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ORCIDEngelbert Mephu Nguifo
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- affiliation: University Clermont Auvergne, Clermont-Ferrand, France
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2020 – today
- 2024
[j53]Michael Franklin Mbouopda
, Engelbert Mephu Nguifo:
Scalable and accurate subsequence transform for time series classification. Pattern Recognit. 147: 110121 (2024)- 2023
- [j52]Jerry Lonlac, Engelbert Mephu Nguifo:
Top-k Learned Clauses for Modern SAT Solvers. Int. J. Artif. Intell. Tools 32(1): 2350003:1-2350003:41 (2023) - [j51]Michaël Chirmeni Boujike, Jerry Lonlac, Norbert Tsopzé, Engelbert Mephu Nguifo, Laure Pauline Fotso:
GRAPGT: GRAdual patterns with gradualness threshold. Int. J. Gen. Syst. 52(5): 525-545 (2023) - [c108]Jerry Lonlac, Imen Ouled Dlala, Saïd Jabbour, Engelbert Mephu Nguifo, Badran Raddaoui, Lakhdar Sais:
Extracting Frequent Gradual Patterns Based on SAT. DATA 2023: 136-143 - [c107]Sk. Imran Hossain, Jocelyn de Goër de Herve, Yann Frendo, Delphine Martineau, Isabelle Lebert, Olivier Lesens, Engelbert Mephu Nguifo:
EMScan : une application mobile pour l'assistance au diagnostic des formes précoces de la maladie de Lyme. EGC 2023: 613-620 - [c106]Rim El Cheikh, Hélène Tran, Issam Falih, Engelbert Mephu Nguifo:
Étude comparative de méthodes de reconnaissance des émotions à partir d'expressions faciales. EGC 2023: 653-654 - [c105]Khouloud Ammar, Wissem Inoubli, Sami Zghal, Engelbert Mephu Nguifo:
Graph Representation Learning for Recommendation Systems: A Short Review. ICIKS 2023: 33-48 - [c104]Khairi Abidi, Wissem Inoubli, Engelbert Mephu Nguifo:
DGCN: Learning Graph Representations Via Dense Connections. KES 2023: 951-960 - [c103]Khouloud Ammar, Wissem Inoubli, Sami Zghal, Amel Borji, Engelbert Mephu Nguifo:
Trans-Trip: Translation-based embedding with Triplets for Heterogeneous Graphs. KES 2023: 1104-1113 - 2022
- [j50]Sk. Imran Hossain, Jocelyn de Goër de Herve, Md Shahriar Hassan, Delphine Martineau, Evelina Petrosyan, Violaine Corbin, Jean Beytout, Isabelle Lebert, Jonas Durand, Irene Carravieri, Annick Brun-Jacob, Pascale Frey-Klett, Elisabeth Baux, Céline Cazorla, Carole Eldin, Yves Hansmann, Solene Patrat-Delon, Thierry Prazuck, Alice Raffetin, Pierre Tattevin, Gwenaël Vourc'h, Olivier Lesens, Engelbert Mephu Nguifo:
Exploring convolutional neural networks with transfer learning for diagnosing Lyme disease from skin lesion images. Comput. Methods Programs Biomed. 215: 106624 (2022) - [j49]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) - [j48]Marcelo B. A. Veras, Bishnu Sarker, Sabeur Aridhi, João P. P. Gomes, José A. F. de Macêdo, Engelbert Mephu Nguifo, Marie-Dominique Devignes, Malika Smaïl-Tabbone:
On the design of a similarity function for sparse binary data with application on protein function annotation. Knowl. Based Syst. 238: 107863 (2022) - [c102]Hélène Tran, Lisa Brelet, Issam Falih, Xavier Goblet, Engelbert Mephu Nguifo:
L'ambiguïté dans la représentation des émotions : état de l'art des bases de données multimodales. EGC 2022: 87-98 - [c101]Michaël Chirmeni Boujike, Norbert Tsopzé, Jerry Lonlac, Rosette Nganmeni Njamnou, Engelbert Mephu Nguifo, Laure Pauline Fotso:
Une approche basée sur les motifs graduels pour la recommandation dans un contexte de consommation répétée. EGC 2022: 265-272 - [c100]Anne Marthe Sophie Ngo Bibinbe, Michael Franklin Mbouopda, Gertrude Raissa Mbiadou Saleu, Engelbert Mephu Nguifo:
