15 papers
RoBell-RVFL: A Robust Generalized Bell Random Vector Functional Link Network
A. Rahaman, A. Quadir, M. Tanveer
The dominance of majority classes in real-world datasets poses a fundamental challenge to randomized neural networks, often biasing decision boundaries and overlooking critical min…
A scalable edge-pass Purcell filter for high-fidelity readout of superconducting qubits
Xudong Liao, Yuan Li, Sainan Huai +11
High-fidelity readout with strong Purcell protection of qubit coherence is essential for scalable superconducting quantum processors, yet the finite passband and sizable footprint…
Uncertainty-Aware Ensemble Deep Randomized Neural Networks for Classification
M. Sajid, A. Quadir, A. Rahaman +2
The current state-of-the-art (SOTA) deep randomized neural networks, such as deep Random Vector Functional Link (dRVFL) and ensemble deep RVFL (edRVFL), treat all training samples…
Multiview Random Vector Functional Link Network for Predicting DNA-Binding Proteins
A. Quadir, M. Sajid, M. Tanveer
The identification of DNA-binding proteins (DBPs) is essential due to their significant impact on various biological activities. Understanding the mechanisms underlying protein-DNA…
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…
TRKM: Twin Restricted Kernel Machines for Classification and Regression
A. Quadir, M. Tanveer
Restricted kernel machines (RKMs) have considerably improved generalization in machine learning. Recent advancements explored various techniques within the RKM framework, integrati…