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researcher

A. Sekh

6 papers hereh-index 12759 citations73 works total

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

author position
  • first author1
  • middle author3
  • last author2

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • eess.IV2
  • cs.CV1
  • q-bio.PE1

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedNeural network based country wise risk prediction of COVID-19

120 citations · 190 across the 6 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

eess.IV2020★ 2 cited

Simulation-supervised deep learning for analysing organelles states and behaviour in living cells

Arif Ahmed Sekh, Ida S. Opstad, Rohit Agarwal +5

In many real-world scientific problems, generating ground truth (GT) for supervised learning is almost impossible. The causes include limitations imposed by scientific instrument,…

cs.LG2020★ 1 cited

Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs

Rohit Agarwal, Arif Ahmed Sekh, Krishna Agarwal +1

Streaming classification methods assume the number of input features is fixed and always received. But in many real-world scenarios demand is some input features are reliable while…

q-bio.PE2020★ 120 cited

Neural network based country wise risk prediction of COVID-19

Ratnabali Pal, Arif Ahmed Sekh, Samarjit Kar +1

The recent worldwide outbreak of the novel coronavirus (COVID-19) has opened up new challenges to the research community. Artificial intelligence (AI) driven methods can be useful…

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