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Latifur Khan

4 papers hereh-index 457 citations17 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.IR1
same name
  • Latifur Khan — 5 papers, h 7
  • Latifur Khan — 4 papers, h 4
  • Latifur Khan — 2 papers, h 2
  • Latifur Khan — 2 papers, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedA Systematic Literature Review on Multi-label Data Stream Classification

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2025★ 1 cited

A Systematic Literature Review on Multi-label Data Stream Classification

H. Freire-Oliveira, E. R. F. Paiva, J. Gama +2

Classification in the context of multi-label data streams represents a challenge that has attracted significant attention due to its high real-world applicability. However, this ta…

cs.IR2025

Graph-Based Re-ranking in Information Retrieval and Beyond: A Survey

Md Shahir Zaoad, Niamat Zawad, Priyanka Ranade +1

The two-stage information retrieval (IR) framework, also known as the retrieve-then-re-rank pipeline, has empowered numerous AI paradigms, including retrieval-augmented generation…

cs.LG2024

Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness

Chen Zhao, Feng Mi, Xintao Wu +3

The fairness-aware online learning framework has emerged as a potent tool within the context of continuous lifelong learning. In this scenario, the learner's objective is to progre…

cs.LG2023

Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously

Chen Zhao, Kai Jiang, Xintao Wu +4

The endeavor to preserve the generalization of a fair and invariant classifier across domains, especially in the presence of distribution shifts, becomes a significant and intricat…

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