Conférences Internationales avec comité de lecture et actes
Myriam Bounhas
, Henri Prade
, Gilles Richard
Not Being at Odds with a Class: A New Way of Exploiting Neighbors for Classification.,
<p>In Proceeding of the 22nd European Conference on Artificial Intelligence (ECAI16), pp.1662-1663. The Hague, Holland.</p>
, 2016
Myriam Bounhas
, Henri Prade
, Gilles Richard
A new view of conformity and its application to classification,
<p>In European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU), S. Destercke and T. Denoeux (eds.), LNAI 9161, Springer International Publishing Switzerland, Compiègne, France, pp. 1–12, 2015</p>
, 2015
Myriam Bounhas
, Henri Prade
, Gilles Richard
Evenness-based reasoning with logical proportions applied to classification,
<p>In The 9th International Conference on Scalable Uncertainty Management (SUM), Springer, LNAI 9310, pp. 1-16, Quebec City, Canada, September 16-18.</p>
, 2015
Myriam Bounhas
, Henri Prade
, Gilles Richard
Oddness-based classifiers for Boolean or numerical data,
<p>In The 38th German Conference on Artificial Intelligence (KI), LNAI 9324, Springer International Switzerland, pp. 1-13, Dresden, Germany, September 21-25.</p>
, 2015
Myriam Bounhas
, Henri Prade
, Gilles Richard
Analogical Classification: a Rule-Based View,
<p>In A. Laurent et al. (Eds.), the proceedings of the 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU14), Springer International Publishing Switzerland, Part II, CCIS 443, pp. 485–495</p>
, 2014
Myriam Bounhas
, Henri Prade
, Gilles Richard
Analogical classification: A new way to deal with examples,
<p>In Proceedings of the 21st European Conference on Artificial Intelligence (ECAI), IOS Press, pp. 135-140, Prague, Czech Republic</p>
, 2014
Myriam Bounhas
, Henri Prade
, Gilles Richard
La classification analogique : Une nouvelle manière d’exploiter des exemples,
<p>Dans Proceedings de Huitièmes Journées de l'Intelligence Artificielle Fondamentale. Angers, France</p>
, 2014
Myriam Bounhas
, Henri Prade
, Gilles Richard
Analogical Classification: Handling Numerical Data,
<p>IIn Proceedings of The 8th International Conference on Scalable Uncertainty Management (SUM), Umberto Straccia, Andrea Calì (eds.), LNCS 8720, Springer, pp. 66-79, Oxford, UK.</p>
, 2014
Myriam Bounhas
, Henri Prade
, Mathieu Serrurier
, Khaled Mellouli
A possibilistic rule-based classifier,
<p>In the proceeding of the 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU12), S. Greco et al. (Eds.), Part I, CCIS 297, pp. 21–31, Springer-Verlag, Berlin Heidelberg</p>
, 2012
Myriam Bounhas
, Henri Prade
, Mathieu Serrurier
, Khaled Mellouli
Possibilistic Classifiers for Uncertain Numerical Data,
<p>In European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2011), Liu W. (eds.), LNAI 6717, Springer-Verlag, pp. 434–446, Belfast, North Ireland</p>
, 2011
Myriam Bounhas
, Khaled Mellouli
, Henri Prade
, Mathieu Serrurier
From Bayesian Classifiers to Possibilistic Classifiers for numerical data,
<p>In The Fourth International Conference on Scalable Uncertainty Management (SUM 2010), Deshplande A. and Hunter A. (eds.), LNAI 6379, Springer-Verlag, pp. 112-125, Toulouse, France</p>
, 2011
Myriam Bounhas
, Khaled Mellouli
A Possibilistic Classification Approach To Handle Continuous Data,
<p>In the Proceeding of the eighth ACS/IEEE International Conference on Computer Systems and Applications (AICCSA-10), pp. 1-8, IEEE Computer Society, Hammamet, Tunisia</p>
, 2010
Myriam Bounhas
, Khaled Mellouli
Using Class-based Reasoning to Improve the Accuracy of Symbolic Rules in a Hybrid Possibilistic Approach,
<p>In the Proceeding of the Second International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2010), Menuires, The Three Valleys, France, pp. 222-228</p>
, 2010
