Mondher Maddouri

Publication Activity (10 Years)

Years Active: 1996-2022
Publications (10 Years): 19

Top Topics

Ionizing Radiation

Subgraph Mining

Multiple Instance

Top Venues

Int. J. Artif. Intell. Mach. Learn.

J. Comput. Biol.

Future Gener. Comput. Syst.

Publications

Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
A distributed and incremental algorithm for large-scale graph clustering. Future Gener. Comput. Syst. 134 (2022)
Nida Meddouri, Hela Khoufi, Mondher Maddouri
DFC: A Performant Dagging Approach of Classification Based on Formal Concept. Int. J. Artif. Intell. Mach. Learn. 11 (2) (2021)
Hayfa Azibi, Nida Meddouri, Mondher Maddouri
Catégorisation des méthodes de classification fondées sur l'Analyse de Concepts Formels. IC (2020)
Hayfa Azibi, Nida Meddouri, Mondher Maddouri
Survey on Formal Concept Analysis Based Supervised Classification Techniques. MLIS (2020)
Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri, Engelbert Mephu Nguifo
Multiple instance learning for sequence data with across bag dependencies. Int. J. Mach. Learn. Cybern. 11 (3) (2020)
Nida Meddouri, Mondher Maddouri
Efficient Closure Operators for FCA-Based Classification. Int. J. Artif. Intell. Mach. Learn. 10 (2) (2020)
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
Un algorithme distribué pour le clustering de grands graphes. EGC (2020)
Rabie Saidi, Wajdi Dhifli, Mondher Maddouri, Engelbert Mephu Nguifo
Efficiently Mining Recurrent Substructures from Protein Three-Dimensional Structure Graphs. J. Comput. Biol. 26 (6) (2019)
Rawia Fray, Nida Meddouri, Mondher Maddouri
Cloud Implementation of Classier Nominal Concepts using DistributedWekaSpark. ICFCA (Supplements) (2019)
Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri, Engelbert Mephu Nguifo
A Structure Based Multiple Instance Learning Approach for Bacterial Ionizing Radiation Resistance Prediction. KES (2019)
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
An experimental survey on big data frameworks. Future Gener. Comput. Syst. 86 (2018)
Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri, Engelbert Mephu Nguifo
ABClass : Une approche d'apprentissage multi-instances pour les séquences(ABClass: A multiple instance learning approach for sequence data). CNIA+RJCIA (2018)
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
A Comparative Study on Streaming Frameworks for Big Data. LADaS@VLDB (2018)
Marwa Trabelsi, Nida Meddouri, Mondher Maddouri
A New Feature Selection Method for Nominal Classifier based on Formal Concept Analysis. KES (2017)
Manel Zoghlami, Sabeur Aridhi, Haïtham Sghaier, Mondher Maddouri, Engelbert Mephu Nguifo
A multiple instance learning approach for sequence data with across bag dependencies. CoRR (2016)
Sabeur Aridhi, Haïtham Sghaier, Manel Zoghlami, Mondher Maddouri, Engelbert Mephu Nguifo
Prediction of Ionizing Radiation Resistance in Bacteria Using a Multiple Instance Learning Model. J. Comput. Biol. 23 (1) (2016)
Marwa Trabelsi, Nida Meddouri, Mondher Maddouri
New Taxonomy of Classification Methods Based on Formal Concepts Analysis. FCA4AI@ECAI (2016)
Sabeur Aridhi, Laurent d'Orazio, Mondher Maddouri, Engelbert Mephu Nguifo
Cost Models for Distributed Pattern Mining in the Cloud. TrustCom/BigDataSE/ISPA (2) (2015)
Sabeur Aridhi, Laurent d'Orazio, Mondher Maddouri, Engelbert Mephu Nguifo
Density-based data partitioning strategy to approximate large-scale subgraph mining. Inf. Syst. 48 (2015)
Nida Meddouri, Hela Khoufi, Mondher Maddouri
Parallel Learning and Classification for Rules based on Formal Concepts. KES (2014)
Sabeur Aridhi, Laurent d'Orazio, Mondher Maddouri, Engelbert Mephu Nguifo
Un partitionnement basé sur la densité de graphe pour approcher la fouille distribuée de sous-graphes fréquents. Tech. Sci. Informatiques 33 (9-10) (2014)
