| Surprise: A Python library for recommender systems N Hug Journal of Open Source Software 5 (52), 2174, 2020 | 398 | 2020 |
| Analogy-preserving functions: a way to extend Boolean samples M Couceiro, N Hug, H Prade, G Richard 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 1-7, 2017 | 64 | 2017 |
| Analogical classifiers: A theoretical perspective N Hug, H Prade, G Richard, M Serrurier ECAI 2016, 689-697, 2016 | 27 | 2016 |
| Behavior of analogical inference wrt Boolean functions M Couceiro, N Hug, H Prade, G Richard IJCAI 2018-27th International Joint Conference on Artificial Intelligence …, 2018 | 25 | 2018 |
| Analogical proportion-based methods for recommendation–first investigations N Hug, H Prade, G Richard, M Serrurier Fuzzy sets and systems 366, 110-132, 2019 | 24 | 2019 |
| scikit-learn/scikit-learn: Scikit-learn 0.22. 1 O Grisel, A Mueller, A Gramfort, G Louppe, P Prettenhofer, M Blondel, ... Zenodo, 2020 | 14 | 2020 |
| Surprise, a Python library for recommender systems (2017) N Hug | 14 | 2019 |
| Experimenting analogical reasoning in recommendation N Hug, H Prade, G Richard Foundations of Intelligent Systems: 22nd International Symposium, ISMIS 2015 …, 2015 | 7 | 2015 |
| Surprise: a Python scikit for recommender systems N Hug Surprise.[Online]. Available: http://surpriselib. com, 2019 | 5 | 2019 |
| Analogy in recommendation. Numerical vs. ordinal: A discussion N Hug, H Prade, G Richard, M Serrurier 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2220-2226, 2016 | 5 | 2016 |
| scikit-learn/scikit-learn: scikit-learn 1.0. 1 O Grisel, A Mueller, A Gramfort, G Louppe, P Prettenhofer, M Blondel, ... Zenodo, 2022 | 4 | 2022 |
| Contributions to the use of analogical proportions for machine learning: theoretical properties and application to recommendation N Hug Université Paul Sabatier-Toulouse III, 2017 | 3 | 2017 |
| Fonctions préservées par analogie: une méthode pour étendre des données booléennes M Couceiro, N Hug, H Prade, G Richard 11e Journées d'Intelligence Artificielle Fondamentale, 2017 | 1 | 2017 |
| Raisonnement analogique pour la recommandation: premières expérimentations N Hug, H Prade, G Richard 9es Journées d'Intelligence Artificielle Fondamentale (IAF 2015) in Plate …, 2015 | | 2015 |
| scikit-learn/scikit-learn: Scikit-learn 0.22. 2. post1 O Grisel, A Mueller, A Gramfort, G Louppe, P Prettenhofer, M Blondel, ... Zenodo, 0 | | |
| Fonctions préservées par analogie: une méthode pour étendre des données booléennes Analogy-preserving fonctions: A way to extend Boolean samples M Couceiro, N Hug, H Prade, G Richard | | |