Évaluation comparative de méthodes non supervisées pour la détection de points anormaux dans les flux de données. EGC 2022: 493-494 - [c99]Anne Marthe Sophie Ngo Bibinbe, Abdoul Jalil Djiberou Mahamadou, Michael Franklin Mbouopda, Engelbert Mephu Nguifo:
DragStream: An Anomaly And Concept Drift Detector In Univariate Data Streams. ICDM (Workshops) 2022: 842-851 - [c98]Anne Marthe Sophie Ngo Bibinbe, Michael Franklin Mbouopda, Gertrude Raissa Mbiadou Saleu, Engelbert Mephu Nguifo:
A survey on unsupervised learning algorithms for detecting abnormal points in streaming data. IJCNN 2022: 1-8 - [i22]Sk. Imran Hossain, Jocelyn de Goër de Herve, David Abrial, Richard Emillion, Isabelle Lebert, Yann Frendo, Delphine Martineau, Olivier Lesens, Engelbert Mephu Nguifo:
Expert Opinion Elicitation for Assisting Deep Learning based Lyme Disease Classifier with Patient Data. CoRR abs/2208.14384 (2022) - [i21]Michael Franklin Mbouopda, Emille E. O. Ishida, Engelbert Mephu Nguifo, Emmanuel Gangler:
Explainable classification of astronomical uncertain time series. CoRR abs/2210.00869 (2022) - [i20]Rim El Cheikh, Hélène Tran, Issam Falih, Engelbert Mephu Nguifo:
A comparative study of emotion recognition methods using facial expressions. CoRR abs/2212.03102 (2022) - 2021
- [c97]Michaël Chirmeni Boujike, Jerry Lonlac, Norbert Tsopzé, Engelbert Mephu Nguifo:
GPoID : Extraction de Motifs Graduels pour les Bases de Données Imprécises. EGC 2021: 237-244 - [c96]Karima Ennaoui, Mathieu Faivre, Md Shahriar Hassan, Christophe Rey, Lauren Dargent, Hervé Girod, Engelbert Mephu Nguifo:
Ontology-based data integration in a distributed context of coalition air missions. EGC 2021: 445-452 - [c95]Abdoul Jalil Djiberou Mahamadou, Violaine Antoine, Engelbert Mephu Nguifo, Sylvain Moreno:
Apport de l'entropie pour les c-moyennes floues sur des données catégorielles. EGC 2021: 519-520 - [i19]Michael Franklin Mbouopda, Engelbert Mephu Nguifo:
Uncertain Time Series Classification With Shapelet Transform. CoRR abs/2102.02090 (2021) - [i18]Sk. Imran Hossain, Jocelyn de Goër de Herve, Md Shahriar Hassan, Delphine Martineau, Evelina Petrosyan, Violaine Corbain, Jean Beytout, Isabelle Lebert, Elisabeth Baux, Céline Cazorla, Carole Eldin, Yves Hansmann, Solene Patrat-Delon, Thierry Prazuck, Alice Raffetin, Pierre Tattevin, Gwenaël Vourc'h, Olivier Lesens, Engelbert Mephu Nguifo:
Benchmarking convolutional neural networks for diagnosing Lyme disease from images. CoRR abs/2106.14465 (2021) - 2020
- [j47]Sabeur Aridhi, José A. F. de Macêdo, Engelbert Mephu Nguifo, Karine Zeitouni:
Special issue on "Advances on Large Evolving Graphs". Future Gener. Comput. Syst. 110: 310 (2020) - [j46]Jerry Lonlac, Engelbert Mephu Nguifo:
A novel algorithm for searching frequent gradual patterns from an ordered data set. Intell. Data Anal. 24(5): 1029-1042 (2020) - [j45]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) - [j44]Vanel Steve Siyou Fotso, Engelbert Mephu Nguifo, Philippe Vaslin:
Frobenius correlation based u-shapelets discovery for time series clustering. Pattern Recognit. 103: 107301 (2020) - [c94]Michael Franklin Mbouopda, Engelbert Mephu Nguifo:
Classification des séries temporelles incertaines par transformation Shapelet. CNIA 2020: 14-21 - [c93]Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo:
Un algorithme distribué pour le clustering de grands graphes. EGC 2020: 349-356 - [c92]Abdoul Jalil Djiberou Mahamadou, Violaine Antoine, Engelbert Mephu Nguifo, Sylvain Moreno:
Categorical fuzzy entropy c-means. FUZZ-IEEE 2020: 1-6 - [c91]Michael Franklin Mbouopda, Engelbert Mephu Nguifo:
