Zied Elouedi

Orcid: 0000-0002-0476-4951

According to our database1, Zied Elouedi authored at least 186 papers between 2000 and 2023.

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

Timeline

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Bibliography

2023
An ensemble classifier through rough set reducts for handling data with evidential attributes.
Inf. Sci., July, 2023

Re-sampling of multi-class imbalanced data using belief function theory and ensemble learning.
Int. J. Approx. Reason., May, 2023

Evidential Generative Adversarial Networks for Handling Imbalanced Learning.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

2022
Towards more trustworthy predictions: A hybrid evidential movie recommender system.
J. Univers. Comput. Sci., 2022

CIMMEP: constrained integrated method for CBR maintenance based on evidential policies.
Appl. Intell., 2022

Learning from Imbalanced Data Using an Evidential Undersampling-Based Ensemble.
Proceedings of the Scalable Uncertainty Management - 15th International Conference, 2022

Déséquilibre multi-classes : une approche évidentielle de rééchantillonnage hybride.
Proceedings of the Rencontres francophones sur la Logique Floue et ses Applications, 2022

Evidential Hybrid Re-sampling for Multi-class Imbalanced Data.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

Hybrid Artificial Immune Recognition System with Improved Belief Classification Process.
Proceedings of the Belief Functions: Theory and Applications, 2022

2021
Evidential Undersampling Approach for Imbalanced Datasets with Class-Overlapping and Noise.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2021

Evidential Spammers and Group Spammers Detection.
Proceedings of the Intelligent Systems Design and Applications, 2021

Optimized Evidential AIRS with Feature Selection and Genetic Algorithm.
Proceedings of the Intelligent Systems Design and Applications, 2021

An Optimized Evidential Artificial Immune Recognition System Based on Genetic Algorithm.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

Uncertainty-Aware Resampling Method for Imbalanced Classification Using Evidence Theory.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021

2020
Dynamic maintenance case base using knowledge discovery techniques for case based reasoning systems.
Theor. Comput. Sci., 2020

An evidential integrated method for maintaining case base and vocabulary containers within CBR systems.
Inf. Sci., 2020

A Hybrid Fuzzy Maintained Classification Method Based on Dendritic Cells.
J. Classif., 2020

E-DBSCAN: An evidential version of the DBSCAN method.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

An Evidential Spammer Detection based on the Suspicious Behaviors' Indicators.
Proceedings of the International Multi-Conference on: "Organization of Knowledge and Advanced Technologies", 2020

Managing uncertainty during CBR systems vocabulary maintenance using Relational Evidential C-Means.
Proceedings of the International Multi-Conference on: "Organization of Knowledge and Advanced Technologies", 2020

Parameter Optimization and Weights Assessment for Evidential Artificial Immune Recognition System.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Evidential Group Spammers Detection.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

A Belief Classification Approach Based on Artificial Immune Recognition System.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

A Preprocessing Approach for Class-Imbalanced Data Using SMOTE and Belief Function Theory.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

2019
Evidential link prediction in social networks based on structural and social information.
J. Comput. Sci., 2019

Decision tree classifiers for evidential attribute values and class labels.
Fuzzy Sets Syst., 2019

Special issue: Selected papers from Fuzzy Logic and Applications (LFA 2016).
Fuzzy Sets Syst., 2019

An Evidential Clustering for Collaborative Filtering Based on Users' Preferences.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2019

Evidential Artificial Immune Recognition System.
Proceedings of the Knowledge Science, Engineering and Management, 2019

Spammers Detection Based on Reviewers' Behaviors Under Belief Function Theory.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019

CEVM: Constrained Evidential Vocabulary Maintenance Policy for CBR Systems.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019

Joining Items Clustering and Users Clustering for Evidential Collaborative Filtering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Multiple Criteria Fake Reviews Detection Based on Spammers' Indicators Within the Belief Function Theory.
Proceedings of the Hybrid Intelligent Systems, 2019

