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Mohammed Eunus Ali

3 papers hereh-index 6764 citations11 works total

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

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.SP2
  • cs.LG1
same name
  • Mohammed Eunus Ali — 22 papers, h 22
  • Mohammed Eunus Ali — 8 papers, h 5
  • Mohammed Eunus Ali — 3 papers, h 4
  • Mohammed Eunus Ali — 2 papers, h 1
  • Mohammed Eunus Ali — 2 papers, h 2
  • Mohammed Eunus Ali — 1 paper, h 2

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

most citedReal-time Seismic Intensity Prediction using Self-supervised Contrastive GNN for Earthquake Early Warning

33 citations · 46 across the 3 of their papers we have counts for

collaborators

3 papers

eess.SP2023

Contrastive Self-Supervised Learning Based Approach for Patient Similarity: A Case Study on Atrial Fibrillation Detection from PPG Signal

Subangkar Karmaker Shanto, Shoumik Saha, Atif Hasan Rahman +2

In this paper, we propose a novel contrastive learning based deep learning framework for patient similarity search using physiological signals. We use a contrastive learning based…

eess.SP2023★ 33 cited

Real-time Seismic Intensity Prediction using Self-supervised Contrastive GNN for Earthquake Early Warning

Rafid Umayer Murshed, Kazi Noshin, Md. Anu Zakaria +3

Seismic intensity prediction from early or initial seismic waves received by a few seismic stations can enhance Earthquake Early Warning (EEW) systems, particularly in ground motio…

cs.LG2020★ 13 cited

BayesBeat: Reliable Atrial Fibrillation Detection from Noisy Photoplethysmography Data

Sarkar Snigdha Sarathi Das, Subangkar Karmaker Shanto, Masum Rahman +4

Smartwatches or fitness trackers have garnered a lot of popularity as potential health tracking devices due to their affordable and longitudinal monitoring capabilities. To further…

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