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Farhan Shahriyar Haq

3 papers here

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

author position
  • middle author1
  • last author2

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

fields
  • cs.LG2
  • cs.CR1
ORCID 0000-0003-2120-4961

identity via Semantic Scholar / OpenAlex

most citedAn Empirical Analysis of the Efficacy of Different Sampling Techniques for Imbalanced Classification

7 citations · 8 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CR2024★ 1 cited

A Sophisticated Framework for the Accurate Detection of Phishing Websites

Asif Newaz, Farhan Shahriyar Haq, Nadim Ahmed

Phishing is an increasingly sophisticated form of cyberattack that is inflicting huge financial damage to corporations throughout the globe while also jeopardizing individuals' pri…

cs.LG2022★ 7 cited

An Empirical Analysis of the Efficacy of Different Sampling Techniques for Imbalanced Classification

Asif Newaz, Shahriar Hassan, Farhan Shahriyar Haq

Learning from imbalanced data is a challenging task. Standard classification algorithms tend to perform poorly when trained on imbalanced data. Some special strategies need to be a…

cs.LG2022

A Novel Hybrid Sampling Framework for Imbalanced Learning

Asif Newaz, Farhan Shahriyar Haq

Class imbalance is a frequently occurring scenario in classification tasks. Learning from imbalanced data poses a major challenge, which has instigated a lot of research in this ar…

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