Nicolas Hug

According to our database, Nicolas Hug authored at least 8 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Surprise: A Python library for recommender systems.

Nicolas Hug

J. Open Source Softw., 2020

2019

Analogical proportion-based methods for recommendation - First investigations.

Nicolas Hug, Henri Prade, Gilles Richard, Mathieu Serrurier

Fuzzy Sets Syst., 2019

2018

Behavior of Analogical Inference w.r.t. Boolean Functions.

Miguel Couceiro, Nicolas Hug, Henri Prade, Gilles Richard

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

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).

Nicolas Hug

PhD thesis, 2017

Analogy-preserving functions: A way to extend Boolean samples.

Miguel Couceiro, Nicolas Hug, Henri Prade, Gilles Richard

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Analogy in recommendation. Numerical vs. ordinal: A discussion.

Nicolas Hug, Henri Prade, Gilles Richard, Mathieu Serrurier

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Analogical Classifiers: A Theoretical Perspective.

Nicolas Hug, Henri Prade, Gilles Richard, Mathieu Serrurier

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

Experimenting Analogical Reasoning in Recommendation.

Nicolas Hug, Henri Prade, Gilles Richard

Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015