9 citations · 9 across the 6 of their papers we have counts for
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cs.LG2022
Semi-supervised Contrastive Outlier removal for Pseudo Expectation Maximization (SCOPE)
Sumeet Menon, David Chapman
Semi-supervised learning is the problem of training an accurate predictive model by combining a small labeled dataset with a presumably much larger unlabeled dataset. Many methods…
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…