Engelbert Mephu Nguifo

According to our database1, Engelbert Mephu Nguifo authored at least 132 papers between 1993 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Corrections to "A Novel Computational Approach for Global Alignment for Multiple Biological Networks".
IEEE/ACM Trans. Comput. Biology Bioinform., 2019

Grasp heuristic for time series compression with piecewise aggregate approximation.
RAIRO - Operations Research, 2019

Efficiently Mining Recurrent Substructures from Protein Three-Dimensional Structure Graphs.
Journal of Computational Biology, 2019

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.
Journal of Computational Biology, 2019

2018
A Novel Computational Approach for Global Alignment for Multiple Biological Networks.
IEEE/ACM Trans. Comput. Biology Bioinform., 2018

Using Boolean factors for the construction of an artificial neural networks.
Int. J. General Systems, 2018

An experimental survey on big data frameworks.
Future Generation Comp. Syst., 2018

A Comparative Study on Streaming Frameworks for Big Data.
Proceedings of the Latin America Data Science Workshop co-located with 44th International Conference on Very Large Data Bases (VLDB 2018), 2018

ABClass : Une approche d'apprentissage multi-instances pour les séquences(ABClass: A multiple instance learning approach for sequence data).
Proceedings of the Actes de la Conférence Nationale d'Intelligence Artificielle et Rencontres des Jeunes Chercheurs en Intelligence Artificielle (CNIA+RJCIA 2018), 2018

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).
Proceedings of the Actes de la Conférence Nationale d'Intelligence Artificielle et Rencontres des Jeunes Chercheurs en Intelligence Artificielle (CNIA+RJCIA 2018), 2018

A de novo robust clustering approach for amplicon-based sequence data.
Proceedings of the Actes de la Conférence Nationale d'Intelligence Artificielle et Rencontres des Jeunes Chercheurs en Intelligence Artificielle (CNIA+RJCIA 2018), 2018

An Approach for Extracting Frequent (Closed) Gradual Patterns Under Temporal Constraint.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Fouille de Motifs Graduels Fermés Fréquents Sous Contrainte de la Temporalité.
Proceedings of the Extraction et Gestion des Connaissances, 2018

2017
Preface: Selected Papers from the Workshop Bioinformatics and Artificial Intelligence Joined with the International Joint Conference on Artificial Intelligence.
Journal of Computational Biology, 2017

MR-SimLab: Scalable subgraph selection with label similarity for big data.
Inf. Syst., 2017

EGG: A Framework for Generating Evolving RDF Graphs.
Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 23rd - to, 2017

A Distributed Framework for Large-Scale Time-Dependent Graph Analysis.
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), 2017

Synthetic Graph Generation from Finely-Tuned Temporal Constraints.
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), 2017

On Containment of Triclusters Collections Generated by Quantified Box Operators.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

Une Approche d’Extraction de Motifs Graduels (Fermés) Fréquents Sous Contrainte de la Temporalité.
Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

2016
Prediction of Ionizing Radiation Resistance in Bacteria Using a Multiple Instance Learning Model.
Journal of Computational Biology, 2016

Big Graph Mining: Frameworks and Techniques.
Big Data Research, 2016

Boolean factors based Artificial Neural Network.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

PERSOREC : un système personnalisé de recommandations pour les folksonomies basé sur les concepts quadratiques.
Proceedings of the IC 2016 : 27es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 27th French Knowledge Engineering Conference), 2016

Étude du profil utilisateur pour la recommandation dans les folksonomies.
Proceedings of the IC 2016 : 27es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 27th French Knowledge Engineering Conference), 2016

PersoRec : un système personnalisé de recommandations pour les folksonomies basé sur les concepts quadratiques.
Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

2015
Towards more targeted recommendations in folksonomies.
Social Netw. Analys. Mining, 2015

Density-based data partitioning strategy to approximate large-scale subgraph mining.
Inf. Syst., 2015

Cost Models for Distributed Pattern Mining in the Cloud.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

PERSOREC : un système personnalisé de recommandations pour les folksonomies basé sur les concepts quadratiques.
Proceedings of the IC 2015 : 26es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 26th French Knowledge Engineering Conference), 2015

2014
Un partitionnement basé sur la densité de graphe pour approcher la fouille distribuée de sous-graphes fréquents.
Technique et Science Informatiques, 2014

