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Shehroz S. Khan

KITE - University Health Network

17 papers hereh-index 253.7k citations64 works total

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

author position
  • first author7
  • middle author3
  • last author7

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • cs.CV5
  • cs.AI1
  • eess.IV1
  • eess.SP1
affiliations
  • KITE - University Health Network
Homepage
same name
  • Shehroz S. Khan — 20 papers, h 11
  • Shehroz S. Khan — 7 papers, h 6
  • Shehroz S. Khan — 3 papers, h 10
  • Shehroz S. Khan — 2 papers, h 3
  • Shehroz S. Khan — 2 papers, h 1
  • Shehroz S. Khan — 1 paper, h 1

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
20122023
most citedOne-Class Classification: Taxonomy of Study and Review of Techniques

614 citations · 1.3k across the 16 of their papers we have counts for

collaborators
Showing 2016Show all

3 papers · 1 filter

cs.CV2016★ 81 cited

Detecting Unseen Falls from Wearable Devices using Channel-wise Ensemble of Autoencoders

Shehroz S. Khan, Babak Taati

A fall is an abnormal activity that occurs rarely, so it is hard to collect real data for falls. It is, therefore, difficult to use supervised learning methods to automatically det…

cs.LG2016★ 214 cited

Review of Fall Detection Techniques: A Data Availability Perspective

Shehroz S. Khan, Jesse Hoey

A fall is an abnormal activity that occurs rarely; however, missing to identify falls can have serious health and safety implications on an individual. Due to the rarity of occurre…

cs.LG2016★ 2 cited

Relationship between Variants of One-Class Nearest Neighbours and Creating their Accurate Ensembles

Shehroz S. Khan, Amir Ahmad

In one-class classification problems, only the data for the target class is available, whereas the data for the non-target class may be completely absent. In this paper, we study o…

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