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20232026
most citedRoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised Learning

42 citations · 84 across the 10 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.LG2024

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…

cs.LG2024★ 1 cited

Advancing RVFL networks: Robust classification with the HawkEye loss function

Mushir Akhtar, Ritik Mishra, M. Tanveer +1

Random vector functional link (RVFL), a variant of single-layer feedforward neural network (SLFN), has garnered significant attention due to its lower computational cost and robust…

cs.LG2024★ 1 cited

GL-TSVM: A robust and smooth twin support vector machine with guardian loss function

Mushir Akhtar, M. Tanveer, Mohd. Arshad

Twin support vector machine (TSVM), a variant of support vector machine (SVM), has garnered significant attention due to its times lower computational complexity compared to…

cs.LG2024★ 38 cited

Advancing Supervised Learning with the Wave Loss Function: A Robust and Smooth Approach

Mushir Akhtar, M. Tanveer, Mohd. Arshad

Loss function plays a vital role in supervised learning frameworks. The selection of the appropriate loss function holds the potential to have a substantial impact on the proficien…

cs.LG2024★ 2 cited

HawkEye: Advancing Robust Regression with Bounded, Smooth, and Insensitive Loss Function

Mushir Akhtar, M. Tanveer, Mohd. Arshad

Support vector regression (SVR) has garnered significant popularity over the past two decades owing to its wide range of applications across various fields. Despite its versatility…