Uncertain Time Series Classification with Shapelet Transform. ICDM (Workshops) 2020: 259-266 - [i17]Michaël Chirmeni Boujike, Jerry Lonlac, Norbert Tsopzé, Engelbert Mephu Nguifo:
Discovering Frequent Gradual Itemsets with Imprecise Data. CoRR abs/2005.11045 (2020)
2010 – 2019
- 2019
- [j43]Abdoulaye Baniré Diallo, Engelbert Mephu Nguifo, Wajdi Dhifli, Elham Azizi, Sandhya Prabhakaran, Wesley Tansey:
Selected Papers from the Workshop on Computational Biology: Joint with the International Joint Conference on Artificial Intelligence and the International Conference on Machine Learning, 2018. J. Comput. Biol. 26(6): 507-508 (2019) - [j42]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) - [j41]Alexandre Bazin, Didier Debroas, Engelbert Mephu Nguifo:
A De Novo Robust Clustering Approach for Amplicon-Based Sequence Data. J. Comput. Biol. 26(6): 618-624 (2019) - [j40]Vanel Steve Siyou Fotso, Engelbert Mephu Nguifo, Philippe Vaslin:
Grasp heuristic for time series compression with piecewise aggregate approximation. RAIRO Oper. Res. 53(1): 243-259 (2019) - [j39]Warith Eddine Djeddi, Sadok Ben Yahia, Engelbert Mephu Nguifo:
Corrections to "A Novel Computational Approach for Global Alignment for Multiple Biological Networks". IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 700 (2019) - [c90]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 - [i16]Jerry Lonlac, Saïd Jabbour, Engelbert Mephu Nguifo, Lakhdar Saïs, Badran Raddaoui:
Extracting Frequent Gradual Patterns Using Constraints Modeling. CoRR abs/1903.08452 (2019) - [i15]Michael Mbouopda, Engelbert Mephu Nguifo:
Classification des S{é}ries Temporelles Incertaines par Transformation Shapelet. CoRR abs/1912.08919 (2019) - 2018
- [j38]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) - [j37]Lauraine Tiogning Kueti, Norbert Tsopzé, Cezar Mbiethieu, Engelbert Mephu Nguifo, Laure Pauline Fotso:
Using Boolean factors for the construction of an artificial neural networks. Int. J. Gen. Syst. 47(8): 849-868 (2018) - [j36]Warith Eddine Djeddi, Sadok Ben Yahia, Engelbert Mephu Nguifo:
A Novel Computational Approach for Global Alignment for Multiple Biological Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 2060-2066 (2018) - [c89]Jerry Lonlac, Benjamin Négrevergne, Yannick Miras, Aude Beauger, Engelbert Mephu Nguifo:
Fouille de Motifs Graduels Fermés Fréquents Sous Contrainte de la Temporalité. EGC 2018: 383-384 - [c88]Jerry Lonlac, Yannick Miras, Aude Beauger, Vincent Mazenod, Jean-Luc Peiry, Engelbert Mephu Nguifo:
An Approach for Extracting Frequent (Closed) Gradual Patterns Under Temporal Constraint. FUZZ-IEEE 2018: 1-8 - [c87]Vanel Steve Siyou Fotso, Engelbert Mephu Nguifo, Philippe Vaslin:
Découverte des u-shapelets basée sur la corrélation pour le clustering de séries temporelles incertaines(Frobenius correlation based u-shapelets discovery for time series clustering). CNIA+RJCIA 2018: 1-9 - [c86]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 - [c85]Alexandre Bazin, Didier Debroas, Engelbert Mephu Nguifo:
A de novo robust clustering approach for amplicon-based sequence data. CNIA+RJCIA 2018: 113-115 - [c84]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
- [j35]Wajdi Dhifli, Sabeur Aridhi, Engelbert Mephu Nguifo:
MR-SimLab: Scalable subgraph selection with label similarity for big data. Inf. Syst. 69: 155-163 (2017) - [j34]Abdoulaye Baniré Diallo, Engelbert Mephu Nguifo, Mohammed J. Zaki:
