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Weifang Medical University

China

2 papers here16 citations across 2
fields
  • cs.LG1
  • physics.med-ph1
ROR 03tmp6662OpenAlex

affiliations via OpenAlex

most citedImbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost

15 citations

researchers with a paper here
  • Chengyuan Deng1 · h 8
  • Chen Wang1 · h 3
  • Hong Kong1 · h 2
  • Jianping Xu1 · h 1
  • Kannie W. Y. Chan1 · h 35
  • Suzhen Wang1 · h 8
  • Tao Zu1 · h 4
  • Xiaoli Wang1 · h 3
  • Yi-Cheng Hsu1 · h 17
collaborating institutions
  • City University of Hong KongHK1 paper
  • Rutgers, The State University of New JerseyUS1 paper
  • Siemens (China)CN1 paper
  • Zhejiang UniversityCN1 paper

2 papers

physics.med-ph2022★ 1 cited

Accelerating Chemical Exchange Saturation Transfer Imaging Using a Model-based Deep Neural Network With Synthetic Training Data

Jianping Xu, Tao Zu, Yi-Cheng Hsu +3

Purpose: To develop a model-based deep neural network for high-quality image reconstruction of undersampled multi-coil chemical exchange saturation transfer (CEST) data. Theory and…

cs.LG2019★ 15 cited

Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost

Chen Wang, Chengyuan Deng, Suzhen Wang

The paper presents Imbalance-XGBoost, a Python package that combines the powerful XGBoost software with weighted and focal losses to tackle binary label-imbalanced classification t…

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