Smoothing 3D Protein Structure Motifs Through Graph Mining and Amino Acid Similarities.
Journal of Computational Biology, 2014

Towards Faster Mining of Disjunction-Based Concise Representations of Frequent Patterns.
International Journal on Artificial Intelligence Tools, 2014

Mining Undominated Association Rules Through Interestingness Measures.
International Journal on Artificial Intelligence Tools, 2014

Vers des recommandations plus personnalisées dans les folksonomies.
Proceedings of the IC 2014 : 25es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 25th French Knowledge Engineering Conference), 2014

Une nouvelle approche d'estimation pour les entrepôts de données multi-granulaires incomplètes.
Proceedings of the Actes des 10e journées francophones sur les Entrepôts de Données et l'Analyse en Ligne, 2014

2013
A Multiparadigm Intelligent Tutoring System for Robotic Arm Training.
TLT, 2013

Looking for a structural characterization of the sparseness measure of (frequent closed) itemset contexts.
Inf. Sci., 2013

A personalized recommender system based on users' information in folksonomies.
Proceedings of the 22nd International World Wide Web Conference, 2013

Computational phenotype prediction of ionizing-radiation-resistant bacteria with a multiple-instance learning model.
Proceedings of the 12th International Workshop on Data Mining in Bioinformatics, 2013

Nouvelle approche de recommandation personnalisée dans les folksonomies basée sur le profil des utilisateurs.
Proceedings of the IC 2013 : 24es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 24th French Knowledge Engineering Conference), 2013

2012
Une approche basée sur les treillis de Galois pour la définition des architectures des réseaux de neurones.
Technique et Science Informatiques, 2012

DroPNet: a web portal for integrated analysis of Drosophila protein-protein interaction networks.
Nucleic Acids Research, 2012

CMRules: Mining sequential rules common to several sequences.
Knowl.-Based Syst., 2012

Multi-paradigm Generation of Tutoring Feedback in Robotic Arm Manipulation Training.
Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

Ranking and Selecting Association Rules Based on Dominance Relationship.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Feature extraction in protein sequences classification: a new stability measure.
Proceedings of the ACM International Conference on Bioinformatics, 2012

A novel approach for mining representative spatial motifs of proteins.
Proceedings of the ACM International Conference on Bioinformatics, 2012

2011
Introduction.
Revue d'Intelligence Artificielle, 2011

Learning task models in ill-defined domain using an hybrid knowledge discovery framework.
Knowl.-Based Syst., 2011

OACAS: results for OAEI 2011.
Proceedings of the 6th International Workshop on Ontology Matching, 2011

Extracting Both MofN Rules and if-then Rules from the Training Neural Networks.
Proceedings of the Seventh International Workshop on Neural-Symbolic Learning and Reasoning, 2011

An Hybrid Expert Model to Support Tutoring Services in Robotic Arm Manipulations.
Proceedings of the Advances in Artificial Intelligence, 2011

Towards a generalization of decompositional approach of rule extraction from multilayer artificial neural network.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Catégorisation des mesures d'intérêt pour l'extraction des connaissances.
Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

Boolean Factors as a Means of Clustering of Interestingness Measures of Association Rules.
Proceedings of The Eighth International Conference on Concept Lattices and Their Applications, 2011

2010
Building Intelligent Tutoring Systems for Ill-Defined Domains.
Proceedings of the Advances in Intelligent Tutoring Systems, 2010

Exploiting Sequential Patterns Found in Users' Solutions and Virtual Tutor Behavior to Improve Assistance in ITS.
Educational Technology & Society, 2010

Protein sequences classification by means of feature extraction with substitution matrices.
BMC Bioinformatics, 2010

Generalization of association rules through disjunction.
Ann. Math. Artif. Intell., 2010

ITS in Ill-Defined Domains: Toward Hybrid Approaches.
Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

Optimized Mining of a Concise Representation for Frequent Patterns based on Disjunctions Rather than Conjunctions.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

CMRULES: An Efficient Algorithm for Mining Sequential Rules Common to Several Sequences.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

Etude de stabilité de méthodes d'extraction de motifs à partir des séquences protéiques.
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

2009
M-CLANN: Multiclass Concept Lattice-Based Artificial Neural Network.
Proceedings of the Constructive Neural Networks, 2009

A new generic basis of "factual" and "implicative" association rules.
Intell. Data Anal., 2009

Improving the Behavior of Intelligent Tutoring Agents with Data Mining.
IEEE Intelligent Systems, 2009

