Mondher Maddouri

49 papers B 3C 2Journal 16Unranked 27
YearRankTypeTitle / Venue / Authors
2026 — conf
Formal Concept Analysis as a Biclustering Approach for Champion Drafting in eSports.
ICAART (1)
Anthony Feudjio, Malika Charrad, Mondher Maddouri
2022 J jnl
A distributed and incremental algorithm for large-scale graph clustering.
Future Gener. Comput. Syst.
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
2021 J jnl
DFC: A Performant Dagging Approach of Classification Based on Formal Concept.
Int. J. Artif. Intell. Mach. Learn.
Nida Meddouri, Hela Khoufi, Mondher Maddouri
2020 — conf
Catégorisation des méthodes de classification fondées sur l'Analyse de Concepts Formels.
IC
Hayfa Azibi, Nida Meddouri, Mondher Maddouri
2020 J jnl
Efficient Closure Operators for FCA-Based Classification.
Int. J. Artif. Intell. Mach. Learn.
Nida Meddouri, Mondher Maddouri
2020 J jnl
Multiple instance learning for sequence data with across bag dependencies.
Int. J. Mach. Learn. Cybern.
Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri, Engelbert Mephu Nguifo
2020 — conf
Survey on Formal Concept Analysis Based Supervised Classification Techniques.
MLIS
Hayfa Azibi, Nida Meddouri, Mondher Maddouri
2020 — conf
Un algorithme distribué pour le clustering de grands graphes.
EGC
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
2019 B conf
A Structure Based Multiple Instance Learning Approach for Bacterial Ionizing Radiation Resistance Prediction.
KES
Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri, Engelbert Mephu Nguifo
2019 — conf
Cloud Implementation of Classier Nominal Concepts using DistributedWekaSpark.
ICFCA (Supplements)
Rawia Fray, Nida Meddouri, Mondher Maddouri
2019 J jnl
Efficiently Mining Recurrent Substructures from Protein Three-Dimensional Structure Graphs.
J. Comput. Biol.
Rabie Saidi, Wajdi Dhifli, Mondher Maddouri, Engelbert Mephu Nguifo
2018 — conf
A Comparative Study on Streaming Frameworks for Big Data.
LADaS@VLDB
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
2018 — conf
ABClass : Une approche d'apprentissage multi-instances pour les séquences(ABClass: A multiple instance learning approach for sequence data).
CNIA+RJCIA
Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri, Engelbert Mephu Nguifo
2018 J jnl
An experimental survey on big data frameworks.
Future Gener. Comput. Syst.
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
2017 B conf
A New Feature Selection Method for Nominal Classifier based on Formal Concept Analysis.
KES
Marwa Trabelsi, Nida Meddouri, Mondher Maddouri
2016 J jnl
A multiple instance learning approach for sequence data with across bag dependencies.
CoRR
Manel Zoghlami, Sabeur Aridhi, Haïtham Sghaier, Mondher Maddouri, Engelbert Mephu Nguifo
2016 — conf
New Taxonomy of Classification Methods Based on Formal Concepts Analysis.
FCA4AI@ECAI
Marwa Trabelsi, Nida Meddouri, Mondher Maddouri
2016 J jnl
Prediction of Ionizing Radiation Resistance in Bacteria Using a Multiple Instance Learning Model.
J. Comput. Biol.
Sabeur Aridhi, Haïtham Sghaier, Manel Zoghlami, Mondher Maddouri, Engelbert Mephu Nguifo
2015 — conf
Cost Models for Distributed Pattern Mining in the Cloud.
TrustCom/BigDataSE/ISPA (2)
Sabeur Aridhi, Laurent d'Orazio, Mondher Maddouri, Engelbert Mephu Nguifo
2015 J jnl
Density-based data partitioning strategy to approximate large-scale subgraph mining.
Inf. Syst.
Sabeur Aridhi, Laurent d'Orazio, Mondher Maddouri, Engelbert Mephu Nguifo
2014 B conf
Parallel Learning and Classification for Rules based on Formal Concepts.
KES
Nida Meddouri, Hela Khoufi, Mondher Maddouri
2014 J jnl
Un partitionnement basé sur la densité de graphe pour approcher la fouille distribuée de sous-graphes fréquents.
Tech. Sci. Informatiques
Sabeur Aridhi, Laurent d'Orazio, Mondher Maddouri, Engelbert Mephu Nguifo
2013 — conf
Computational phenotype prediction of ionizing-radiation-resistant bacteria with a multiple-instance learning model.
