ARCHIVES

1. 1
Hybrid Soft Computing Techniques for Complex Problem Solving. Hilaris Publisher.
2. 3
Imbalanced Data Problem in Machine Learning: A Review. IEEE Access.
3. 4
A Comprehensive Survey on Imbalanced Data Learning. ResearchGate.
4. 5
Fuzzy and Pattern Approaches for Imbalanced Databases. MDPI Applied Sciences.
5. 12
Improved Slack-Factor-Based Fuzzy Support Vector Machine. arXiv.
6. 29
Fuzzy Gravitational Classifier for Classifying Imbalanced Datasets. ResearchGate.
7. 18
Relative density-based intuitionistic fuzzy support vector machine. PMC.
8. 8
Evolutionary under sampling for imbalanced big data classification. IEEE.
9. 24
Selective Evolutionary Heterogeneous Ensemble (SEHE). AIMS Press.
10. 23
Evolutionary feature selection for imbalanced data. IEEE Xplore.
11. 19
The classification of imbalanced data using evolutionary under sampling. ICCS.
12. 9
Evolutionary under sampling for classification with imbalanced datasets. Evolutionary Computation.
13. 6
Robust Training of Neural Networks with Noisy Labels. NeurIPS.
14. 7
Learning from Noisy Labels with Deep Neural Networks: A Survey. arXiv.15. 20
multi-label classification with imbalanced and noisy labels. AAAI.
16. 13
CRUST: Coreset Selection for Robust Training. NeurIPS.
17. 2
Hybrid soft computing techniques for complex problem solving. Hilaris Publisher.
18. 26
Hybrid Classifier Ensemble for Imbalanced Data. IEEE Transactions on Neural Networks.
19. 21
Fault Detection and Diagnosis with Imbalanced and Noisy Data. MDPI.
20. 10
Improved Hybrid Bag-Boost Ensemble With K-Means-SMOTE–ENN. The Computer Journal.
21. 32
Fuzzy Logic Part to tune mutation size in EA. PMC.
22. 15
Under-Sampling with imbalanced data sets: Evolutionary approach. KEEL.
23. 8
MapReduce for Evolutionary Under sampling. University of Granada.
24. 14
Evolutionary Fuzzy Systems for Imbalanced Classification. University of Granada.
25. 17
GWO-FNN: Grey Wolf Optimizer utilized Fuzzy Neural Network. MDPI Mathematics.
26. 28
Neuro Deep Fuzzy Genetic Algorithm Approach for Brain Tumor. ICTACT Journal.
27. 25
Evolutionary computation parameters survey. PMC.
28. 33
Degree-Balanced Under sampling Strategy. PNAS.
29. 11
Oversampling and Under sampling Framework. PMC.
30. 34
Evolutionary Under sampling Taxonomy. KEEL Workshop.
31. 16
Large Language Models for Imbalanced Classification (ImbLLM). arXiv.
32. 30
Diversity in LLM-based Oversampling. ResearchGate.
33. 31
Quantum soft computing for imbalanced data analysis. CEUR-WS.
34. 35
Leveraging Quantum Machine Learning to Address Class Imbalance. ResearchGate.
35. 36
Variational Quantum Classifier for Imbalance. MDPI Symmetry.
36. 27
Quantum-based oversampling method (QOSM). PMC.
37. 22
Generative Oversampling for Mining Imbalanced Data. Semantic Scholar.Works cited
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