10 papers
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…
Deep Learning-Based Tracking and Lineage Reconstruction of Ligament Breakup
Vrushank Ahire, Vivek Kurumanghat, Mudasir Ganaie +1
The disintegration of liquid sheets into ligaments and droplets involves highly transient, multi-scale dynamics that are difficult to quantify from high-speed shadowgraphy images.…
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…
SFANet: Spatial-Frequency Attention Network for Deepfake Detection
Vrushank Ahire, Aniruddh Muley, Shivam Zample +4
Detecting manipulated media has now become a pressing issue with the recent rise of deepfakes. Most existing approaches fail to generalize across diverse datasets and generation te…