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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
ArXivPDFHTML

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

3 / 3 papers shown
Title
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
22
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-wei Liu
Yang Liu
20
46
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
21
14
0
11 Nov 2021
1