Toward the Evaluation of Case Base Maintenance Policies Under the Belief Function Theory.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019

2018
SCBM: soft case base maintenance method based on competence model.
J. Comput. Sci., 2018

Evidential Multi-relational Link Prediction Based on Social Content.
Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

K-Nearest Neighbors Under Possibility Framework with Optimizing Parameters.
Proceedings of the Intelligent Systems Design and Applications, 2018

Multiple Criteria Fake Reviews Detection Using Belief Function Theory.
Proceedings of the Intelligent Systems Design and Applications, 2018

An Evidential Collaborative Filtering Dealing with Sparsity Problem and Data Imperfections.
Proceedings of the Intelligent Systems Design and Applications, 2018

Ensemble Enhanced Evidential k-NN Classifier Through Rough Set Reducts.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

DETD: Dynamic Policy for Case Base Maintenance Based on EK-NNclus Algorithm and Case Types Detection.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

Towards a Hybrid User and Item-Based Collaborative Filtering Under the Belief Function Theory.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

CEC-Model: A New Competence Model for CBR Systems Based on the Belief Function Theory.
Proceedings of the Case-Based Reasoning Research and Development, 2018

Exploiting Domain-Experts Knowledge Within an Evidential Process for Case Base Maintenance.
Proceedings of the Belief Functions: Theory and Applications, 2018

An Evidential Collaborative Filtering Approach Based on Items Contents Clustering.
Proceedings of the Belief Functions: Theory and Applications, 2018

Fake Reviews Detection Under Belief Function Framework.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, 2018

Analytical Network Process Method Under the Belief Function Framework.
Proceedings of the AI*IA 2018 - Advances in Artificial Intelligence, 2018

2017
Comparing dependent combination rules under the belief classifier fusion framework.
Soft Comput., 2017

Toward intrusion detection using belief decision trees for big data.
Knowl. Inf. Syst., 2017

AIRS-GA: A hybrid deterministic classifier based on artificial immune recognition system and genetic algorithm.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Selection of Initial Modes for Rough Possibilistic K-Modes Methods.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

From Crisp to Soft Possibilistic and Rough Meta-clustering of Retail Datasets.
Proceedings of the Intelligent Systems Design and Applications, 2017

A Novel k-NN Approach for Data with Uncertain Attribute Values.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

Evidential Link Prediction in Uncertain Social Networks Based on Node Attributes.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

A New User-Based Collaborative Filtering Under the Belief Function Theory.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

Assessing Items Reliability for Collaborative Filtering Within the Belief Function Framework.
Proceedings of the Digital Economy. Emerging Technologies and Business Innovation, 2017

Ensemble Enhanced Evidential k-NN Classifier Through Random Subspaces.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

Evidential k-NN for Link Prediction.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

A Clustering Approach for Collaborative Filtering Under the Belief Function Framework.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

Qualitative AHP Method Based on Multiple Criteria Levels Under Group of Experts.
Proceedings of the Database and Expert Systems Applications, 2017

ECTD: Evidential Clustering and Case Types Detection for Case Base Maintenance.
Proceedings of the 14th IEEE/ACS International Conference on Computer Systems and Applications, 2017

2016
Proactive and reactive e-government services recommendation.
Univers. Access Inf. Soc., 2016

Possibilistic AIRS induction from uncertain data.
Soft Comput., 2016

A survey of the dendritic cell algorithm.
Knowl. Inf. Syst., 2016

From the General to the Specific: Inducing a Novel Dendritic Cell Algorithm from a Detailed State-of-the-Art Review.
Int. J. Pattern Recognit. Artif. Intell., 2016

Belief AHP Method - AHP Method with the Belief Function Framework.
Int. J. Inf. Technol. Decis. Mak., 2016

Meta-clustering of possibilistically segmented retail datasets.
Fuzzy Sets Syst., 2016

