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Revisiting Data Complexity Metrics Based on Morphology for Overlap and
  Imbalance: Snapshot, New Overlap Number of Balls Metrics and Singular
  Problems Prospect

Revisiting Data Complexity Metrics Based on Morphology for Overlap and Imbalance: Snapshot, New Overlap Number of Balls Metrics and Singular Problems Prospect

15 July 2020
José Daniel Pascual-Triana
D. Charte
Marta Andrés Arroyo
Alberto Fernández
Francisco Herrera
ArXiv (abs)PDFHTML

Papers citing "Revisiting Data Complexity Metrics Based on Morphology for Overlap and Imbalance: Snapshot, New Overlap Number of Balls Metrics and Singular Problems Prospect"

6 / 6 papers shown
Title
iCost: A Novel Instance Complexity Based Cost-Sensitive Learning
  Framework
iCost: A Novel Instance Complexity Based Cost-Sensitive Learning Framework
Asif Newaz
Asif Ur Rahman Adib
T. Jabid
21
0
0
19 Sep 2024
Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based
  Undersampling Method for Bias Reduction
Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based Undersampling Method for Bias Reduction
José Daniel Pascual-Triana
Alberto Fernández
Paulo Novais
Francisco Herrera
47
0
0
19 Jul 2024
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A
  Data-Morphology-based Counterfactual Generation Method for Trustworthy
  Artificial Intelligence
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A Data-Morphology-based Counterfactual Generation Method for Trustworthy Artificial Intelligence
José Daniel Pascual-Triana
Alberto Fernández
Javier Del Ser
Francisco Herrera
78
1
0
20 May 2024
Dataset Complexity Assessment Based on Cumulative Maximum Scaled Area
  Under Laplacian Spectrum
Dataset Complexity Assessment Based on Cumulative Maximum Scaled Area Under Laplacian Spectrum
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
43
6
0
29 Sep 2022
Multi-granularity Relabeled Under-sampling Algorithm for Imbalanced Data
Multi-granularity Relabeled Under-sampling Algorithm for Imbalanced Data
Qi Dai
Jian Liu
Yang Liu
135
48
0
11 Jan 2022
Reducing Data Complexity using Autoencoders with Class-informed Loss
  Functions
Reducing Data Complexity using Autoencoders with Class-informed Loss Functions
D. Charte
F. Charte
Francisco Herrera
52
14
0
11 Nov 2021
1