Myriam Bounhas

According to our database1, Myriam Bounhas authored at least 30 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Analogy-based classifiers: An improved algorithm exploiting competent data pairs.
Int. J. Approx. Reason., 2023

Analogical Text Mining: Application to Arabic Text Summarization and Classification.
Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023

2022
Some recent advances in reasoning based on analogical proportions.
CoRR, 2022

Logical Proportions-Related Classification Methods Beyond Analogy.
Proceedings of the Scalable Uncertainty Management - 15th International Conference, 2022

2021
Mono- and Cross-Language Information Retrieval based on Analogical Proportions: A Review.
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).
, 2021

2020
Automatic Arabic Text Summarization Using Analogical Proportions.
Cogn. Comput., 2020

Continuous Analogical Proportions-Based Classifier.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

2019
Comparison of Analogy-Based Methods for Predicting Preferences.
Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019

An Analogical Interpolation Method for Enlarging a Training Dataset.
Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019

Analogy-based Matching Model for Domain-specific Information Retrieval.
Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

2018
Oddness-based classification: A new way of exploiting neighbors.
Int. J. Intell. Syst., 2018

Predicting Preferences by Means of Analogical Proportions.
Proceedings of the Case-Based Reasoning Research and Development, 2018

2017
Analogy-based classifiers for nominal or numerical data.
Int. J. Approx. Reason., 2017

Oddness/evenness-based classifiers for Boolean or numerical data.
Int. J. Approx. Reason., 2017

2016
Not Being at Odds with a Class: A New Way of Exploiting Neighbors for Classification.
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.
Proceedings of the Scalable Uncertainty Management - 9th International Conference, 2015

Oddness-Based Classifiers for Boolean or Numerical Data.
Proceedings of the KI 2015: Advances in Artificial Intelligence, 2015

A New View of Conformity and Its Application to Classification.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

2014
Naive possibilistic classifiers for imprecise or uncertain numerical data.
Fuzzy Sets Syst., 2014

Analogical Classification: Handling Numerical Data.
Proceedings of the Scalable Uncertainty Management - 8th International Conference, 2014

Analogical Classification: A Rule-Based View.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Analogical classification: A new way to deal with examples.
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).
PhD thesis, 2013

Possibilistic classifiers for numerical data.
Soft Comput., 2013

2012
A Possibilistic Rule-Based Classifier.
Proceedings of the Advances on Computational Intelligence, 2012

2011
Possibilistic Classifiers for Uncertain Numerical Data.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

2010
From Bayesian Classifiers to Possibilistic Classifiers for Numerical Data.
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.
Proceedings of the Second International Conference on Advances in Databases, 2010

A possibilistic classification approach to handle continuous data.
Proceedings of the 8th ACS/IEEE International Conference on Computer Systems and Applications, 2010


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