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researcher

Y. Yesha

10 papers hereh-index 365.2k citations265 works total

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

author position
  • middle author7
  • last author3

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CR3
  • cs.LG3
  • eess.IV2
  • cs.CL1
  • q-bio.QM1
same name
  • Y. Yesha — 3 papers, h 23
  • Y. Yesha — 2 papers, h 5

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
20192024
most citedDeep Expectation-Maximization for Semi-Supervised Lung Cancer Screening

9 citations · 10 across the 9 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2023★ 1 cited

Soft Merging: A Flexible and Robust Soft Model Merging Approach for Enhanced Neural Network Performance

Hao Chen, Yusen Wu, Phuong Nguyen +2

Stochastic Gradient Descent (SGD), a widely used optimization algorithm in deep learning, is often limited to converging to local optima due to the non-convex nature of the problem…

cs.LG2020★ 9 cited

Deep Expectation-Maximization for Semi-Supervised Lung Cancer Screening

Sumeet Menon, David Chapman, Phuong Nguyen +3

We present a semi-supervised algorithm for lung cancer screening in which a 3D Convolutional Neural Network (CNN) is trained using the Expectation-Maximization (EM) meta-algorithm.…

cs.LG2020

Generating Realistic COVID19 X-rays with a Mean Teacher + Transfer Learning GAN

Sumeet Menon, Joshua Galita, David Chapman +7

COVID-19 is a novel infectious disease responsible for over 800K deaths worldwide as of August 2020. The need for rapid testing is a high priority and alternative testing strategie…

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