6 citations · 10 across the 16 of their papers we have counts for
9 papers · 1 filter
Twin Restricted Kernel Machines for Multiview Classification
A. Quadir, M. Sajid, Mushir Akhtar +1
Multi-view learning (MVL) is an emerging field in machine learning that focuses on improving generalization performance by leveraging complementary information from multiple perspe…
RVFL-X: A Novel Randomized Network Based on Complex Transformed Real-Valued Tabular Datasets
M. Sajid, Mushir Akhtar, A. Quadir +1
Recent advancements in neural networks, supported by foundational theoretical insights, emphasize the superior representational power of complex numbers. However, their adoption in…
R^2VFL: A Robust Random Vector Functional Link Network with Huber-Weighted Framework
Anuradha Kumari, Mushir Akhtar, P. N. Suganthan +1
The random vector functional link (RVFL) neural network has shown significant potential in overcoming the constraints of traditional artificial neural networks, such as excessive c…
CI-RKM: A Class-Informed Approach to Robust Restricted Kernel Machines
Ritik Mishra, Mushir Akhtar, M. Tanveer
Restricted kernel machines (RKMs) represent a versatile and powerful framework within the kernel machine family, leveraging conjugate feature duality to address a wide range of mac…
Enhancing Imbalance Learning: A Novel Slack-Factor Fuzzy SVM Approach
M. Tanveer, Anushka Tiwari, Mushir Akhtar +1
In real-world applications, class-imbalanced datasets pose significant challenges for machine learning algorithms, such as support vector machines (SVMs), particularly in effective…
Flexi-Fuzz least squares SVM for Alzheimer's diagnosis: Tackling noise, outliers, and class imbalance
Mushir Akhtar, A. Quadir, M. Tanveer +1
Alzheimer's disease (AD) is a leading neurodegenerative condition and the primary cause of dementia, characterized by progressive cognitive decline and memory loss. Its progression…