Evidential Item-Based Collaborative Filtering.
Proceedings of the Knowledge Science, Engineering and Management, 2016

An Evidential Method for Multi-relational Link Prediction in Uncertain Social Networks.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016

Fuzzy density based clustering method: Soft DBSCAN-GM.
Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

Feature Selection from Partially Uncertain Data Within the Belief Function Framework.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

Evidential Missing Link Prediction in Uncertain Social Networks.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

Causal Belief Inference in Multiply Connected Networks.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

Handling Uncertain Attribute Values in Decision Tree Classifier Using the Belief Function Theory.
Proceedings of the Artificial Intelligence: Methodology, Systems, and Applications, 2016

Clustering data stream under a belief function framework.
Proceedings of the 13th IEEE/ACS International Conference of Computer Systems and Applications, 2016

A clustering based approach for query relaxation in evidential databases.
Proceedings of the 13th IEEE/ACS International Conference of Computer Systems and Applications, 2016

2015
Community detection for graph-based similarity: Application to protein binding pockets classification.
Pattern Recognit. Lett., 2015

Hybridization Schemes of the Fuzzy Dendritic Cell Immune Binary Classifier based on Different Fuzzy Clustering Techniques.
New Gener. Comput., 2015

Semantically Segmented Clustering Based on Possibilistic and Rough Set Theories.
Int. J. Intell. Syst., 2015

Evidential Link Prediction Based on Group Information.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2015

Classifier Fusion Within the Belief Function Framework Using Dependent Combination Rules.
Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015

Qualitative AHP models under the belief function framework.
Proceedings of the 15th International Conference on Intelligent Systems Design and Applications, 2015

Inference in junction trees using the belief function theory.
Proceedings of the 15th International Conference on Intelligent Systems Design and Applications, 2015

The Link Prediction Problem under a Belief Function Framework.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

A New Version of the Dendritic Cell Immune Algorithm Based on the K-Nearest Neighbors.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Comparison of belief AHP models using a simulation study.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

Belief Function Combination: Comparative Study Within the Classifier Fusion Framework.
Proceedings of the 1st International Conference on Advanced Intelligent System and Informatics, 2015

Big Data Classification Using Belief Decision Trees: Application to Intrusion Detection.
Proceedings of the 1st International Conference on Advanced Intelligent System and Informatics, 2015

2014
Competence of Case-Based Reasoning System Utilizing a Soft Density-Based Spatial Clustering of Application with Noise Method.
Proceedings of the Issues and Challenges in Artificial Intelligence, 2014

Ascribing Causality from Observational and Interventional Belief Function Knowledge Modeling.
J. Multiple Valued Log. Soft Comput., 2014

WCOID-DG: An approach for case base maintenance based on Weighting, Clustering, Outliers, Internal Detection and Dbsan-Gmeans.
J. Comput. Syst. Sci., 2014

Iterative meta-clustering through granular hierarchy of supermarket customers and products.
Inf. Sci., 2014

Multi-Criteria Decision Making Method with Belief Preference Relations.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014

New dynamic clustering approaches within belief function framework.
Intell. Data Anal., 2014

Re-visiting the artificial immune recognition system: a survey and an improved version.
Artif. Intell. Rev., 2014

A hybrid approach based on decision trees and clustering for breast cancer classification.
Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014

A Rough Information Extraction Technique for the Dendritic Cell Algorithm within Imprecise Circumstances.
Proceedings of the Artificial Intelligence: Methods and Applications, 2014

Semantically Enhanced Clustering in Retail Using Possibilistic K-Modes.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Predicting Proteins Functional Family: A Graph-Based Similarity Derived from Community Detection.
Proceedings of the Intelligent Systems'2014, 2014

An Extension of the Analytic Hierarchy Process Method under the Belief Function Framework.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Representing Interventional Knowledge in Causal Belief Networks: Uncertain Conditional Distributions Per Cause.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Decremental Rough Possibilistic K-Modes.
Proceedings of the Adaptive and Intelligent Systems - Third International Conference, 2014

