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2020 – today
- 2024
[j9]Myriam Bounhas, Bilel Elayeb
, Amina Chouigui, Amir Hussain, Erik Cambria:
Arabic text classification based on analogical proportions. Expert Syst. J. Knowl. Eng. 41(10) (2024)- [j8]Myriam Bounhas, Henri Prade:
Revisiting analogical proportions and analogical inference. Int. J. Approx. Reason. 171: 109202 (2024) - 2023
- [j7]Myriam Bounhas, Henri Prade:
Analogy-based classifiers: An improved algorithm exploiting competent data pairs. Int. J. Approx. Reason. 158: 108923 (2023) - [c20]Bilel Elayeb, Amina Chouigui, Myriam Bounhas:
Analogical Text Mining: Application to Arabic Text Summarization and Classification. AICCSA 2023: 1-8 - 2022
- [c19]Myriam Bounhas, Henri Prade:
Logical Proportions-Related Classification Methods Beyond Analogy. SUM 2022: 219-234 - [i1]Myriam Bounhas, Henri Prade, Gilles Richard:
Some recent advances in reasoning based on analogical proportions. CoRR abs/2212.11717 (2022) - 2021
- [b2]Myriam Bounhas:
Logical Proportions for Classification and Preference Learning. (Logische Proportionen für Klassifikation und Präferenzlernen / Proportions Logiques pour la Classification et l'Apprentissage de Préférences). Tunis University, Tunisia, 2021 - [c18]Bilel Elayeb, Myriam Bounhas:
Mono- and Cross-Language Information Retrieval based on Analogical Proportions: A Review. ICICT (3) 2021: 629-653 - 2020
- [j6]Bilel Elayeb, Amina Chouigui, Myriam Bounhas, Oussama Ben Khiroun:
Automatic Arabic Text Summarization Using Analogical Proportions. Cogn. Comput. 12(5): 1043-1069 (2020) - [c17]Marouane Essid, Myriam Bounhas, Henri Prade:
Continuous Analogical Proportions-Based Classifier. IPMU (1) 2020: 541-555
2010 – 2019
- 2019
- [c16]Myriam Bounhas, Bilel Elayeb:
Analogy-based Matching Model for Domain-specific Information Retrieval. ICAART (2) 2019: 496-505 - [c15]Myriam Bounhas, Henri Prade:
An Analogical Interpolation Method for Enlarging a Training Dataset. SUM 2019: 136-152 - [c14]Myriam Bounhas, Marc Pirlot, Henri Prade, Olivier Sobrie:
Comparison of Analogy-Based Methods for Predicting Preferences. SUM 2019: 339-354 - 2018
- [j5]Myriam Bounhas, Henri Prade, Gilles Richard:
Oddness-based classification: A new way of exploiting neighbors. Int. J. Intell. Syst. 33(12): 2379-2401 (2018) - [c13]Myriam Bounhas, Marc Pirlot, Henri Prade:
Predicting Preferences by Means of Analogical Proportions. ICCBR 2018: 515-531 - 2017
- [j4]Myriam Bounhas, Henri Prade, Gilles Richard:
Oddness/evenness-based classifiers for Boolean or numerical data. Int. J. Approx. Reason. 82: 81-100 (2017) - [j3]Myriam Bounhas, Henri Prade, Gilles Richard:
Analogy-based classifiers for nominal or numerical data. Int. J. Approx. Reason. 91: 36-55 (2017) - 2016
- [c12]Myriam Bounhas, Henri Prade, Gilles Richard:
Not Being at Odds with a Class: A New Way of Exploiting Neighbors for Classification. ECAI 2016: 1662-1663 - 2015
- [c11]Myriam Bounhas, Henri Prade, Gilles Richard:
A New View of Conformity and Its Application to Classification. ECSQARU 2015: 221-232 - [c10]Myriam Bounhas, Henri Prade, Gilles Richard:
Oddness-Based Classifiers for Boolean or Numerical Data. KI 2015: 32-44 - [c9]Myriam Bounhas, Henri Prade, Gilles Richard:
Evenness-Based Reasoning with Logical Proportions Applied to Classification. SUM 2015: 139-154 - 2014
- [j2]Myriam Bounhas, Mohammad Ghasemi Hamed, Henri Prade, Mathieu Serrurier, Khaled Mellouli:
Naive possibilistic classifiers for imprecise or uncertain numerical data. Fuzzy Sets Syst. 239: 137-156 (2014) - [c8]Myriam Bounhas, Henri Prade, Gilles Richard:
Analogical classification: A new way to deal with examples. ECAI 2014: 135-140 - [c7]Myriam Bounhas, Henri Prade, Gilles Richard:
Analogical Classification: A Rule-Based View. IPMU (2) 2014: 485-495 - [c6]Myriam Bounhas, Henri Prade, Gilles Richard:
Analogical Classification: Handling Numerical Data. SUM 2014: 66-79 - 2013
- [b1]Myriam Bounhas:
Possibilistic Classifiers for Certain/Uncertain Numerical Data. (Classifieurs Possibilistes des données Numériques Certaines et Incertaines). Tunis University, Tunisia, 2013 - [j1]Myriam Bounhas, Khaled Mellouli, Henri Prade, Mathieu Serrurier:
Possibilistic classifiers for numerical data. Soft Comput. 17(5): 733-751 (2013) - 2012
- [c5]Myriam Bounhas, Henri Prade, Mathieu Serrurier, Khaled Mellouli:
A Possibilistic Rule-Based Classifier. IPMU (1) 2012: 21-31 - 2011
- [c4]Myriam Bounhas, Henri Prade, Mathieu Serrurier, Khaled Mellouli:
Possibilistic Classifiers for Uncertain Numerical Data. ECSQARU 2011: 434-446 - 2010
- [c3]Myriam Bounhas, Khaled Mellouli:
A possibilistic classification approach to handle continuous data. AICCSA 2010: 1-8 - [c2]Myriam Bounhas, Khaled Mellouli:
Using Class-Based Reasoning to Improve the Accuracy of Symbolic Rules in a Hybrid Possibilistic Approach. DBKDA 2010: 222-228 - [c1]Myriam Bounhas, Khaled Mellouli, Henri Prade, Mathieu Serrurier:
From Bayesian Classifiers to Possibilistic Classifiers for Numerical Data. SUM 2010: 112-125
Coauthor Index
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