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researcher

Mostafa Mirshekari

3 papers here

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedChainCQG: Flow-Aware Conversational Question Generation

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

collaborators

3 papers

cs.AI2021★ 3 cited

ChainCQG: Flow-Aware Conversational Question Generation

Jing Gu, Mostafa Mirshekari, Zhou Yu +1

Conversational systems enable numerous valuable applications, and question-answering is an important component underlying many of these. However, conversational question-answering…

cs.LG2019

O-MedAL: Online Active Deep Learning for Medical Image Analysis

Asim Smailagic, Pedro Costa, Alex Gaudio +9

Active Learning methods create an optimized labeled training set from unlabeled data. We introduce a novel Online Active Deep Learning method for Medical Image Analysis. We extend…

cs.CV2018

MedAL: Deep Active Learning Sampling Method for Medical Image Analysis

Asim Smailagic, Hae Young Noh, Pedro Costa +6

Deep learning models have been successfully used in medical image analysis problems but they require a large amount of labeled images to obtain good performance.Deep learning model…

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