A Semi-supervised Learning Method for Automatic Nuclei Segmentation Using Generative Adversarial Networks

Studies in Computational Intelligence - Artificial Intelligence and Robotics ◽

10.1007/978-3-030-56178-9_4 ◽

2020 ◽

pp. 39-56

Author(s):

Chuanrui Hu ◽

Kai Cheng ◽

Jianhuo Shen ◽

Jianfei Liu ◽

Teng Li

Keyword(s):

Supervised Learning ◽

Generative Adversarial Networks ◽

Learning Method ◽

Nuclei Segmentation ◽

Adversarial Networks

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An imbalanced data learning method for tool breakage detection based on generative adversarial networks

Journal of Intelligent Manufacturing ◽

10.1007/s10845-021-01806-y ◽

2021 ◽

Author(s):

Shixu Sun ◽

Xiaofeng Hu ◽

Yingchao Liu

Keyword(s):

Imbalanced Data ◽

Generative Adversarial Networks ◽

Learning Method ◽

Tool Breakage ◽

Adversarial Networks ◽

Imbalanced Data Learning

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A model-based reinforcement learning method based on conditional generative adversarial networks

Pattern Recognition Letters ◽

10.1016/j.patrec.2021.08.019 ◽

2021 ◽

Vol 152 ◽

pp. 18-25

Author(s):

Tingting Zhao ◽

Ying Wang ◽

Guixi Li ◽

Le Kong ◽

Yarui Chen ◽

...

Keyword(s):

Reinforcement Learning ◽

Generative Adversarial Networks ◽

Learning Method ◽

Model Based ◽

Adversarial Networks

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Semi-supervised Learning with Generative Adversarial Networks for Arabic Dialect Identification

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2019.8682629 ◽

2019 ◽

Cited By ~ 4

Author(s):

Chunlei Zhang ◽

Qian Zhang ◽

John H.L. Hansen

Keyword(s):

Supervised Learning ◽

Generative Adversarial Networks ◽

Adversarial Networks

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Semi-Supervised Learning with Flexible Discriminator Objective in Generative Adversarial Networks Framework

2018 37th Chinese Control Conference (CCC) ◽

10.23919/chicc.2018.8483921 ◽

2018 ◽

Author(s):

Heng Guo ◽

Wenqing Wang ◽

Qifu Fan ◽

Zhengxin Weng

Keyword(s):

Supervised Learning ◽

Generative Adversarial Networks ◽

Adversarial Networks

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Semi-supervised learning with deep convolutional generative adversarial networks for canine red blood cells morphology classification

Multimedia Tools and Applications ◽

10.1007/s11042-020-08767-z ◽

2020 ◽

Vol 79 (45-46) ◽

pp. 34209-34226 ◽

Cited By ~ 4

Author(s):

Kitsuchart Pasupa ◽

Suchat Tungjitnob ◽

Supawit Vatathanavaro

Keyword(s):

Red Blood Cells ◽

Supervised Learning ◽

Blood Cells ◽

Generative Adversarial Networks ◽

Adversarial Networks

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Reg-Gan: Semi-Supervised Learning Based on Generative Adversarial Networks for Regression

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2018.8462534 ◽

2018 ◽

Cited By ~ 4

Author(s):

Mehdi Rezagholiradeh ◽

Md Akmal Haidar

Keyword(s):

Supervised Learning ◽

Generative Adversarial Networks ◽

Adversarial Networks

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Semi-Supervised Learning with Generative Adversarial Networks for Pathological Speech Classification

2020 31st Irish Signals and Systems Conference (ISSC) ◽

10.1109/issc49989.2020.9180211 ◽

2020 ◽

Cited By ~ 1

Author(s):

Nam H. Trinh ◽

Darragh O'Brien

Keyword(s):

Supervised Learning ◽

Generative Adversarial Networks ◽

Adversarial Networks ◽

Speech Classification

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Toward Fusing Domain Knowledge with Generative Adversarial Networks to Improve Supervised Learning for Medical Diagnoses

2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) ◽

10.1109/mipr.2019.00022 ◽

2019 ◽

Cited By ~ 1

Author(s):

Fu-Chieh Chang ◽

Jocelyn J. Chang ◽

Chun-Nan Chou ◽

Edward Y. Chang

Keyword(s):

Supervised Learning ◽

Domain Knowledge ◽

Generative Adversarial Networks ◽

Medical Diagnoses ◽

Adversarial Networks

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Active semi-supervised learning based on self-expressive correlation with generative adversarial networks

Neurocomputing ◽

10.1016/j.neucom.2019.01.083 ◽

2019 ◽

Vol 345 ◽

pp. 103-113 ◽

Cited By ~ 24

Author(s):

Xiao-Yu Zhang ◽

Haichao Shi ◽

Xiaobin Zhu ◽

Peng Li

Keyword(s):

Supervised Learning ◽

Generative Adversarial Networks ◽

Adversarial Networks

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Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation

2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) ◽

10.1109/isbi.2018.8363749 ◽

2018 ◽

Cited By ~ 23

Author(s):

Ali Madani ◽

Mehdi Moradi ◽

Alexandros Karargyris ◽

Tanveer Syeda-Mahmood

Keyword(s):

Supervised Learning ◽

Domain Adaptation ◽

Generative Adversarial Networks ◽

X Ray ◽

Adversarial Networks ◽

Chest X Ray

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