Distance mapping overlap complexity metric for class-imbalance problems

No abstract is available for this paper.

• Publication year

  2024

• Venue

  Applied Soft Computing

• Publication date

  2024-06-01

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1016/j.asoc.2024.111904
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• M-MultiSVM: An efficient feature selection assisted network intrusion detection system using machine learning

  2023cited by this paper
• Investigating the Performance of Data Complexity & Instance Hardness Measures as A Meta-Feature in Overlapping Classes Problem

  2023cited by this paper
• A Robust Oversampling Approach for Class Imbalance Problem With Small Disjuncts

  2023cited by this paper
• Similarity learning-based fault detection and diagnosis in building HVAC systems with limited labeled data

  2023cited by this paper
• A dynamic spectrum loss generative adversarial network for intelligent fault diagnosis with imbalanced data

  2023cited by this paper
• Sampling technique for noisy and borderline examples problem in imbalanced classification

  2023cited by this paper
• An overlapping oriented imbalanced ensemble learning algorithm with weighted projection clustering grouping and consistent fuzzy sample transformation

  2023cited by this paper
• Class-overlap undersampling based on Schur decomposition for Class-imbalance problems

  2023cited by this paper
• Quantum Fruit Fly algorithm and ResNet50-VGG16 for medical diagnosis

  2023cited by this paper
• DUEN: Dynamic ensemble handling class imbalance in network intrusion detection

  2023cited by this paper
• A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework

  2022cited by this paper
• Neighborhood representative for improving outlier detectors

  2022cited by this paper
• AutoML technologies for the identification of sparse classification and outlier detection models

  2022cited by this paper
• The effects of data balancing approaches: A case study

  2022cited by this paper
• BiLSTM deep neural network model for imbalanced medical data of IoT systems

  2022cited by this paper
• Distance-based arranging oversampling technique for imbalanced data

  2022cited by this paper
• Multi-granularity Relabeled Under-sampling Algorithm for Imbalanced Data

  2022cited by this paper
• On the joint-effect of class imbalance and overlap: a critical review

  2022cited by this paper
• Class-imbalanced positive instances augmentation via three-line hybrid

  2022cited by this paper
• A review of methods for imbalanced multi-label classification

  2021cited by this paper
• Comprehensive Comparative Study of Multi-Label Classification Methods

  2021cited by this paper
• Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions.

  2021cited by this paper
• Weighted k‐nearest neighbor based data complexity metrics for imbalanced datasets

  2020cited by this paper
• Revisiting data complexity metrics based on morphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect

  2020cited by this paper
• A novel density-based adaptive k nearest neighbor method for dealing with overlapping problem in imbalanced datasets

  2020cited by this paper
• Neighbourhood-based undersampling approach for handling imbalanced and overlapped data

  2020cited by this paper
• Pearson Correlation Coefficient

  2020cited by this paper
• Classification of Imbalanced Data with a Geometric Digraph Family

  2019cited by this paper
• Multi-Imbalance: An open-source software for multi-class imbalance learning

  2019cited by this paper
• Bayes Imbalance Impact Index: A Measure of Class Imbalanced Data Set for Classification Problem

  2019cited by this paper
• How Complex Is Your Classification Problem?

  2018cited by this paper
• Multi-view learning overview: Recent progress and new challenges

  2017cited by this paper
• An instance level analysis of data complexity

  2014cited by this paper
• Measurement of data complexity for classification problems with unbalanced data

  2014cited by this paper
• Analysis of data complexity measures for classification

  2013cited by this paper
• Scikit-learn: Machine Learning in Python

  2011cited by this paper
• Learning from Imbalanced Data

  2009cited by this paper
• On the k-NN performance in a challenging scenario of imbalance and overlapping

  2008cited by this paper
• Support-vector networks

  2004cited by this paper
• Induction of decision trees

  2004cited by this paper
• Complexity Measures of Supervised Classification Problems

  2002cited by this paper
• Greedy function approximation: A gradient boosting machine.

  2001cited by this paper
• The Mahalanobis distance

  2000cited by this paper
• Multilayer feedforward networks are universal approximators

  1989cited by this paper
• Euclidean distance mapping

  1980cited by this paper

• An overlap-extended fuzzy rough self-information measure for feature selection and imbalanced data classification

  2026cites this paper
• Discriminative distance metric learning via class-center guidance

  2025cites this paper
• Class-imbalanced gas thermal image detection in manufacturing using thermal region masking and density-based reweighting

  2025cites this paper