Sweeping the disjunctive search space towards mining new exact concise representations of frequent itemsets.
Data Knowl. Eng., 2009

Comparing graph-based representations of protein for mining purposes.
Proceedings of the ACM SIGKDD Workshop on Statistical and Relational Learning in Bioinformatics, 2009

OACAS - Ontologies Alignment using Composition and Aggregation of Similarities.
Proceedings of the KEOD 2009 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development, Funchal, 2009

Exploiting Partial Problem Spaces Learned from Users' Interactions to Provide Key Tutoring Services in Procedural and Ill-Defined Domains.
Proceedings of the Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, 2009

Mining Temporal Patterns to Improve Agents Behavior: Two Case Studies.
Proceedings of the Data Mining and Multi-agent Integration, 2009

2008
Preface.
Int. J. Found. Comput. Sci., 2008

Succinct Minimal Generators: Theoretical Foundations and Applications.
Int. J. Found. Comput. Sci., 2008

A Knowledge Discovery Framework for Learning Task Models from User Interactions in Intelligent Tutoring Systems.
Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008

Using Knowledge Discovery Techniques to Support Tutoring in an Ill-Defined Domain.
Proceedings of the Intelligent Tutoring Systems, 9th International Conference, 2008

M-CLANN: Multi-class Concept Lattice-Based Artificial Neural Network for Supervised Classification.
Proceedings of the Artificial Neural Networks, 2008

2007
SODA: an OWL-DL based Ontology Matching System.
Proceedings of the 2nd International Workshop on Ontology Matching (OM-2007) Collocated with the 6th International Semantic Web Conference (ISWC-2007) and the 2nd Asian Semantic Web Conference (ASWC-2007), 2007

A scalable association rule visualization towards displaying large amounts of knowledge.
Proceedings of the 11th International Conference on Information Visualisation, 2007

About the Lossless Reduction of the Minimal Generator Family of a Context.
Proceedings of the Formal Concept Analysis, 5th International Conference, 2007

Une nouvelle méthode d'alignement et de visualisation d'ontologies OWL-Lite.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

Une étude des algorithmes de construction d'architecture des réseaux de neurones multicouches.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

Classification supervisée de séquences biologiques basée sur les motifs et les matrices de substitution.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

Les itemsets essentiels fermés : une nouvelle représentation concise.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

Vers une plate-forme interactive pour la visualisation de grands ensembles de règles d'association.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

A new alignment method for OWL-Lite ontologies using propagation of similarity over the graph.
Proceedings of the 18th International Workshop on Database and Expert Systems Applications (DEXA 2007), 2007

Towards a Finer Assessment of Extraction Contexts Sparseness.
Proceedings of the 18th International Workshop on Database and Expert Systems Applications (DEXA 2007), 2007

Extraction of Association Rules Based on Literalsets.
Proceedings of the Data Warehousing and Knowledge Discovery, 9th International Conference, 2007

EDOLA : Une nouvelle méthode d'alignement d'ontologies OWL-Lite.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2007

CLANN: Concept Lattice-based Artificial Neural Network for Supervised Classification.
Proceedings of the Fifth International Conference on Concept Lattices and Their Applications, 2007

A New Concise Representation of Frequent Patterns through Disjunctive Search Space.
Proceedings of the Fifth International Conference on Concept Lattices and Their Applications, 2007

Biological Sequences Encoding for Supervised Classification.
Proceedings of the Bioinformatics Research and Development, First International Conference, 2007

A Framework for Problem-Solving Knowledge Mining from Users' Actions.
Proceedings of the Artificial Intelligence in Education, 2007

Problem-Solving Knowledge Mining from Users' Actions in an Intelligent Tutoring System.
Proceedings of the Advances in Artificial Intelligence, 2007

2006
Frequent closed itemset based algorithms: a thorough structural and analytical survey.
SIGKDD Explorations, 2006

Editorial introduction to special ARIMA / SACJ joint issue on advances in end-user data mining techniques.
South African Computer Journal, 2006

Visualisation des règles associatives : vers une approche méta-cognitive.
Proceedings of the Actes du XXIVème Congrès INFORSID, Hammamet, Tunisie, 31 mai, 2006

Une approche anthropocentrée interactive pour l'aide à la décision en marketing bancaire.
Proceedings of the 18th International Conference of the Association Francophone d'Interaction Homme-Machine, 2006

