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ORCIDFaouzi Mhamdi
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Conference and Workshop Papers
- 2023
[c24]Hend Amraoui, Faouzi Mhamdi:
Association Rule Mining for Multifactorial Diseases: Survey and Opportunities. MEDES 2023: 165-178- 2021
- [c23]Naoual Guannoni, Faouzi Mhamdi, Mourad Elloumi:
Improved Multiple Part Algorithm (IMPA) to extract multiple solutions for RNA sequence classification problem. SEKE 2021: 346-351 - 2019
- [c22]Hend Amraoui, Faouzi Mhamdi, Mourad Elloumi:
Fast Bat Algorithm for Predicting Diabetes Mellitus Using Association Rule Mining. ADMA 2019: 591-604 - [c21]Hend Amraoui, Mourad Elloumi, Francesco Marcelloni, Faouzi Mhamdi, Davide Verzotto
:
Theoretical and Practical Analyses in Metagenomic Sequence Classification. DEXA Workshops 2019: 27-37 - [c20]Naoual Guannoni, Faouzi Mhamdi, Emanuel Weitschek, Mourad Elloumi:
Novel algorithm to extract multiple solutions for RNA sequence classification problem. HPCS 2019: 856-863 - [c19]Hend Amraoui, Faouzi Mhamdi, Mourad Elloumi:
Association Rule Mining Using Discrete Jaya Algorithm. HPCS 2019: 872-879 - [c18]Naoual Guannoni, Faouzi Mhamdi, Mourad Elloumi:
Improved Feature Selection Algorithm for Biological Sequences Classification. KSEM (1) 2019: 689-700 - [c17]Hend Amraoui, Faouzi Mhamdi, Mourad Elloumi:
Fast Exhaustive Search Algorithm for Discovering Relevant Association Rules. SEKE 2019: 681-777 - 2017
- [c16]Ghada Bouali, Faouzi Mhamdi:
BicMIN : Développement et validation d'une nouvelle méthode de classification croisée des séquences de protéines. CORIA 2017: 405-414 - [c15]Faouzi Mhamdi, Sourour Marai:
Biclustering of Biological Sequences. DEXA Workshops 2017: 74-78 - 2016
- [c14]Faouzi Mhamdi, Marouen Hacheni, Imen Harzli:
New Multi-class Clustering Approach for Protein Sequences. DEXA Workshops 2016: 57-60 - 2015
- [c13]Faouzi Mhamdi, Achref Ouerfelli:
New Clustering Approach for Protein Sequences. DEXA Workshops 2015: 43-47 - 2014
- [c12]Mehdi Kchouk, Faouzi Mhamdi:
New Online Hierarchical Feature Extraction Algorithm for Classification of Protein. DEXA Workshops 2014: 10-14 - [c11]Hanen Mhamdi, Faouzi Mhamdi:
Feature Selection Methods on Biological Knowledge Discovery and Data Mining: A Survey. DEXA Workshops 2014: 46-50 - [c10]Salma Aouled El Haj Mohamed, Faouzi Mhamdi:
New Method Combining Feature Weighting and Feature Selection for Protein Classification. DEXA Workshops 2014: 51-55 - [c9]Hanen Hosni, Faouzi Mhamdi:
A Filter Correlation Method for Feature Selection. DEXA Workshops 2014: 59-63 - 2013
- [c8]Faouzi Mhamdi, Hanen Mhamdi:
A new algorithm relief hybrid (HRelief) for biological motifs selection. BIBE 2013: 1-5 - 2008
- [c7]Faouzi Mhamdi, Mourad Elloumi:
A new survey on knowledge discovery and data mining. RCIS 2008: 427-432 - 2006
- [c6]Mondher Maddouri, Faouzi Mhamdi:
Construction d'attributs pour l'extraction de connaissances à partir de séquences biologiques. AAFD 2006: 107-134 - [c5]Walid Erray, Faouzi Mhamdi:
FaBR-CL : méthode de classification croisée de protéines. EGC 2006: 729-730 - [c4]Ricco Rakotomalala, Faouzi Mhamdi:
Improved Singular Value Decomposition for Supervised Learning in a High Dimensional Dataset. PRIS 2006: 38-47 - [c3]Faouzi Mhamdi, Ricco Rakotomalala, Mourad Elloumi:
A Hierarchical n-Grams Extraction Approach for Classification Problem. SITIS 2006: 211-222 - 2005
- [c2]Ricco Rakotomalala, Faouzi Mhamdi, Mourad Elloumi:
Hybrid Feature Ranking for Proteins Classification. ADMA 2005: 610-617 - [c1]Faouzi Mhamdi, Ricco Rakotomalala, Mourad Elloumi:
Feature Ranking for Protein Classification. CORES 2005: 611-617
Coauthor Index
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