Preface: Selected Papers from the Workshop Bioinformatics and Artificial Intelligence Joined with the International Joint Conference on Artificial Intelligence. J. Comput. Biol. 24(8): 733 (2017) - [c83]Jerry Lonlac, Yannick Miras, Aude Beauger, Marie Pailloux, Jean-Luc Peiry, Engelbert Mephu Nguifo:
Une Approche d'Extraction de Motifs Graduels (Fermés) Fréquents Sous Contrainte de la Temporalité. EGC 2017: 213-224 - [c82]Alexandre Bazin, Didier Debroas, Engelbert Mephu Nguifo:
A De Novo Robust Clustering Approach for Amplicon-Based Sequence Data. BAI@IJCAI 2017: 21-25 - [c81]Dmitrii Egurnov, Dmitry I. Ignatov, Engelbert Mephu Nguifo:
On Containment of Triclusters Collections Generated by Quantified Box Operators. ISMIS 2017: 573-579 - [c80]Karim Alami, Radu Ciucanu, Engelbert Mephu Nguifo:
Synthetic Graph Generation from Finely-Tuned Temporal Constraints. TD-LSG@PKDD/ECML 2017: 44-47 - [c79]Wissem Inoubli, Lívia Almada Cruz, Ticiana Linhares Coelho da Silva, Gustavo Coutinho, Lucas Peres, Regis Pires Magalhães, José Antônio Fernandes de Macêdo, Sabeur Aridhi, Engelbert Mephu Nguifo:
A Distributed Framework for Large-Scale Time-Dependent Graph Analysis. TD-LSG@PKDD/ECML 2017: 48-53 - [c78]Karim Alami, Radu Ciucanu, Engelbert Mephu Nguifo:
EGG: A Framework for Generating Evolving RDF Graphs. ISWC (Posters, Demos & Industry Tracks) 2017 - [e4]Wajdi Dhifli, Abdoulaye Baniré Diallo, Engelbert Mephu Nguifo, Mohammed Javeed Zaki:
Proceedings of the Workshop on Advances in Bioinformatics and Artificial Intelligence: Bridging the Gap co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 20, 2017. CEUR Workshop Proceedings 1942, CEUR-WS.org 2017 [contents] - [e3]Sabeur Aridhi, José Antônio Fernandes de Macêdo, Engelbert Mephu Nguifo, Karine Zeitouni:
Proceedings of the Workshop on Large-Scale Time Dependent Graphs (TD-LSG 2017) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), Skopje, Macedonia, September 18, 2017. CEUR Workshop Proceedings 1929, CEUR-WS.org 2017 [contents] - [i14]Jerry Lonlac, Engelbert Mephu Nguifo:
Towards Learned Clauses Database Reduction Strategies Based on Dominance Relationship. CoRR abs/1705.10898 (2017) - 2016
- [j33]Sabeur Aridhi, Engelbert Mephu Nguifo:
Big Graph Mining: Frameworks and Techniques. Big Data Res. 6: 1-10 (2016) - [j32]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) - [c77]Mohamed Nader Jelassi, Sadok Ben Yahia, Engelbert Mephu Nguifo:
PersoRec : un système personnalisé de recommandations pour les folksonomies basé sur les concepts quadratiques. EGC 2016: 487-492 - [c76]Mohamed Nader Jelassi, Sadok Ben Yahia, Engelbert Mephu Nguifo:
Étude du profil utilisateur pour la recommandation dans les folksonomies. IC 2016: 181-192 - [c75]Mohamed Nader Jelassi, Sadok Ben Yahia, Engelbert Mephu Nguifo:
PERSOREC : un système personnalisé de recommandations pour les folksonomies basé sur les concepts quadratiques. IC 2016: 235-238 - [c74]Lauraine Tiogning Kueti, Norbert Tsopzé, Cezar Mbiethieu, Engelbert Mephu Nguifo, Laure Pauline Fotso:
Boolean factors based Artificial Neural Network. IJCNN 2016: 819-825 - [e2]Abdoulaye Baniré Diallo, Engelbert Mephu Nguifo, Mohammed J. Zaki:
Proceedings of the Workshop on Advances in Bioinformatics and Artificial Intelligence: Bridging the Gap co-located with 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New-York, USA, July 11, 2016. CEUR Workshop Proceedings 1718, CEUR-WS.org 2016 [contents] - [i13]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) - [i12]Sabeur Aridhi, Engelbert Mephu Nguifo:
Big Graph Mining: Frameworks and Techniques. CoRR abs/1602.03072 (2016) - 2015