Sabeur Aridhi, Mondher Maddouri, Haïtham Sghaier, Engelbert Mephu Nguifo
Computational phenotype prediction of ionizing-radiation-resistant bacteria with a multiple-instance learning model. BIOKDD (2013)
Rabie Saidi, Sabeur Aridhi, Engelbert Mephu Nguifo, Mondher Maddouri
Feature extraction in protein sequences classification: a new stability measure. BCB (2012)
Nida Meddouri, Hela Khoufi, Mondher Maddouri
Diversity Analysis on Boosting Nominal Concepts. PAKDD (1) (2012)
Nida Meddouri, Hela Khoufi, Mondher Maddouri
Vers un critère d'arrêt de Boosting basé sur la diversité des classifieurs. INFORSID (2011)
Nida Meddouri, Mondher Maddouri
Adaptive Learning of Nominal Concepts for Supervised Classification. KES (1) (2010)
Rabie Saidi, Sabeur Aridhi, Mondher Maddouri, Engelbert Mephu Nguifo
Etude de stabilité de méthodes d'extraction de motifs à partir des séquences protéiques. EGC (2010)
Besma Khalfi, Rahma Cherif, Nida Meddouri, Mondher Maddouri
Développement de méthodes de classification basées sur l'analyse de concepts formels sous la plateforme WEKA. EGC (2010)
Nida Meddouri, Mondher Maddouri
Apprentissage supervisé adaptatif de Concepts Formels à partir des données nominales. EGC (2010)
Rabie Saidi, Mondher Maddouri, Engelbert Mephu Nguifo
Protein sequences classification by means of feature extraction with substitution matrices. BMC Bioinform. 11 (2010)
Nida Meddouri, Mondher Maddouri
Boosting Formal Concepts to Discover Classification Rules. IEA/AIE (2009)
Nida Meddouri, Mondher Maddouri
Générer des règles de classification par dopage de concepts formels. EGC (2009)
Rabie Saidi, Mondher Maddouri, Engelbert Mephu Nguifo
Comparing graph-based representations of protein for mining purposes. KDD Workshop on Statistical and Relational Learning in Bioinformatics (2009)
Emna Bahri, Mondher Maddouri
Une nouvelle approche du Boosting face aux données réelles. EGC (2008)
Rabie Saidi, Mondher Maddouri, Engelbert Mephu Nguifo
Classification supervisée de séquences biologiques basée sur les motifs et les matrices de substitution. EGC (2007)
Mondher Maddouri, Jamil Gammoudi
On Semantic Properties of Interestingness Measures for Extracting Rules from Data. ICANNGA (1) (2007)
Rabie Saidi, Mondher Maddouri, Engelbert Mephu Nguifo
Biological Sequences Encoding for Supervised Classification. BIRD (2007)
Emna Bahri, Nicolas Nicoloyannis, Mondher Maddouri
Improving Boosting by Exploiting Former Assumptions. MCD (2007)
Mondher Maddouri, Fatma Kaâbi
On Statistical Measures for Selecting Pertinent Formal Concepts to Discover Production Rules from Data. ICDM Workshops (2006)
Mondher Maddouri, Faouzi Mhamdi
Construction d'attributs pour l'extraction de connaissances à partir de séquences biologiques. AAFD (2006)
Mondher Maddouri
A Formal Concept Analysis Approach to Discover Association Rules from Data. CLA (2005)
Mourad Elloumi, Mondher Maddouri
New voting strategies designed for the classification of nucleic sequences. Knowl. Inf. Syst. 8 (1) (2005)
Mondher Maddouri, Mourad Elloumi
Encoding of Primary Structures of Biological Macromolecules Within a Data Mining Perspective. J. Comput. Sci. Technol. 19 (1) (2004)
Mondher Maddouri
Towards a machine learning approach based on incremental concept formation. Intell. Data Anal. 8 (3) (2004)
Mondher Maddouri, Mourad Elloumi
A data mining approach based on machine learning techniques to classify biological sequences. Knowl. Based Syst. 15 (4) (2002)
Mondher Maddouri, Samir Elloumi, Ali Jaoua
An Incrementa Learning System for Imprecise and Uncertain Knowledge Discovery. Inf. Sci. 109 (1-4) (1998)
Mondher Maddouri, Ali Jaoua
Incremental Rule Production: Towards a Uniform Approach for Knowledge Organization. IEA/AIE (1996)