Enhancing Tutoring Intelligence Using Knowledge Discovery Techniques.
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

Generic Association Rule Bases: Are They so Succinct?.
Proceedings of the Concept Lattices and Their Applications, 2006

Succinct System of Minimal Generators: A Thorough Study, Limitations and New Definitions.
Proceedings of the Concept Lattices and Their Applications, 2006

2005
Treillis de concepts et classification supervisée.
Technique et Science Informatiques, 2005

IGB: A New Informative Generic Base of Association Rules.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Interactive Datamining Process Based on Human-Centered System for Banking Marketing Applications.
Proceedings of the ICEIS 2005, 2005

Discovering "Factual" and "Implicative" generic association rules.
Proceedings of the Actes de CAP 05, Conférence francophone sur l'apprentissage automatique, 2005

2004
Approches d'extraction de règles d'association basées sur la correspondance de Galois.
Ingénierie des Systèmes d'Information, 2004

Étude et conception d'algorithmes de génération de concepts formels.
Ingénierie des Systèmes d'Information, 2004

Clustering Binary Codes to Express the Biochemical Properties of Amino Acids.
Proceedings of the Intelligent Information Processing II, 2004

Emulating a Cooperative Behavior in a Generic Association Rule Visualization Tool.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

Mining frequent closed itemsets for large data.
Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004

A Parallel Algorithm to Generate Formal Concepts for Large Data.
Proceedings of the Concept Lattices, 2004

A Comparative Study of FCA-Based Supervised Classification Algorithms.
Proceedings of the Concept Lattices, 2004

Contextual generic association rules visualization using hierarchical fuzzy meta-rules.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

How well go lattice algorithms on currently used machine learning testBeds?
Proceedings of the Extraction et gestion des connaissances (EGC'2004), 2004

Un algorithme de génération des itemsets fermés pour la fouille de données.
Proceedings of the Extraction et gestion des connaissances (EGC'2004), 2004

Une étude d'algorithmes de classification supervisée basée sur les treillis de Galois.
Proceedings of the Extraction et gestion des connaissances (EGC'2004), 2004

Recherche de règles d'association hiérarchiques par une approche anthropocentrée.
Proceedings of the Extraction et gestion des connaissances (EGC'2004), 2004

Revisiting Generic Bases of Association Rules.
Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004

Emulating a Cooperative Behavior in a Generic Association Rule Visualization Tool.
Proceedings of the CLA 2004 International Workshop on Concept Lattices and their Applications, 2004

A new Informative Generic Base of Association Rules.
Proceedings of the CLA 2004 International Workshop on Concept Lattices and their Applications, 2004

2003
Introduction - Concept Lattice-Based Theory, Methods and Tools for Knowledge Discovery in Databases: Applications.
Applied Artificial Intelligence, 2003

Partitioning Large Data to Scale up Lattice-Based Algorithm.
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003

2002
Concept lattice-based knowledge discovery in databases.
J. Exp. Theor. Artif. Intell., 2002

2001
IGLUE: A lattice-based constructive induction system.
Intell. Data Anal., 2001

1999
Improving the Efficiency of a User-Driven Learning System with Reconfigurable Hardware. Application to DNA Splicing.
Proceedings of the 4th Pacific Symposium on Biocomputing, 1999

Exemplar-Based Prototype Selection for a Multi-Strategy Learning System.
Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence, 1999

1998
Using Lattice-Based Framework as a Tool for Feature Extraction.
Proceedings of the Machine Learning: ECML-98, 1998

1997
PLATA: An Application of LEGAL, a Machine Learning Based System, to a Typology of Archaeological Ceramics.
Computers and the Humanities, 1997

IGLUE: An Instance-Based Learning System over Lattice Theory.
Proceedings of the 9th International Conference on Tools with Artificial Intelligence, 1997

An Interactive Environment for Dynamic Control of Machine Learning Systems.
Proceedings of the Design of Computing Systems: Social and Ergonomic Considerations, 1997

1994
Galois Lattice: A Framework for Concept Learning-Design, Evaluation and Refinement.
Proceedings of the Sixth International Conference on Tools with Artificial Intelligence, 1994

1993
Prediction of Primate Splice Junction Gene Sequences with a Cooperative Knowledge Acquisition System.
Proceedings of the 1st International Conference on Intelligent Systems for Molecular Biology, 1993


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