Myriam Bounhas

发表

Naive possibilistic classifiers for imprecise or uncertain numerical data

Mathieu Serrurier, Henri Prade, Khaled Mellouli, 2014, Fuzzy Sets Syst..

Analogical Classification: Handling Numerical Data

Gilles Richard, Henri Prade, Myriam Bounhas, 2014, SUM.

Analogical Classification: A Rule-Based View

Gilles Richard, Henri Prade, Myriam Bounhas, 2014, IPMU.

Oddness-Based Classifiers for Boolean or Numerical Data

Gilles Richard, Henri Prade, Myriam Bounhas, 2015, KI.

Possibilistic Classifiers for Certain/Uncertain Numerical Data. (Classifieurs Possibilistes des données Numériques Certaines et Incertaines)

Myriam Bounhas, 2013 .

A New View of Conformity and Its Application to Classification

Gilles Richard, Henri Prade, Myriam Bounhas, 2015, ECSQARU.

Analogy-based Matching Model for Domain-specific Information Retrieval

Myriam Bounhas, Bilel Elayeb, 2019, ICAART.

Oddness/evenness-based classifiers for Boolean or numerical data

Henri Prade, Myriam Bounhas, Gilles Richard, 2017, Int. J. Approx. Reason..

Using Class-Based Reasoning to Improve the Accuracy of Symbolic Rules in a Hybrid Possibilistic Approach

Khaled Mellouli, Myriam Bounhas, 2010, 2010 Second International Conference on Advances in Databases, Knowledge, and Data Applications.

Analogy-based classifiers for nominal or numerical data

Gilles Richard, Henri Prade, Myriam Bounhas, 2017, Int. J. Approx. Reason..

An Analogical Interpolation Method for Enlarging a Training Dataset

Henri Prade, Myriam Bounhas, 2019, SUM.

Not Being at Odds with a Class: A New Way of Exploiting Neighbors for Classification

Gilles Richard, Henri Prade, Myriam Bounhas, 2016, ECAI.

Oddness‐based classification: A new way of exploiting neighbors

Gilles Richard, Henri Prade, Myriam Bounhas, 2018, Int. J. Intell. Syst..

A Possibilistic Rule-Based Classifier

Mathieu Serrurier, Henri Prade, Khaled Mellouli, 2012, IPMU.

Comparison of Analogy-Based Methods for Predicting Preferences

Henri Prade, Myriam Bounhas, Olivier Sobrie, 2019, SUM.

A possibilistic classification approach to handle continuous data

Khaled Mellouli, Myriam Bounhas, K. Mellouli, 2010, ACS/IEEE International Conference on Computer Systems and Applications - AICCSA 2010.

Possibilistic classifiers for numerical data

Mathieu Serrurier, Henri Prade, Khaled Mellouli, 2013, Soft Comput..

Evenness-Based Reasoning with Logical Proportions Applied to Classification

Gilles Richard, Henri Prade, Myriam Bounhas, 2015, SUM.

From Bayesian Classifiers to Possibilistic Classifiers for Numerical Data

Mathieu Serrurier, Henri Prade, Khaled Mellouli, 2010, SUM.

Predicting Preferences by Means of Analogical Proportions

Henri Prade, Myriam Bounhas, Marc Pirlot, 2018, ICCBR.

Possibilistic Classifiers for Uncertain Numerical Data

Mathieu Serrurier, Henri Prade, Khaled Mellouli, 2011, ECSQARU.

Continuous Analogical Proportions-Based Classifier

Henri Prade, Myriam Bounhas, Marouane Essid, 2020, IPMU.

Analogical classification: A new way to deal with examples

Gilles Richard, Henri Prade, Myriam Bounhas, 2014, ECAI.

Mono- and Cross-Language Information Retrieval based on Analogical Proportions: A Review

Myriam Bounhas, Bilel Elayeb, 2021, ICICT.