- [j31]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) - [j30]Mohamed Nader Jelassi, Sadok Ben Yahia, Engelbert Mephu Nguifo:
Towards more targeted recommendations in folksonomies. Soc. Netw. Anal. Min. 5(1): 68:1-68:18 (2015) - [c73]Mohamed Nader Jelassi, Sadok Ben Yahia, Engelbert Mephu Nguifo:
PERSOREC : un système personnalisé de recommandations pour les folksonomies basé sur les concepts quadratiques. IC 2015 - [c72]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
- [j29]Radim Belohlávek, Dhouha Grissa, Sylvie Guillaume, Engelbert Mephu Nguifo, Jan Outrata:
Boolean factors as a means of clustering of interestingness measures of association rules. Ann. Math. Artif. Intell. 70(1-2): 151-184 (2014) - [j28]Tarek Hamrouni, Sadok Ben Yahia, Engelbert Mephu Nguifo:
Towards Faster Mining of Disjunction-Based Concise Representations of Frequent Patterns. Int. J. Artif. Intell. Tools 23(2) (2014) - [j27]Slim Bouker, Rabie Saidi, Sadok Ben Yahia, Engelbert Mephu Nguifo:
Mining Undominated Association Rules Through Interestingness Measures. Int. J. Artif. Intell. Tools 23(4) (2014) - [j26]Wajdi Dhifli, Rabie Saidi, Engelbert Mephu Nguifo:
Smoothing 3D Protein Structure Motifs Through Graph Mining and Amino Acid Similarities. J. Comput. Biol. 21(2): 162-172 (2014) - [j25]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) - [c71]Nestor Koueya, Sandro Bimonte, Engelbert Mephu Nguifo:
Une nouvelle approche d'estimation pour les entrepôts de données multi-granulaires incomplètes. EDA 2014: 129-144 - [c70]Mohamed Nader Jelassi, Sadok Ben Yahia, Engelbert Mephu Nguifo:
Vers des recommandations plus personnalisées dans les folksonomies. IC 2014: 187-198 - [i11]Cyrine Arouri, Engelbert Mephu Nguifo, Sabeur Aridhi, Cécile Roucelle, Gaëlle Bonnet-Loosli, Norbert Tsopzé:
Towards a constructive multilayer perceptron for regression task using non-parametric clustering. A case study of Photo-Z redshift reconstruction. CoRR abs/1412.5513 (2014) - [i10]Jocelyn de Goër de Herve, Myoung-Ah Kang, Xavier Bailly, Engelbert Mephu Nguifo:
A perceptual hash function to store and retrieve large scale DNA sequences. CoRR abs/1412.5517 (2014) - 2013
- [j24]Tarek Hamrouni, Sadok Ben Yahia, Engelbert Mephu Nguifo:
Looking for a structural characterization of the sparseness measure of (frequent closed) itemset contexts. Inf. Sci. 222: 343-361 (2013) - [j23]Philippe Fournier-Viger, Roger Nkambou, Engelbert Mephu Nguifo, André Mayers, Usef Faghihi:
A Multiparadigm Intelligent Tutoring System for Robotic Arm Training. IEEE Trans. Learn. Technol. 6(4): 364-377 (2013) - [c69]Mohamed Nader Jelassi, Sadok Ben Yahia, Engelbert Mephu Nguifo:
Nouvelle approche de recommandation personnalisée dans les folksonomies basée sur le profil des utilisateurs. IC 2013: 348-350 - [c68]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 - [c67]Mohamed Nader Jelassi, Sadok Ben Yahia, Engelbert Mephu Nguifo:
A personalized recommender system based on users' information in folksonomies. WWW (Companion Volume) 2013: 1215-1224 - [i9]Wajdi Dhifli, Rabie Saidi, Engelbert Mephu Nguifo:
Mining Representative Unsubstituted Graph Patterns Using Prior Similarity Matrix. CoRR abs/1303.2054 (2013) - [i8]Mohamed Nader Jelassi, Sadok Ben Yahia, Engelbert Mephu Nguifo:
Nouvelle approche de recommandation personnalisee dans les folksonomies basee sur le profil des utilisateurs. CoRR abs/1305.4820 (2013) - [i7]Slim Bouker, Rabie Saidi, Sadok Ben Yahia, Engelbert Mephu Nguifo:
Towards a semantic and statistical selection of association rules. CoRR abs/1305.5824 (2013) - [i6]Wajdi Dhifli, Mohamed Moussaoui, Rabie Saidi, Engelbert Mephu Nguifo:
Towards an Efficient Discovery of the Topological Representative Subgraphs. CoRR abs/1307.7411 (2013) - [i5]Tarek Hamrouni, Sadok Ben Yahia, Engelbert Mephu Nguifo:
Efficient construction of the lattice of frequent closed patterns and simultaneous extraction of generic bases of rules. CoRR abs/1312.1558 (2013) - 2012
- [j22]Philippe Fournier-Viger, Usef Faghihi, Roger Nkambou, Engelbert Mephu Nguifo:
CMRules: Mining sequential rules common to several sequences. Knowl. Based Syst. 25(1): 63-76 (2012) - [j21]Yoan Renaud, Alexandre Baillif, Jean-Baptiste Perez, Marie Agier, Engelbert Mephu Nguifo, Vincent Mirouse:
DroPNet: a web portal for integrated analysis of Drosophila protein-protein interaction networks. Nucleic Acids Res. 40(Web-Server-Issue): 134-139 (2012) - [j20]Norbert Tsopzé, Engelbert Mephu Nguifo, Gilbert Tindo:
Une approche basée sur les treillis de Galois pour la définition des architectures des réseaux de neurones. Tech. Sci. Informatiques 31(5): 675-704 (2012) - [c66]Wajdi Dhifli, Rabie Saidi, Engelbert Mephu Nguifo:
A novel approach for mining representative spatial motifs of proteins. BCB 2012: 506-508 - [c65]Rabie Saidi, Sabeur Aridhi, Engelbert Mephu Nguifo, Mondher Maddouri:
Feature extraction in protein sequences classification: a new stability measure. BCB 2012: 683-689 - [c64]Slim Bouker, Rabie Saidi, Sadok Ben Yahia, Engelbert Mephu Nguifo:
Ranking and Selecting Association Rules Based on Dominance Relationship. ICTAI 2012: 658-665 - [c63]Philippe Fournier-Viger, Roger Nkambou, André Mayers, Engelbert Mephu Nguifo, Usef Faghihi:
Multi-paradigm Generation of Tutoring Feedback in Robotic Arm Manipulation Training. ITS 2012: 233-242 - [p4]Sylvie Guillaume, Dhouha Grissa, Engelbert Mephu Nguifo:
Catégorisation des mesures d'intérêt pour l'extraction des connaissances. Mesurer et évaluer la Qualité des Données et des Connaissances 2012: 117-144 - [i4]Sylvie Guillaume, Dhouha Grissa, Engelbert Mephu Nguifo:
Categorization of interestingness measures for knowledge extraction. CoRR abs/1206.6741 (2012) - [i3]Mohamed Nader Jelassi, Sadok Ben Yahia, Engelbert Mephu Nguifo:
A scalable mining of frequent quadratic concepts in d-folksonomies. CoRR abs/1212.0087 (2012) - 2011
- [j19]Roger Nkambou, Philippe Fournier-Viger, Engelbert Mephu Nguifo:
Learning task models in ill-defined domain using an hybrid knowledge discovery framework. Knowl. Based Syst. 24(1): 176-185 (2011) - [j18]Engelbert Mephu Nguifo:
Introduction. Rev. d'Intelligence Artif. 25(3): 317-320 (2011) - [c62]Radim Belohlávek, Dhouha Grissa, Sylvie Guillaume, Engelbert Mephu Nguifo, Jan Outrata:
Boolean Factors as a Means of Clustering of Interestingness Measures of Association Rules. CLA 2011: 207-222 - [c61]Sylvie Guillaume, Dhouha Grissa, Engelbert Mephu Nguifo:
Catégorisation des mesures d'intérêt pour l'extraction des connaissances. EGC 2011: 551-562 - [c60]Norbert Tsopzé, Engelbert Mephu Nguifo, Gilbert Tindo:
Towards a generalization of decompositional approach of rule extraction from multilayer artificial neural network. IJCNN 2011: 1562-1569 - [c59]Philippe Fournier-Viger, Roger Nkambou, André Mayers, Engelbert Mephu Nguifo, Usef Faghihi:
An Hybrid Expert Model to Support Tutoring Services in Robotic Arm Manipulations. MICAI (1) 2011: 478-489 - [c58]Norbert Tsopzé, Engelbert Mephu Nguifo, Gilbert Tindo:
Extracting Both MofN Rules and if-then Rules from the Training Neural Networks. NeSy 2011: 38 - [c57]