 (7), 1637-1693, 2021 | 6 | 2021 |
| Vision Inspection with Neural Networks. AN Fadja, E Lamma, F Riguzzi RiCeRcA@ AI* IA, 2018 | 6 | 2018 |
| Expectation maximization in deep probabilistic logic programming AN Fadja, F Riguzzi, E Lamma AI* IA 2018–Advances in Artificial Intelligence: XVIIth International …, 2018 | 6 | 2018 |
| Learning the Parameters of Deep Probabilistic Logic Programs. AN Fadja, F Riguzzi, E Lamma PLP@ ILP, 9-14, 2018 | 5 | 2018 |
| 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 | 3 | 2022 |
| 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 benchmark 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, 2023 | | 2023 |
| 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, ED 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 | | |