Improving the Dendritic Cell Algorithm Performance Using Fuzzy-Rough Set Theory as a Pattern Discovery Technique.
Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications, 2014

Maintaining Case Based Reasoning Systems Based on Soft Competence Model.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

A two-leveled hybrid dendritic cell algorithm under imprecise reasoning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Rough possibilistic meta-clustering of retail datasets.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Incremental Induction of Belief Decision Trees in Averaging Approach.
Proceedings of the Database and Expert Systems Applications, 2014

A study of the data pre-processing module of the dendritic cell evolutionary algorithm.
Proceedings of the International Conference on Control, 2014

Belief Hierarchical Clustering.
Proceedings of the Belief Functions: Theory and Applications, 2014

Modeling Qualitative Assessments under the Belief Function Framework.
Proceedings of the Belief Functions: Theory and Applications, 2014

A Direct Propagation Method in Singly Connected Causal Belief Networks with Conditional Distributions for all Causes.
Proceedings of the Artificial Intelligence and Symbolic Computation, 2014

2013
Dealing with external actions in belief causal networks.
Int. J. Approx. Reason., 2013

How to preserve the conflict as an alarm in the combination of belief functions?
Decis. Support Syst., 2013

Learning from Uncertain Data Using Possibilistic Artificial Immune Recognition Systems.
Proceedings of the Theory and Practice of Natural Computing, 2013

A New Hybrid Fuzzy-Rough Dendritic Cell Immune Classifier.
Proceedings of the Advances in Swarm Intelligence, 4th International Conference, 2013

Decremental Possibilistic K-Modes.
Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 2013

Belief Discernibility Matrix and Function for Incremental or Large Data.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

Incremental Possibilistic K-Modes.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

Incremental Rough Possibilistic K-Modes.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2013

Modeling expert preference using the qualitative belief function framework.
Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013

The k-modes method using possibility and rough set theories.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Supporting Fuzzy-Rough Sets in the Dendritic Cell Algorithm Data Pre-processing Phase.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

QR-DCA: A New Rough Data Pre-processing Approach for the Dendritic Cell Algorithm.
Proceedings of the Adaptive and Natural Computing Algorithms, 2013

Soft DBSCAN: Improving DBSCAN clustering method using fuzzy set theory.
Proceedings of the 6th International Conference on Human System Interactions, 2013

A new data pre-processing approach for the dendritic cellalgorithm based on fuzzy rough set theory.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Modeling Competence for Case Based Reasoning Systems Using Clustering.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

A Fuzzy-Rough Data Pre-processing Approach for the Dendritic Cell Classifier.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

Causal Belief Networks: Handling Uncertain Interventions.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

Multicriteria Decision Making Based on Qualitative Assessments and Relational Belief.
Proceedings of the AI*IA 2013: Advances in Artificial Intelligence, 2013

Exhaustive Search with Belief Discernibility Matrix and Function.
Proceedings of the Advances in Artificial Intelligence, 2013

The K-Modes Method under Possibilistic Framework.
Proceedings of the Advances in Artificial Intelligence, 2013

2012
Heuristic for Attribute Selection Using Belief Discernibility Matrix.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Introducing Incomparability in Modeling Qualitative Belief Functions.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2012

RPKM: The Rough Possibilistic K-Modes.
Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012

From Acceptation Relations to Causality Ascription in a Belief Function Framework.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2012

Reasoning under Uncertainty in the AHP Method Using the Belief Function Theory.
Proceedings of the Advances in Computational Intelligence, 2012

Handling Interventions with Uncertain Consequences in Belief Causal Networks.
Proceedings of the Advances in Computational Intelligence, 2012

K-Modes Clustering Using Possibilistic Membership.
Proceedings of the Advances in Computational Intelligence, 2012

RST-DCA: A Dendritic Cell Algorithm Based on Rough Set Theory.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

