Cover Image

GB-RVFL: Fusion of Randomized Neural Network and Granular Ball Computing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sajid, M., Quadir, A., Tanveer, M.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

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

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

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

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

Granular-Ball-Induced Multiple Kernel K-Means
by: Xia, Shuyin, et al.
Published: (2025)

Efficient Quantum Approximate $k$NN Algorithm via Granular-Ball Computing
by: Xia, Shuyin, et al.
Published: (2025)

GBSVR: Granular Ball Support Vector Regression
by: Rastogi, Reshma, et al.
Published: (2025)

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

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

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

Fuzzy Granule Density-Based Outlier Detection with Multi-Scale Granular Balls
by: Gao, Can, et al.
Published: (2025)

Advancing RVFL networks: Robust classification with the HawkEye loss function
by: Akhtar, Mushir, et al.
Published: (2024)

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

Multi-Granular Attention based Heterogeneous Hypergraph Neural Network
by: Jin, Hong, et al.
Published: (2025)

Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance Learning
by: Ganaie, M. A., et al.
Published: (2023)

GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
by: Zhao, Songwei, et al.
Published: (2025)

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

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

Layer Embedding Deep Fusion Graph Neural Network
by: Xu, Taihua, et al.
Published: (2026)

Interpretable Neural Networks with Random Constructive Algorithm
by: Nan, Jing, et al.
Published: (2023)

Emergence of Structure in Ensembles of Random Neural Networks
by: Muscarnera, Luca, et al.
Published: (2025)

Rethinking Optimal Verification Granularity for Compute-Efficient Test-Time Scaling
by: Chen, Hao Mark, et al.
Published: (2025)

GBFRS: Robust Fuzzy Rough Sets via Granular-ball Computing
by: Xia, Shuyin, et al.
Published: (2025)

EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning
by: Pei, Wenbin, et al.
Published: (2024)

Random-Set Graph Neural Networks
by: Woodley, Tommy, et al.
Published: (2026)

Graph Neural Networks with Feature and Structure Aware Random Walk
by: Zhuo, Wei, et al.
Published: (2021)

Gradient Routing: Masking Gradients to Localize Computation in Neural Networks
by: Cloud, Alex, et al.
Published: (2024)

RandomNet: Clustering Time Series Using Untrained Deep Neural Networks
by: Li, Xiaosheng, et al.
Published: (2024)

Provable Acceleration of Nesterov's Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks
by: Liu, Xin, et al.
Published: (2022)

Quasi-Random Physics-informed Neural Networks
by: Yu, Tianchi, et al.
Published: (2025)

Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks
by: Muschalik, Maximilian, et al.
Published: (2025)

Adversarial Attacks to Latent Representations of Distributed Neural Networks in Split Computing
by: Zhang, Milin, et al.
Published: (2023)

Neural Computers
by: Zhuge, Mingchen, et al.
Published: (2026)