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S. Hussain

6 papers hereh-index 8761 citations14 works total

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

author position
  • middle author1
  • last author5

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

fields
  • cs.CV2
  • cond-mat.supr-con1
  • cs.CL1
  • cs.MM1
  • stat.ML1
same name
  • S. Hussain — 88 papers, h 47
  • S. Hussain — 35 papers, h 22
  • S. Hussain — 20 papers, h 21
  • S. Hussain — 18 papers, h 9
  • S. Hussain — 15 papers, h 17
  • S. Hussain — 10 papers, h 68

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
20172020
most citedDisorder raises the critical temperature of a cuprate superconductor

54 citations · 85 across the 5 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.CL2017

Sequence to Sequence Networks for Roman-Urdu to Urdu Transliteration

Mehreen Alam, Sibt ul Hussain

Neural Machine Translation models have replaced the conventional phrase based statistical translation methods since the former takes a generic, scalable, data-driven approach rathe…

stat.ML2017★ 1 cited

Intelligent EHRs: Predicting Procedure Codes From Diagnosis Codes

Hasham Ul Haq, Rameel Ahmad, Sibt Ul Hussain

In order to submit a claim to insurance companies, a doctor needs to code a patient encounter with both the diagnosis (ICDs) and procedures performed (CPTs) in an Electronic Health…

cs.MM2017★ 24 cited

End-to-end Trained CNN Encode-Decoder Networks for Image Steganography

Atique ur Rehman, Rafia Rahim, M Shahroz Nadeem +1

All the existing image steganography methods use manually crafted features to hide binary payloads into cover images. This leads to small payload capacity and image distortion. Her…

cs.CV2017★ 4 cited

Recovering Homography from Camera Captured Documents using Convolutional Neural Networks

Syed Ammar Abbas, Sibt ul Hussain

Removing perspective distortion from hand held camera captured document images is one of the primitive tasks in document analysis, but unfortunately, no such method exists that can…

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