RC-DCA: A New Feature Selection and Signal Categorization Technique for the Dendritic Cell Algorithm Based on Rough Set Theory.
Proceedings of the Artificial Immune Systems - 11th International Conference, 2012

COID-FDCM: The Fuzzy Maintained Dendritic Cell Classification Method.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

Ascribing Causality from Interventional Belief Function Knowledge.
Proceedings of the Belief Functions: Theory and Applications, 2012

2011
Classification with Dynamic Reducts and Belief Functions.
Trans. Rough Sets, 2011

Classification systems based on rough sets under the belief function framework.
Int. J. Approx. Reason., 2011

Representing Belief Function Knowledge with Graphical Models.
Proceedings of the Knowledge Science, Engineering and Management, 2011

WCOID: Maintaining case-based reasoning systems using Weighting, Clustering, Outliers and Internal cases Detection.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Analyzing belief function networks with conditional beliefs.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Further Exploration of the Fuzzy Dendritic Cell Method.
Proceedings of the Artificial Immune Systems - 10th International Conference, 2011

Ranking-Based Feature Selection Method for Dynamic Belief Clustering.
Proceedings of the Adaptive and Intelligent Systems - Second International Conference, 2011

Redefining material implication with subjective logic.
Proceedings of the 14th International Conference on Information Fusion, 2011

Modeling Interventions Using Belief Causal Networks.
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

Towards an Alarm for Opposition Conflict in a Conjunctive Combination of Belief Functions.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

Handling Partial Preferences in the Belief AHP Method: Application to Life Cycle Assessment.
Proceedings of the AI*IA 2011: Artificial Intelligence Around Man and Beyond, 2011

A New Possibilistic Clustering Method: The Possibilistic K-Modes.
Proceedings of the AI*IA 2011: Artificial Intelligence Around Man and Beyond, 2011

2010
Heuristic method for attribute selection from partially uncertain data using rough sets.
Int. J. Gen. Syst., 2010

DK-BKM: Decremental K Belief K-Modes Method.
Proceedings of the Scalable Uncertainty Management - 4th International Conference, 2010

A Comparison of Dynamic and Static Belief Rough Set Classifier.
Proceedings of the Rough Sets and Current Trends in Computing, 2010

Belief Rough Set Classification for web mining based on dynamic core.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Rule Discovery Process Based on Rough Sets under the Belief Function Framework.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

Discountings of a Belief Function Using a Confusion Matrix.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

FDCM: A Fuzzy Dendritic Cell Method.
Proceedings of the Artificial Immune Systems, 9th International Conference, 2010

IK-BKM: An incremental clustering approach based on intra-cluster distance.
Proceedings of the 8th ACS/IEEE International Conference on Computer Systems and Applications, 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

Dynamic Reduct from Partially Uncertain Data Using Rough Sets.
Proceedings of the Rough Sets, 2009

Similarity Analysis of Protein Binding Sites: A Generalization of the Maximum Common Subgraph Measure Based on Quasi-Clique Detection.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

On the Use of Clustering in Possibilistic Decision Tree Induction.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

Belief Rough Set Classifier.
Proceedings of the Advances in Artificial Intelligence, 2009

2008
Decision trees as possibilistic classifiers.
Int. J. Approx. Reason., 2008

SIM-PDT: A Similarity Based Possibilistic Decision Tree Approach.
Proceedings of the Foundations of Information and Knowledge Systems, 2008

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

Belief Classification Approach Based on Generalized Credal EM.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

Interpreting Belief Functions as Dirichlet Distributions.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

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

2006
Réseaux bayésiens naïfs et arbres de décision dans les systèmes de détection d'intrusions.
Tech. Sci. Informatiques, 2006

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

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

Towards a Definition of Evaluation Criteria for Probabilistic Classifiers.
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

Naive Bayes vs decision trees in intrusion detection systems.
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

Qualitative classification and evaluation in possibilistic decision trees.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

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

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

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


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