BIOKDD
Sabeur Aridhi, Mondher Maddouri, Haïtham Sghaier, Engelbert Mephu Nguifo
2012 — conf
Diversity Analysis on Boosting Nominal Concepts.
PAKDD (1)
Nida Meddouri, Hela Khoufi, Mondher Maddouri
2012 — conf
Feature extraction in protein sequences classification: a new stability measure.
BCB
Rabie Saidi, Sabeur Aridhi, Engelbert Mephu Nguifo, Mondher Maddouri
2011 — conf
Vers un critère d'arrêt de Boosting basé sur la diversité des classifieurs.
INFORSID
Nida Meddouri, Hela Khoufi, Mondher Maddouri
2010 — conf
Adaptive Learning of Nominal Concepts for Supervised Classification.
KES (1)
Nida Meddouri, Mondher Maddouri
2010 — conf
Apprentissage supervisé adaptatif de Concepts Formels à partir des données nominales.
EGC
Nida Meddouri, Mondher Maddouri
2010 — conf
Développement de méthodes de classification basées sur l'analyse de concepts formels sous la plateforme WEKA.
EGC
Besma Khalfi, Rahma Cherif, Nida Meddouri, Mondher Maddouri
2010 — conf
Etude de stabilité de méthodes d'extraction de motifs à partir des séquences protéiques.
EGC
Rabie Saidi, Sabeur Aridhi, Mondher Maddouri, Engelbert Mephu Nguifo
2010 J jnl
Protein sequences classification by means of feature extraction with substitution matrices.
BMC Bioinform.
Rabie Saidi, Mondher Maddouri, Engelbert Mephu Nguifo
2009 — ch.
A Hybrid Approach of Boosting Against Noisy Data.
Mining Complex Data
Emna Bahri, Stéphane Lallich, Nicolas Nicoloyannis, Mondher Maddouri
2009 C conf
Boosting Formal Concepts to Discover Classification Rules.
IEA/AIE
Nida Meddouri, Mondher Maddouri
2009 — conf
Comparing graph-based representations of protein for mining purposes.
KDD Workshop on Statistical and Relational Learning in Bioinformatics
Rabie Saidi, Mondher Maddouri, Engelbert Mephu Nguifo
2009 — conf
Générer des règles de classification par dopage de concepts formels.
EGC
Nida Meddouri, Mondher Maddouri
2008 — conf
Une nouvelle approche du Boosting face aux données réelles.
EGC
Emna Bahri, Mondher Maddouri
2007 — conf
Biological Sequences Encoding for Supervised Classification.
BIRD
Rabie Saidi, Mondher Maddouri, Engelbert Mephu Nguifo
2007 — conf
Classification supervisée de séquences biologiques basée sur les motifs et les matrices de substitution.
EGC
Rabie Saidi, Mondher Maddouri, Engelbert Mephu Nguifo
2007 — conf
Improving Boosting by Exploiting Former Assumptions.
MCD
Emna Bahri, Nicolas Nicoloyannis, Mondher Maddouri
2007 — conf
On Semantic Properties of Interestingness Measures for Extracting Rules from Data.
ICANNGA (1)
Mondher Maddouri, Jamil Gammoudi
2006 — conf
Construction d'attributs pour l'extraction de connaissances à partir de séquences biologiques.
AAFD
Mondher Maddouri, Faouzi Mhamdi
2006 — conf
On Statistical Measures for Selecting Pertinent Formal Concepts to Discover Production Rules from Data.
ICDM Workshops
Mondher Maddouri, Fatma Kaâbi
2005 — conf
A Formal Concept Analysis Approach to Discover Association Rules from Data.
CLA
Mondher Maddouri
2005 J jnl
New voting strategies designed for the classification of nucleic sequences.
Knowl. Inf. Syst.
Mourad Elloumi, Mondher Maddouri
2004 J jnl
Encoding of Primary Structures of Biological Macromolecules Within a Data Mining Perspective.
J. Comput. Sci. Technol.
Mondher Maddouri, Mourad Elloumi
2004 J jnl
Towards a machine learning approach based on incremental concept formation.
Intell. Data Anal.
Mondher Maddouri
2002 J jnl
A data mining approach based on machine learning techniques to classify biological sequences.
Knowl. Based Syst.
Mondher Maddouri, Mourad Elloumi
1998 J jnl
An Incrementa Learning System for Imprecise and Uncertain Knowledge Discovery.
Inf. Sci.
Mondher Maddouri, Samir Elloumi, Ali Jaoua
1996 C conf
Incremental Rule Production: Towards a Uniform Approach for Knowledge Organization.
IEA/AIE
Mondher Maddouri, Ali Jaoua