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Usama Sardar

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.LG1
  • eess.IV1
  • q-bio.BM1
ORCID 0000-0002-9274-3797

identity via Semantic Scholar / OpenAlex

most citedRobust Brain Age Estimation via Regression Models and MRI-derived Features

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

q-bio.BM2023

Sequence-Based Nanobody-Antigen Binding Prediction

Usama Sardar, Sarwan Ali, Muhammad Sohaib Ayub +4

Nanobodies (Nb) are monomeric heavy-chain fragments derived from heavy-chain only antibodies naturally found in Camelids and Sharks. Their considerably small size (~3-4 nm; 13 kDa)…

eess.IV2023★ 1 cited

Robust Brain Age Estimation via Regression Models and MRI-derived Features

Mansoor Ahmed, Usama Sardar, Sarwan Ali +3

The determination of biological brain age is a crucial biomarker in the assessment of neurological disorders and understanding of the morphological changes that occur during aging.…

cs.LG2023

BioSequence2Vec: Efficient Embedding Generation For Biological Sequences

Sarwan Ali, Usama Sardar, Murray Patterson +1

Representation learning is an important step in the machine learning pipeline. Given the current biological sequencing data volume, learning an explicit representation is prohibiti…

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