Myriam Bounhas

According to our database, Myriam Bounhas authored at least 32 papers between 2010 and 2024.

Collaborative distances:

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

2024

Arabic text classification based on analogical proportions.

Myriam Bounhas, Bilel Elayeb, Amina Chouigui, Amir Hussain, Erik Cambria

Expert Syst. J. Knowl. Eng., October, 2024

Revisiting analogical proportions and analogical inference.

Myriam Bounhas, Henri Prade

Int. J. Approx. Reason., 2024

2023

Analogy-based classifiers: An improved algorithm exploiting competent data pairs.

Myriam Bounhas, Henri Prade

Int. J. Approx. Reason., 2023

Analogical Text Mining: Application to Arabic Text Summarization and Classification.

Bilel Elayeb, Amina Chouigui, Myriam Bounhas

Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023

2022

Some recent advances in reasoning based on analogical proportions.

Myriam Bounhas, Henri Prade, Gilles Richard

CoRR, 2022

Logical Proportions-Related Classification Methods Beyond Analogy.

Myriam Bounhas, Henri Prade

Proceedings of the Scalable Uncertainty Management - 15th International Conference, 2022

2021

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

Bilel Elayeb, Myriam Bounhas

Proceedings of Sixth International Congress on Information and Communication Technology, 2021

Logical Proportions for Classification and Preference Learning. (Logische Proportionen für Klassifikation und Präferenzlernen / Proportions Logiques pour la Classification et l'Apprentissage de Préférences).

Myriam Bounhas

, 2021

2020

Automatic Arabic Text Summarization Using Analogical Proportions.

Bilel Elayeb, Amina Chouigui, Myriam Bounhas, Oussama Ben Khiroun

Cogn. Comput., 2020

Continuous Analogical Proportions-Based Classifier.

Marouane Essid, Myriam Bounhas, Henri Prade

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

2019

Comparison of Analogy-Based Methods for Predicting Preferences.

Myriam Bounhas, Marc Pirlot, Henri Prade, Olivier Sobrie

Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019

An Analogical Interpolation Method for Enlarging a Training Dataset.

Myriam Bounhas, Henri Prade

Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019

Analogy-based Matching Model for Domain-specific Information Retrieval.

Myriam Bounhas, Bilel Elayeb

Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

2018

Oddness-based classification: A new way of exploiting neighbors.

Myriam Bounhas, Henri Prade, Gilles Richard

Int. J. Intell. Syst., 2018

Predicting Preferences by Means of Analogical Proportions.

Myriam Bounhas, Marc Pirlot, Henri Prade

Proceedings of the Case-Based Reasoning Research and Development, 2018

2017

Analogy-based classifiers for nominal or numerical data.

Myriam Bounhas, Henri Prade, Gilles Richard

Int. J. Approx. Reason., 2017

Oddness/evenness-based classifiers for Boolean or numerical data.

Myriam Bounhas, Henri Prade, Gilles Richard

Int. J. Approx. Reason., 2017

2016

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

Myriam Bounhas, Henri Prade, Gilles Richard

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

2015

Evenness-Based Reasoning with Logical Proportions Applied to Classification.

Myriam Bounhas, Henri Prade, Gilles Richard

Proceedings of the Scalable Uncertainty Management - 9th International Conference, 2015

Oddness-Based Classifiers for Boolean or Numerical Data.

Myriam Bounhas, Henri Prade, Gilles Richard

Proceedings of the KI 2015: Advances in Artificial Intelligence, 2015

A New View of Conformity and Its Application to Classification.

Myriam Bounhas, Henri Prade, Gilles Richard

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

2014

Naive possibilistic classifiers for imprecise or uncertain numerical data.

Myriam Bounhas, Mohammad Ghasemi Hamed, Henri Prade, Mathieu Serrurier, Khaled Mellouli

Fuzzy Sets Syst., 2014

Analogical Classification: Handling Numerical Data.

Myriam Bounhas, Henri Prade, Gilles Richard

Proceedings of the Scalable Uncertainty Management - 8th International Conference, 2014

Analogical Classification: A Rule-Based View.

Myriam Bounhas, Henri Prade, Gilles Richard

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Analogical classification: A new way to deal with examples.

Myriam Bounhas, Henri Prade, Gilles Richard

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013

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

Myriam Bounhas

PhD thesis, 2013

Possibilistic classifiers for numerical data.

Myriam Bounhas, Khaled Mellouli, Henri Prade, Mathieu Serrurier

Soft Comput., 2013

2012

A Possibilistic Rule-Based Classifier.

Myriam Bounhas, Henri Prade, Mathieu Serrurier, Khaled Mellouli

Proceedings of the Advances on Computational Intelligence, 2012

2011

Possibilistic Classifiers for Uncertain Numerical Data.

Myriam Bounhas, Henri Prade, Mathieu Serrurier, Khaled Mellouli

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

2010

From Bayesian Classifiers to Possibilistic Classifiers for Numerical Data.

Myriam Bounhas, Khaled Mellouli, Henri Prade, Mathieu Serrurier

Proceedings of the Scalable Uncertainty Management - 4th International Conference, 2010

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

Myriam Bounhas, Khaled Mellouli

Proceedings of the Second International Conference on Advances in Databases, 2010

A possibilistic classification approach to handle continuous data.

Myriam Bounhas, Khaled Mellouli

Proceedings of the 8th ACS/IEEE International Conference on Computer Systems and Applications, 2010