36 citations · 104 across the 20 of their papers we have counts for
10 papers · 1 filter
Enhancing Robustness and Efficiency of Least Square Twin SVM via Granular Computing
M. Tanveer, R. K. Sharma, A. Quadir +1
In the domain of machine learning, least square twin support vector machine (LSTSVM) stands out as one of the state-of-the-art models. However, LSTSVM suffers from sensitivity to n…
Enhanced Feature Based Granular Ball Twin Support Vector Machine
A. Quadir, M. Sajid, M. Tanveer +1
In this paper, we propose enhanced feature based granular ball twin support vector machine (EF-GBTSVM). EF-GBTSVM employs the coarse granularity of granular balls (GBs) as input ra…
Granular Ball Twin Support Vector Machine
A. Quadir, M. Sajid, M. Tanveer
On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture ModelsTwin support vector machine (TSVM) is an emerging machine learning model wi…
GB-RVFL: Fusion of Randomized Neural Network and Granular Ball Computing
M. Sajid, A. Quadir, M. Tanveer
The random vector functional link (RVFL) network is a prominent classification model with strong generalization ability. However, RVFL treats all samples uniformly, ignoring whethe…
LSTMSE-Net: Long Short Term Speech Enhancement Network for Audio-visual Speech Enhancement
Arnav Jain, Jasmer Singh Sanjotra, Harshvardhan Choudhary +6
In this paper, we propose long short term memory speech enhancement network (LSTMSE-Net), an audio-visual speech enhancement (AVSE) method. This innovative method leverages the com…
GRVFL-MV: Graph Random Vector Functional Link Based on Multi-View Learning
M. Tanveer, R. K. Sharma, M. Sajid +1
The classification performance of the random vector functional link (RVFL), a randomized neural network, has been widely acknowledged. However, due to its shallow learning nature,…
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…
Wave-RVFL: A Randomized Neural Network Based on Wave Loss Function
M. Sajid, A. Quadir, M. Tanveer
The random vector functional link (RVFL) network is well-regarded for its strong generalization capabilities in the field of machine learning. However, its inherent dependencies on…
Ensemble Deep Random Vector Functional Link Neural Network Based on Fuzzy Inference System
M. Sajid, M. Tanveer, P. N. Suganthan
The ensemble deep random vector functional link (edRVFL) neural network has demonstrated the ability to address the limitations of conventional artificial neural networks. However,…
Decoding Cognitive Health Using Machine Learning: A Comprehensive Evaluation for Diagnosis of Significant Memory Concern
M. Sajid, Rahul Sharma, Iman Beheshti +1
The timely identification of significant memory concern (SMC) is crucial for proactive cognitive health management, especially in an aging population. Detecting SMC early enables t…