| Issue Date | Title | Author(s) |
| 2016-01-01 | Analogical classifiers: A theoretical perspective | Hug, N; Prade, H; Richard, G; Serrurier, M |
| 2016-11-07 | Analogy in recommendation. Numerical vs. Ordinal: A discussion | Hug, N; Prade, H; Richard, G; Serrurier, M |
| 2008-10-01 | Bipolar version space learning | Prade, H; Serrurier, M |
| 2012-11-05 | Classification based on possibilistic likelihood | Serrurier, M; Prade, H |
| 2009-08-27 | Elicitating sugeno integrals: Methodology and a case study | Prade, H; Rico, A; Serrurier, M; Raufaste, E |
| 2009-10-16 | Elicitation of sugeno integrals: A version space learning perspective | Prade, H; Rico, A; Serrurier, M |
| 2015-01-01 | Entropy evaluation based on confidence intervals of frequency estimates: Application to the learning of decision trees | Serrurier, M; Prade, H |
| 2010-10-25 | From Bayesian classifiers to possibilistic classifiers for numerical data | Bounhas, M; Mellouli, K; Prade, H; Serrurier, M |
| 2011-10-19 | Imprecise regression based on possibilistic likelihood | Serrurier, M; Prade, H |
| 2008-03-15 | Improving inductive logic programming by using simulated annealing | Serrurier, M; Prade, H |
| 2013-09-01 | An informational distance for estimating the faithfulness of a possibility distribution, viewed as a family of probability distributions, with respect to data | Serrurier, M; Prade, H |
| 2011-09-27 | Maximum-likelihood principle for possibility distributions viewed as families of probabilities | Serrurier, M; Prade, H |
| 2014-03-16 | Naive possibilistic classifiers for imprecise or uncertain numerical data | Bounhas, M; Ghasemi Hamed, M; Prade, H; Serrurier, M; Mellouli, K |
| 2013-01-01 | Possibilistic classifiers for numerical data | Bounhas, M; Mellouli, K; Prade, H; Serrurier, M |
| 2011-07-14 | Possibilistic classifiers for uncertain numerical data | Bounhas, M; Prade, H; Serrurier, M; Mellouli, K |
| 2012-11-02 | A possibilistic rule-based classifier | Bounhas, M; Prade, H; Serrurier, M; Mellouli, K |
| 2013-10-09 | A scalable learning algorithm for kernel probabilistic classifier | Serrurier, M; Prade, H |
| 2010-12-01 | Why imprecise regression: A discussion | Prade, H; Serrurier, M |
