Cover Image

Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ganaie, M. A., Sajid, M., Malik, A. K., Tanveer, M.
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Intuitionistic Fuzzy Generalized Eigenvalue Proximal Support Vector Machine
by: Quadir, A., et al.
Published: (2024)

Intuitionistic Fuzzy Broad Learning System: Enhancing Robustness Against Noise and Outliers
by: Sajid, M., et al.
Published: (2023)

Ensemble Deep Random Vector Functional Link Neural Network Based on Fuzzy Inference System
by: Sajid, M., et al.
Published: (2024)

GRVFL-MV: Graph Random Vector Functional Link Based on Multi-View Learning
by: Tanveer, M., et al.
Published: (2024)

Multiview Random Vector Functional Link Network for Predicting DNA-Binding Proteins
by: Quadir, A., et al.
Published: (2024)

Wave-RVFL: A Randomized Neural Network Based on Wave Loss Function
by: Sajid, M., et al.
Published: (2024)

GB-RVFL: Fusion of Randomized Neural Network and Granular Ball Computing
by: Sajid, M., et al.
Published: (2024)

Granular Ball Twin Support Vector Machine
by: Quadir, A., et al.
Published: (2024)

One Class Restricted Kernel Machines
by: Quadir, A., et al.
Published: (2025)

Robust Universum Twin Support Vector Machine for Imbalanced Data
by: Tanveer, M., et al.
Published: (2024)

Granular Ball K-Class Twin Support Vector Classifier
by: Ganaie, M. A., et al.
Published: (2024)

R^2VFL: A Robust Random Vector Functional Link Network with Huber-Weighted Framework
by: Kumari, Anuradha, et al.
Published: (2025)

Granular Ball Twin Support Vector Machine with Universum Data
by: Ganaie, M. A., et al.
Published: (2024)

RVFL-X: A Novel Randomized Network Based on Complex Transformed Real-Valued Tabular Datasets
by: Sajid, M., et al.
Published: (2025)

Enhanced Feature Based Granular Ball Twin Support Vector Machine
by: Quadir, A., et al.
Published: (2024)

Enhancing Imbalance Learning: A Novel Slack-Factor Fuzzy SVM Approach
by: Tanveer, M., et al.
Published: (2024)

A Unified Framework for EEG Seizure Detection Using Universum-Integrated Generalized Eigenvalues Proximal Support Vector Machine
by: Kumar, Yogesh, et al.
Published: (2025)

CAWI: Copula-Aligned Weight Initialization for Randomized Neural Networks
by: Akhtar, Mushir, et al.
Published: (2026)

A Novel Framework using Intuitionistic Fuzzy Logic with U-Net and U-Net++ Architecture: A case Study of MRI Bain Image Segmentation
by: Verma, Hanuman, et al.
Published: (2026)

Hypergraph Neural Network with State Space Models for Node Classification
by: Quadir, A., et al.
Published: (2025)

Enhancing Robustness and Efficiency of Least Square Twin SVM via Granular Computing
by: Tanveer, M., et al.
Published: (2024)

Twin Restricted Kernel Machines for Multiview Classification
by: Quadir, A., et al.
Published: (2025)

Decoding Cognitive Health Using Machine Learning: A Comprehensive Evaluation for Diagnosis of Significant Memory Concern
by: Sajid, M., et al.
Published: (2024)

Methods for Class-Imbalanced Learning with Support Vector Machines: A Review and an Empirical Evaluation
by: Rezvani, Salim, et al.
Published: (2024)

Random Vector Functional Link Networks for Function Approximation on Manifolds
by: Needell, Deanna, et al.
Published: (2020)

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift
by: Hu, Songqiao, et al.
Published: (2025)

Class-Imbalanced Graph Learning without Class Rebalancing
by: Liu, Zhining, et al.
Published: (2023)

Enhancing Multiview Synergy: Robust Learning by Exploiting the Wave Loss Function with Consensus and Complementarity Principles
by: Quadir, A., et al.
Published: (2024)

Randomized based restricted kernel machine for hyperspectral image classification
by: Quadir, A., et al.
Published: (2025)

GRACE: Graph Neural Networks for Locus-of-Care Prediction under Extreme Class Imbalance
by: Kumar, Subham, et al.
Published: (2025)

Skew-Probabilistic Neural Networks for Learning from Imbalanced Data
by: Naik, Shraddha M., et al.
Published: (2023)

On the Impact of Class Imbalance on the Learning Dynamics of Deep Neural Networks:An Intuitive Insight
by: Mustapha, Ismail B., et al.
Published: (2026)

Advancing Supervised Learning with the Wave Loss Function: A Robust and Smooth Approach
by: Akhtar, Mushir, et al.
Published: (2024)

CI-RKM: A Class-Informed Approach to Robust Restricted Kernel Machines
by: Mishra, Ritik, et al.
Published: (2025)

RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised Learning
by: Akhtar, Mushir, et al.
Published: (2023)

Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks
by: Ma, Rongrong, et al.
Published: (2024)

Efficient uniform approximation using Random Vector Functional Link networks
by: Salanevich, Palina, et al.
Published: (2023)

Multi-Class Imbalanced Learning with Support Vector Machines via Differential Evolution
by: Zhang, Zhong-Liang, et al.
Published: (2025)

Multiview learning with twin parametric margin SVM
by: Quadir, A., et al.
Published: (2024)

TRKM: Twin Restricted Kernel Machines for Classification and Regression
by: Quadir, A., et al.
Published: (2025)