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Publication search results
found 48 matches
- 2022
- 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: 334-347 (2022) - 2021
- 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): 38-62 (2021) - 2020
- Nida Meddouri, Mondher Maddouri:
Efficient Closure Operators for FCA-Based Classification. Int. J. Artif. Intell. Mach. Learn. 10(2): 79-98 (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): 629-642 (2020) - Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo:
Un algorithme distribué pour le clustering de grands graphes. EGC 2020: 349-356 - Hayfa Azibi, Nida Meddouri, Mondher Maddouri:
Catégorisation des méthodes de classification fondées sur l'Analyse de Concepts Formels. IC 2020: 159-162 - Hayfa Azibi, Nida Meddouri, Mondher Maddouri:
Survey on Formal Concept Analysis Based Supervised Classification Techniques. MLIS 2020: 21-29 - 2019
- Rabie Saidi, Wajdi Dhifli, Mondher Maddouri, Engelbert Mephu Nguifo:
Efficiently Mining Recurrent Substructures from Protein Three-Dimensional Structure Graphs. J. Comput. Biol. 26(6): 561-571 (2019) - Rawia Fray, Nida Meddouri, Mondher Maddouri:
Cloud Implementation of Classier Nominal Concepts using DistributedWekaSpark. ICFCA (Supplements) 2019: 125-136 - Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri, Engelbert Mephu Nguifo:
A Structure Based Multiple Instance Learning Approach for Bacterial Ionizing Radiation Resistance Prediction. KES 2019: 342-351 - 2018
- Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo:
An experimental survey on big data frameworks. Future Gener. Comput. Syst. 86: 546-564 (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: 10-18 - Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo:
A Comparative Study on Streaming Frameworks for Big Data. LADaS@VLDB 2018: 17-24 - 2017
- Marwa Trabelsi, Nida Meddouri, Mondher Maddouri:
A New Feature Selection Method for Nominal Classifier based on Formal Concept Analysis. KES 2017: 186-194 - 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): 10-20 (2016) - Marwa Trabelsi, Nida Meddouri, Mondher Maddouri:
New Taxonomy of Classification Methods Based on Formal Concepts Analysis. FCA4AI@ECAI 2016: 113-120 - Manel Zoghlami, Sabeur Aridhi, Haïtham Sghaier, Mondher Maddouri, Engelbert Mephu Nguifo:
A multiple instance learning approach for sequence data with across bag dependencies. CoRR abs/1602.00163 (2016) - 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: 213-223 (2015) - Sabeur Aridhi, Laurent d'Orazio, Mondher Maddouri, Engelbert Mephu Nguifo:
Cost Models for Distributed Pattern Mining in the Cloud. TrustCom/BigDataSE/ISPA (2) 2015: 112-119 - 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): 711-737 (2014) - Nida Meddouri, Hela Khoufi, Mondher Maddouri:
Parallel Learning and Classification for Rules based on Formal Concepts. KES 2014: 358-367 - 2013
- 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: 18-24 - 2012
- Rabie Saidi, Sabeur Aridhi, Engelbert Mephu Nguifo, Mondher Maddouri:
Feature extraction in protein sequences classification: a new stability measure. BCB 2012: 683-689 - Nida Meddouri, Hela Khoufi, Mondher Maddouri:
Diversity Analysis on Boosting Nominal Concepts. PAKDD (1) 2012: 306-317 - 2011
- Nida Meddouri, Hela Khoufi, Mondher Maddouri:
Vers un critère d'arrêt de Boosting basé sur la diversité des classifieurs. INFORSID 2011: 111-126 - 2010
- Rabie Saidi, Mondher Maddouri, Engelbert Mephu Nguifo:
Protein sequences classification by means of feature extraction with substitution matrices. BMC Bioinform. 11: 175 (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: 621-622 - Nida Meddouri, Mondher Maddouri:
Apprentissage supervisé adaptatif de Concepts Formels à partir des données nominales. EGC 2010: 649-650 - 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: 703-704 - Nida Meddouri, Mondher Maddouri:
Adaptive Learning of Nominal Concepts for Supervised Classification. KES (1) 2010: 121-130
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