Evidential Hybrid Re-sampling for Multi-class Imbalanced Data

von Grina, Fares
Veröffentlicht in IPMU (19. : 2022 : Mailand) Information processing and management of uncertainty in knowledge-based systems ; Part 2 (2022)

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

von Grina, Fares
Veröffentlicht in MDAI (18. : 2021 : Online) Modeling Decisions for Artificial Intelligence (2021)

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

von Grina, Fares
Veröffentlicht in IDEAL (21. : 2020 : Online) Intelligent data engineering and automated learning - IDEAL 2020 ; Part 2 (2020)

Uncertainty-Aware Resampling Method for Imbalanced Classıfication Using Evidence Theory

von Grina, Fares
Veröffentlicht in ECSQARU (16. : 2021 : Prag) Symbolic and quantitative approaches to reasoning with uncertainty (2021)