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Jinman Kim

20 papers hereh-index 436.7k citations222 works total

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

author position
  • middle author4
  • last author15

Across the 19 of 20 papers where every author was matched, so the position is known.

fields
  • cs.CV14
  • cs.CL3
  • eess.IV3
same name
  • Jinman Kim — 10 papers, h 2
  • Jinman Kim — 8 papers, h 10
  • Jinman Kim — 8 papers, h 5
  • Jinman Kim — 5 papers, h 2
  • Jinman Kim — 4 papers, h 1
  • Jinman Kim — 3 papers

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
20172024
most citedAutomatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks

175 citations · 340 across the 16 of their papers we have counts for

collaborators
Showing cs.CLShow all

3 papers · 1 filter

cs.CL2021

Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT

Usman Naseem, Adam G. Dunn, Matloob Khushi +1

The availability of biomedical text data and advances in natural language processing (NLP) have made new applications in biomedical NLP possible. Language models trained or fine tu…

cs.CL2021

Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU

Usman Naseem, Matloob Khushi, Jinman Kim +1

Vaccines are an important public health measure, but vaccine hesitancy and refusal can create clusters of low vaccine coverage and reduce the effectiveness of vaccination programs.…

cs.CL2020★ 1 cited

BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition

Usman Naseem, Matloob Khushi, Vinay Reddy +3

In recent years, with the growing amount of biomedical documents, coupled with advancement in natural language processing algorithms, the research on biomedical named entity recogn…

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