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143 results on '"Lefèvre, Éric"'

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1. Optimization Under Severe Uncertainty: a Generalized Minimax Regret Approach for Problems with Linear Objectives

3. 0-1 Combinatorial Optimization Problems with Qualitative and Uncertain Profits

7. Learning from Imbalanced Data Using an Evidential Undersampling-Based Ensemble

8. On Modelling and Solving the Shortest Path Problem with Evidential Weights

9. Evidential Hybrid Re-sampling for Multi-class Imbalanced Data

10. Evidential Spammers and Group Spammers Detection

11. An Extension of Specificity-Based Approximations to Other Belief Function Relations

12. Multiple Criteria Fake Reviews Detection Based on Spammers’ Indicators Within the Belief Function Theory

13. The Vehicle Routing Problem with Time Windows and Evidential Service and Travel Times: A Recourse Model

14. Uncertainty-Aware Resampling Method for Imbalanced Classification Using Evidence Theory

15. Evidential Undersampling Approach for Imbalanced Datasets with Class-Overlapping and Noise

17. Evidential Group Spammers Detection

18. Multiple Criteria Fake Reviews Detection Using Belief Function Theory

19. A Preprocessing Approach for Class-Imbalanced Data Using SMOTE and Belief Function Theory

21. Fake Reviews Detection Under Belief Function Framework

22. Toward the Evaluation of Case Base Maintenance Policies Under the Belief Function Theory

23. Spammers Detection Based on Reviewers’ Behaviors Under Belief Function Theory

24. CEVM: Constrained Evidential Vocabulary Maintenance Policy for CBR Systems

27. Ensemble Enhanced Evidential k-NN Classifier Through Rough Set Reducts

28. DETD: Dynamic Policy for Case Base Maintenance Based on EK-NNclus Algorithm and Case Types Detection

29. Exploiting Domain-Experts Knowledge Within an Evidential Process for Case Base Maintenance

30. Analytical Network Process Method Under the Belief Function Framework

31. Evidential Multi-relational Link Prediction Based on Social Content

32. CEC-Model: A New Competence Model for CBR Systems Based on the Belief Function Theory

36. Evidential Joint Calibration of Binary SVM Classifiers Using Logistic Regression

37. Qualitative AHP Method Based on Multiple Criteria Levels Under Group of Experts

38. Evidential k-NN for Link Prediction

39. Ensemble Enhanced Evidential k-NN Classifier Through Random Subspaces

40. A Recourse Approach for the Capacitated Vehicle Routing Problem with Evidential Demands

41. Evidential Link Prediction in Uncertain Social Networks Based on Node Attributes

42. A Novel k-NN Approach for Data with Uncertain Attribute Values

45. Evidential Missing Link Prediction in Uncertain Social Networks

46. Feature Selection from Partially Uncertain Data Within the Belief Function Framework

47. Belief Function Combination: Comparative Study Within the Classifier Fusion Framework

48. An Evidential Pixel-Based Face Blurring Approach

49. The Capacitated Vehicle Routing Problem with Evidential Demands: A Belief-Constrained Programming Approach

50. Handling Uncertain Attribute Values in Decision Tree Classifier Using the Belief Function Theory

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