Fuzzy Deep Learning for the Diagnosis of Alzheimer's Disease: Approaches and Challenges

M Tanveer, M Sajid, M Akhtar, A Quadir… - … on Fuzzy Systems, 2024 - ieeexplore.ieee.org
Alzheimer's disease (AD) is the leading neurodegenerative disorder and primary cause of
dementia. Researchers are increasingly drawn to automated diagnosis of AD using …

Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern

M Sajid, R Sharma, I Beheshti… - … : Data Mining and …, 2024 - Wiley Online Library
The timely identification of significant memory concern (SMC) is crucial for proactive
cognitive health management, especially in an aging population. Detecting SMC early …

Granular ball twin support vector machine

A Quadir, M Sajid, M Tanveer - IEEE Transactions on Neural …, 2024 - ieeexplore.ieee.org
Twin support vector machine (TSVM) is an emerging machine learning model with versatile
applicability in classification and regression endeavors. Nevertheless, TSVM confronts …

GB-RVFL: Fusion of randomized neural network and granular ball computing

M Sajid, A Quadir, M Tanveer… - Pattern Recognition, 2025 - Elsevier
The random vector functional link (RVFL) network is a prominent classification model with
strong generalization ability. However, RVFL treats all samples uniformly, ignoring whether …

[HTML][HTML] Bayesian learning of feature spaces for multitask regression

C Sevilla-Salcedo, A Gallardo-Antolín… - Neural Networks, 2024 - Elsevier
This paper introduces a novel approach to learn multi-task regression models with
constrained architecture complexity. The proposed model, named RFF-BLR, consists of a …

Multiview random vector functional link network for predicting DNA-binding proteins

A Quadir, M Sajid, M Tanveer - arXiv preprint arXiv:2409.02588, 2024 - arxiv.org
The identification of DNA-binding proteins (DBPs) is a critical task due to their significant
impact on various biological activities. Understanding the mechanisms underlying protein …

Fuzzyguard: a novel multimodal neuro-fuzzy framework for copd early diagnosis

S Kumar, AV Shvetsov… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Early detection is critical to effectively and efficiently managing Chronic Obstructive
Pulmonary Disease (COPD) and improving patient outcomes. To enhance early COPD …

Intuitionistic fuzzy broad learning system: Enhancing robustness against noise and outliers

M Sajid, AK Malik, M Tanveer - IEEE Transactions on Fuzzy …, 2024 - ieeexplore.ieee.org
In the realm of data classification, broad learning system (BLS) has proven to be a potent
tool that utilizes a layer-by-layer feed-forward neural network. However, the traditional BLS …

Wave-RVFL: A randomized neural network based on wave loss function

M Sajid, A Quadir, M Tanveer - arXiv preprint arXiv:2408.02824, 2024 - arxiv.org
The random vector functional link (RVFL) network is well-regarded for its strong
generalization capabilities in the field of machine learning. However, its inherent …

Boosted multilayer feedforward neural network with multiple output layers

H Aly, AK Al-Ali, PN Suganthan - Pattern Recognition, 2024 - Elsevier
This research introduces the Boosted Ensemble deep Multi-Layer Layer Perceptron
(EdMLP) architecture with multiple output layers, a novel enhancement for the traditional …