Khaled Mellouli

According to our database1, Khaled Mellouli authored at least 66 papers between 1986 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Challenges and solutions for the integrated recovery room planning and scheduling problem during COVID-19 pandemic.
Medical Biol. Eng. Comput., 2022

2017
Parallel ant colony optimization for evacuation planning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Intelligent Indoor Evacuation Guidance System Based on Ant Colony Algorithm.
Proceedings of the 14th IEEE/ACS International Conference on Computer Systems and Applications, 2017

2015
A Hierarchical Decomposition Framework for Modeling Combinatorial Optimization Problems.
Proceedings of the 19th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2015

A four-decomposition strategies for hierarchically modeling combinatorial optimization problems: framework, conditions and relations.
Proceedings of the 2015 International Conference on High Performance Computing & Simulation, 2015

Decomposability Conditions of Combinatorial Optimization Problems.
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

On the Relationships Between Sub Problems in the Hierarchical Optimization Framework.
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

2014
Naive possibilistic classifiers for imprecise or uncertain numerical data.
Fuzzy Sets Syst., 2014

2013
Possibilistic classifiers for numerical data.
Soft Comput., 2013

2012
Hybridization of Genetic and Quantum Algorithm for gene Selection and Classification of microarray Data.
Int. J. Found. Comput. Sci., 2012

A Possibilistic Rule-Based Classifier.
Proceedings of the Advances on Computational Intelligence, 2012

A trust model for a multi-agent negotiation.
Proceedings of the International Conference on Communications and Information Technology, 2012

An NSGA-II Algorithm for the Green Vehicle Routing Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2012

2011
The <i>k</i>-coloring fitness landscape.
J. Comb. Optim., 2011

Possibilistic Classifiers for Uncertain Numerical Data.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

2010
SSERank: semantic search engine for page ranking based on the relations weight.
Int. J. Metadata Semant. Ontologies, 2010

From Bayesian Classifiers to Possibilistic Classifiers for Numerical Data.
Proceedings of the Scalable Uncertainty Management - 4th International Conference, 2010

A Multicriteria Bayesian Intelligent Tutoring System MBITS.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Using Class-Based Reasoning to Improve the Accuracy of Symbolic Rules in a Hybrid Possibilistic Approach.
Proceedings of the Second International Conference on Advances in Databases, 2010

Langage de recherche d'associations sémantiques à partir d'une base de connaissances.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2010

A possibilistic classification approach to handle continuous data.
Proceedings of the 8th ACS/IEEE International Conference on Computer Systems and Applications, 2010

Approaches for Semantic Association Mining and Hidden Entities Extraction in Knowledge Base.
Proceedings of the Ontology Theory, Management and Design - Advanced Tools and Models., 2010

2009
Special Issue on the Ninth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2007).
Int. J. Approx. Reason., 2009

Naïve possibilistic network classifiers.
Fuzzy Sets Syst., 2009

Qualitative possibilistic influence diagrams based on qualitative possibilistic utilities.
Eur. J. Oper. Res., 2009

Evaluation d'associations sémantiques dans une ontologie de domaine.
Proceedings of the IC 2009 : Actes des 20es Journées Francophones d'Ingénierie des Connaissances, 2009

Incremental Maintenance of Frequent Itemsets in Evidential Databases.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008
A Neural-Tabu Search Heuristic for the Real Time Vehicle Routing Problem.
J. Math. Model. Algorithms, 2008

A Cooperative Search Method for the <i>k</i>-Coloring Problem.
J. Math. Model. Algorithms, 2008

Inference in directed evidential networks based on the transferable belief model.
Int. J. Approx. Reason., 2008

Frequent Itemset Mining from Databases Including One Evidential Attribute.
Proceedings of the Scalable Uncertainty Management, Second International Conference, 2008

2007
Inférence dans les réseaux possibilistes basés sur le conditionnement ordinal.
Rev. d'Intelligence Artif., 2007

Pruning belief decision tree methods in averaging and conjunctive approaches.
Int. J. Approx. Reason., 2007

Information Affinity: A New Similarity Measure for Possibilistic Uncertain Information.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

On Directed and Undirected Propagation Algorithms for Bayesian Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

2006
Learning Bayesian Network Equivalence Classes from Incomplete Data.
Proceedings of the Discovery Science, 9th International Conference, 2006

Clustering Approach Using Belief Function Theory.
Proceedings of the Artificial Intelligence: Methodology, 2006

2005
Web Services as a Tool for Information Systems Effectiveness.
Proceedings of the 2005 IEEE/IPSJ International Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops), 31 January, 2005

Apprentissage supervisé pour la classification des images basé sur la structure P-tree.
Proceedings of the Extraction et gestion des connaissances (EGC'2005), 2005

Qualitative Inference in Possibilistic Option Decision Trees.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2004
Assessing sensor reliability for multisensor data fusion within the transferable belief model.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Apprentissage de la structure d'un réseau bayésien à partir d'une base de données.
Rev. d'Intelligence Artif., 2004

Approche binaire pour la génération des fortes règles d'association.
Proceedings of the Extraction et gestion des connaissances (EGC'2004), 2004

Optimisation des requêtes temporelles sur le web.
Proceedings of the Extraction et gestion des connaissances (EGC'2004), 2004

2003
Anytime propagation algorithm for min-based possibilistic graphs.
Soft Comput., 2003

Directed Evidential Networks with Conditional Belief Functions.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

Decision Trees and Qualitative Possibilistic Inference: Application to the Intrusion Detection Problem.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

2002
A Theoretical Framework for Possibilistic Independence in a Weakly Ordered Setting.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2002

Belief function independence: I. The marginal case.
Int. J. Approx. Reason., 2002

Belief function independence: II. The conditional case.
Int. J. Approx. Reason., 2002

Anytime Possibilistic Propagation Algorithm.
Proceedings of the Soft-Ware 2002: Computing in an Imperfect World, 2002

2001
Belief decision trees: theoretical foundations.
Int. J. Approx. Reason., 2001

About Conditional Belief Function Independence.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

Coarsening Approximations of Belief Functions.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

The Evaluation of Sensors' Reliability and Their Tuning for Multisensor Data Fusion within the Transferable Belief Model.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

A Two-Steps Algorithm for Min-Based Possibilistic Causal Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

2000
Une méthode tabou pour l'ordonnancement multiprocesseur avec délais de communication.
RAIRO Oper. Res., 2000

Classiying Scenarios Using Belief Decision Trees.
Proceedings of the Discovery Science, 2000

Classification with Belief Decision Trees.
Proceedings of the Artificial Intelligence: Methodology, 2000

1999
Updating Directed Belief Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1999

Optimized Algorithm for Learning Bayesian Network from Data.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1999

1998
Propagating multi-observations in directed belief networks.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

1994
Decision Making Using Belief Functions: Evaluation of Information.
Proceedings of the Advances in Intelligent Computing, 1994

1987
Propagating belief functions in qualitative Markov trees.
Int. J. Approx. Reason., 1987

1986
Propagation of belief functions: a distributed approach.
Proceedings of the UAI '86: Proceedings of the Second Annual Conference on Uncertainty in Artificial Intelligence, 1986

Qualitative Markov networks.
Proceedings of the Uncertainty in Knowledge-Based Systems, 1986


  Loading...