الرئيسية › دليل الباحثين › Éric Lefèvre
Éric Lefèvre
الانتماء : Université d'Artois
- 77منشورات (انتماء فرنسي)
- 165مجموع المنشورات
- 1884الاستشهادات
- 19مؤشر h
الملف البحثي
لدى Éric Lefèvre 77 منشور(ات) مفهرسة (2010–2026). تُنشر أعماله أساسًا في «Lecture notes in computer science»، «Communications in computer and information science» و«Advances in intelligent systems and computing». أكثر مقالاته استشهادًا هو «How to preserve the conflict as an alarm in the combination of belief functions?» (2013)، وقد استُشهد به 112 مرة. 3 من هذه المنشورات تعود إلى آخر ثلاث سنوات من النشاط. شارك في تأليف أعماله 12 باحثًا على الأقل، منهم باحثون من مؤسسات في تونس.
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إنشاء ملفي المجاني إضافة منشوراتيمجالات البحث
- Multi-Criteria Decision Making
- Rough Sets and Fuzzy Logic
- Bayesian Modeling and Causal Inference
- Fuzzy and Soft Set Theory
- Machine Fault Diagnosis Techniques
المنشورات (77)
- Uncertainty-Driven Imbalanced Image Classification: Enhancing Robustness with GANs and Evidence Theory
- Evidential Counterfactual Explanations for Instance-Based Classification Under the Belief Function Framework
- Evidential Cluster-Based Active Learning
- Re-sampling of multi-class imbalanced data using belief function theory and ensemble learning
- An ensemble classifier through rough set reducts for handling data with evidential attributes
- Evidential Generative Adversarial Networks for Handling Imbalanced Learning
- Learning from Imbalanced Data Using an Evidential Undersampling-Based Ensemble
- Evidential Spammers and Group Spammers Detection
- Evidential Hybrid Re-sampling for Multi-class Imbalanced Data
- Evidential Undersampling Approach for Imbalanced Datasets with Class-Overlapping and Noise
- CIMMEP: constrained integrated method for CBR maintenance based on evidential policies
- Uncertainty-Aware Resampling Method for Imbalanced Classification Using Evidence Theory
- New decision support approach for locating self-dialysis centers
- E-DBSCAN: An evidential version of the DBSCAN method
- An Evidential Spammer Detection based on the Suspicious Behaviors' Indicators
- A Preprocessing Approach for Class-Imbalanced Data Using SMOTE and Belief Function Theory
- Evidential Group Spammers Detection
- Multiple Criteria Fake Reviews Detection Based on Spammers’ Indicators Within the Belief Function Theory
- Managing uncertainty during CBR systems vocabulary maintenance using Relational Evidential C-Means
- An evidential integrated method for maintaining case base and vocabulary containers within CBR systems
- Multiple Criteria Fake Reviews Detection Using Belief Function Theory
- CEVM: Constrained Evidential Vocabulary Maintenance Policy for CBR Systems
- Spammers Detection Based on Reviewers’ Behaviors Under Belief Function Theory
- FAKE REVIEWS DETECTION BASED ON BOTH THE REVIEW AND THE REVIEWER FEATURES UNDER BELIEF FUNCTION THEORY
- Toward the Evaluation of Case Base Maintenance Policies Under the Belief Function Theory
- EXPLOITING PRIOR KNOWLEDGE FOR EVALUATING CBR SYSTEMS USING A COVERAGE & CONSTRAINED EVIDENTIAL CLUSTERING BASED MODEL
- Decision tree classifiers for evidential attribute values and class labels
- Evidential link prediction in social networks based on structural and social information
- DETD: Dynamic Policy for Case Base Maintenance Based on EK-NNclus Algorithm and Case Types Detection
- Fake Reviews Detection Under Belief Function Framework
- Exploiting Domain-Experts Knowledge Within an Evidential Process for Case Base Maintenance
- Ensemble Enhanced Evidential k-NN Classifier Through Rough Set Reducts
- CEC-Model: A New Competence Model for CBR Systems Based on the Belief Function Theory
- Maintaining case knowledge vocabulary using a new evidential attribute clustering method
- Evidential Multi-relational Link Prediction Based on Social Content
- Ensemble Evidential Editing k-NNs through rough set reducts
- Analytical Network Process Method Under the Belief Function Framework
- A Novel k-NN Approach for Data with Uncertain Attribute Values
