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Mahsa Ghorbani

7 papers hereh-index 7293 citations16 works total

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

author position
  • first author5
  • middle author2

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.CV1
  • cs.SI1
  • q-fin.MF1

identity via Semantic Scholar / OpenAlex

activity
20162022
most citedRA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data

113 citations · 171 across the 7 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

cs.LG2018★ 11 cited

Adversarial Classifier for Imbalanced Problems

Ehsan Montahaei, Mahsa Ghorbani, Mahdieh Soleymani Baghshah +1

Adversarial approach has been widely used for data generation in the last few years. However, this approach has not been extensively utilized for classifier training. In this paper…

cs.LG2018★ 36 cited

MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional Networks

Mahsa Ghorbani, Mahdieh Soleymani Baghshah, Hamid R. Rabiee

Graph embedding is an important approach for graph analysis tasks such as node classification and link prediction. The goal of graph embedding is to find a low dimensional represen…

q-fin.MF2018

Stock Price Prediction using Principle Components

Mahsa Ghorbani, Edwin K. P. Chong

The literature provides strong evidence that stock prices can be predicted from past price data. Principal component analysis (PCA) is a widely used mathematical technique for dime…

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