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researcher

Mushir Akhtar

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG3
ORCID 0000-0002-5276-6935

identity via Semantic Scholar / OpenAlex

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

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2024

Enhancing Multiview Synergy: Robust Learning by Exploiting the Wave Loss Function with Consensus and Complementarity Principles

A. Quadir, Mushir Akhtar, M. Tanveer

Multiview learning (MvL) is an advancing domain in machine learning, leveraging multiple data perspectives to enhance model performance through view-consistency and view-discrepanc…

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…

cs.LG2023

Support matrix machine: A review

Anuradha Kumari, Mushir Akhtar, Rupal Shah +1

Support vector machine (SVM) is one of the most studied paradigms in the realm of machine learning for classification and regression problems. It relies on vectorized input data. H…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.