- Ensemble Enhanced Evidential k-NN Classifier Through Random Subspaces
- Evidential k-NN for Link Prediction
- Evidential Link Prediction in Uncertain Social Networks Based on Node Attributes
- Qualitative AHP Method Based on Multiple Criteria Levels Under Group of Experts
- Evidential data mining: precise support and confidence
- Handling Uncertain Attribute Values in Decision Tree Classifier Using the Belief Function Theory
- Belief AHP Method — AHP Method with the Belief Function Framework
- Evidential Missing Link Prediction in Uncertain Social Networks
- Feature Selection from Partially Uncertain Data Within the Belief Function Framework
- An Evidential Method for Multi-relational Link Prediction in Uncertain Social Networks
- Comparing dependent combination rules under the belief classifier fusion framework
- Evidential Link Prediction Based on Group Information
- The Link Prediction Problem under a Belief Function Framework
- Reliability Estimation Measure: Generic Discounting Approach
- Belief Function Combination: Comparative Study Within the Classifier Fusion Framework
- Classifier Fusion Within the Belief Function Framework Using Dependent Combination Rules
- Qualitative AHP models under the belief function framework
- Comparison of belief AHP models using a simulation study
- Multi-Criteria Decision Making Method with Belief Preference Relations
- Classification with Evidential Associative Rules
- Evidential Database: A New Generalization of Databases?
- An Extension of the Analytic Hierarchy Process Method under the Belief Function Framework
- Modeling Qualitative Assessments under the Belief Function Framework
- Integration of Extra-Information for Belief Function Theory Conflict Management Problem Through Generic Association Rules
- Belief Function Classification with Conflict Management: Application on Forest Image
- Response to “Addendum for the TBM global distance measure for the association of uncertain combat ID declarations” by B. Ristic, M.C. Florea and E. Boissé
- How to preserve the conflict as an alarm in the combination of belief functions?
- Mining Frequent Itemsets in Evidential Database
- Reliability estimation with Extrinsic and Intrinsic measure in belief function theory
- Conflict management with dependent information sources in the belief function framework
- Modeling expert preference using the qualitative belief function framework
- Multicriteria Decision Making Based on Qualitative Assessments and Relational Belief
- Generic Discounting Evaluation Approach for Urban Image Classification
- Reasoning under Uncertainty in the AHP Method Using the Belief Function Theory
- Introducing Incomparability in Modeling Qualitative Belief Functions
- Handling Partial Preferences in the Belief AHP Method: Application to Life Cycle Assessment
- Towards an Alarm for Opposition Conflict in a Conjunctive Combination of Belief Functions
- Classification of high-resolution remote sensing image by adapting the distance belief function estimation model
- Discountings of a Belief Function Using a Confusion Matrix
مجلات النشر
- Lecture notes in computer science × 30
- Communications in computer and information science × 10
- Advances in intelligent systems and computing × 5
- Information Sciences × 2
- International Multi-Conference on Organization of Knowledge and Advanced Technologies (OCTA) × 2
- Data Science and Knowledge Engineering for Sensing Decision Support × 2
المنشورات حسب السنة
- 20263
- 20233
- 20223
- 20214
- 20206
- 20197
- 201811
- 20175
- 20167
- 20157
التعاون العلمي
المؤسسات الشريكة : Tunis University · Institut Supérieur de Gestion de Tunis · Université Lille Nord de France · Université de Lille · Tunis El Manar University
بلدان المؤلفين المشاركين : تونس
المؤلفون المشاركون
- Safa Ben Ayed
- Ahmed Samet
- Asma Trabelsi
- Fares Grina
- Sabrine Mallek
- Malika Ben Khalifa
- Amel Ennaceur
- David Mercier
- Abderrahmane Chelouche
- Adnen El Amraoui
- Sadok Ben Yahia
- Zied Elouedi
البيانات البيبليوغرافية مصدرها OpenAlex (قاعدة مفتوحة).
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