143 results on '"Lefèvre, Éric"'
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2. Evidential Generative Adversarial Networks for Handling Imbalanced Learning
3. 0-1 Combinatorial Optimization Problems with Qualitative and Uncertain Profits
4. Optimization problems with evidential linear objective
5. An ensemble classifier through rough set reducts for handling data with evidential attributes
6. Re-sampling of multi-class imbalanced data using belief function theory and ensemble learning
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
16. On Modelling and Solving the Shortest Path Problem with Evidential Weights
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
20. An evidential integrated method for maintaining case base and vocabulary containers within CBR systems
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
25. Decision tree classifiers for evidential attribute values and class labels
26. Evidential link prediction in social networks based on structural and social information
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
33. A study of uranium-ore agglomeration parameters and their implications during heap leaching
34. An integrated multiscale approach to heap leaching of uranium-ore agglomerates
35. The capacitated vehicle routing problem with evidential demands
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
43. Face pixel detection using evidential calibration and fusion
44. A multi-analytical approach to the study of uranium-ore agglomerate structure and porosity during heap leaching
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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