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Nicolas Hug
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2020 – today
- 2020
- [j2]Nicolas Hug
:
Surprise: A Python library for recommender systems. J. Open Source Softw. 5(52): 2174 (2020)
2010 – 2019
- 2019
- [j1]Nicolas Hug, Henri Prade, Gilles Richard, Mathieu Serrurier:
Analogical proportion-based methods for recommendation - First investigations. Fuzzy Sets Syst. 366: 110-132 (2019) - 2018
- [c5]Miguel Couceiro
Behavior of Analogical Inference w.r.t. Boolean Functions. IJCAI 2018: 2057-2063 - 2017
- [b1]Nicolas Hug:
Contributions to the use of analogical proportions for machine learning : theoretical properties and application to recommendation. (Contributions à l'usage des proportions analogiques pour l'apprentissage artificiel : propriétés théoriques et application à la recommandation). Paul Sabatier University, Toulouse, France, 2017 - [c4]Miguel Couceiro
Analogy-preserving functions: A way to extend Boolean samples. IJCAI 2017: 1575-1581 - 2016
- [c3]Nicolas Hug, Henri Prade, Gilles Richard, Mathieu Serrurier:
Analogical Classifiers: A Theoretical Perspective. ECAI 2016: 689-697 - [c2]Nicolas Hug, Henri Prade, Gilles Richard, Mathieu Serrurier:
Analogy in recommendation. Numerical vs. ordinal: A discussion. FUZZ-IEEE 2016: 2220-2226 - 2015
- [c1]Nicolas Hug, Henri Prade, Gilles Richard:
Experimenting Analogical Reasoning in Recommendation. ISMIS 2015: 69-78
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