6 papers
XGRVFL-MV: Residual-Coupled Graph-Embedded Multi-View Random Vector Functional Link Network with FleXi Guardian Loss
Yogesh Kumar, Mudasir Ganaie
Random Vector Functional Link (RVFL) networks provide an efficient randomized learning framework for classification. Existing multi-view RVFL methods utilize complementary informat…
Graph-Embedded Intuitionistic Fuzzy Broad Learning System: A Multi-view Framework
Yogesh Kumar, Manju, Mudasir Ganaie
The Broad Learning System (BLS) has been widely used for data classification and is based on a layer-by-layer feed-forward structure. However, it gives the same importance to all d…
Intuitionistic Fuzzy Graph Embedded Random Vector Functional Link with Multiview Learning
Vrushank Ahire, Yogesh Kumar, M. A. Ganaie
Random Vector Functional Link (RVFL) networks are popular due to their fast training and universal approximation capabilities. However, RVFL models face challenges in preserving ge…
Graph-Guided Universum Learning in Generalized Eigenvalue Proximal SVMs for Alzheimer's Disease Classification
Yogesh Kumar, Vrushank Ahire, Mudasir Ganaie
Early and accurate detection of Alzheimer's disease (AD) is important for timely intervention and disease management. Generalized Eigenvalue Proximal Support Vector Machine (GEPSVM…
MINT: Multimodal Imaging-to-Speech Knowledge Transfer for Early Alzheimer's Screening
Vrushank Ahire, Yogesh Kumar, Anouck Girard +1
Alzheimer's disease is a progressive neurodegenerative disorder in which mild cognitive impairment (MCI) marks a critical transition between aging and dementia. Neuroimaging modali…
A Unified Framework for EEG Seizure Detection Using Universum-Integrated Generalized Eigenvalues Proximal Support Vector Machine
Yogesh Kumar, Vrushank Ahire, M. A. Ganaie
The paper presents novel Universum-enhanced classifiers: the Universum Generalized Eigenvalue Proximal Support Vector Machine (U-GEPSVM) and the Improved U-GEPSVM (IU-GEPSVM) for E…