Subject

Subjects : Data imbalance

  • Articles (11)
  • Patents (0)
  • R&D Reports (0)
논문 검색결과
Type Year Title Cited Download
Journal 2024 Predicting Startup Success using Two Bias-Free Machine Learning: Resolving Data Imbalance using Generative Adversarial Networks   Park Jungryeol  JOURNAL OF BIG DATA, v.11, pp.1-20 6 원문
Conference 2024 A Study on Solving the Data Imbalance Problem for Detecting Heunginjimun Roof Tilt Using Transfer Learning Algorithms   Lee Sang Yun  International Conference on Artificial Intelligence in Information and Communication (ICAIIC) 2024, pp.221-225
Journal 2023 A precision-centric approach to overcoming data imbalance and non-IIDness in federated learning   Anam Nawaz Khan  INTERNET OF THINGS, v.23, pp.1-19 16 원문
Conference 2023 Handling Data Imbalance for Improving Blurriness Estimation using Convolutional Transformer   Lee Hyun Yong  International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC) 2023, pp.1019-1024 0 원문
Journal 2023 An Enhanced AI-Based Network Intrusion Detection System Using Generative Adversarial Networks   Park Cheolhee  IEEE Internet of Things Journal, v.10, no.3, pp.2330-2345 205 원문
Journal 2022 Imbalanced Classification via Feature Dictionary-based Minority Oversampling   Park Minho  IEEE Access, v.10, pp.34236-34245 7 원문
Conference 2021 Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space   김범수  Asian Conference on Machine Learning (ACML) 2021, pp.1-12
Conference 2021 Deep Heart Rate Estimator Considering Data Imbalance for Video-based Photoplethysmography   Leejunseong  대한전자공학회 학술 대회 (하계) 2021, pp.2557-2560
Conference 2020 Enhancing Environmental Data Forecasting Performance by Utilizing Multi-region Data with Hard-parameter sharing   Jang-Ho Choi  International Conference on Internet (ICONI) 2020, pp.1-3
Journal 2020 Uniformly Interpolated Balancing for Robust Prediction in Translation Quality Estimation   Kim Hyun  ACM Transactions on Asian and Low-Resource Language Information Processing, v.19, no.3, pp.1-27 1 원문
Conference 2019 Modelling Chlorophyll-a Concentration using Deep Neural Networks considering Extreme Data Imbalance and Skewness   Jang-Ho Choi  International Conference on Advanced Communications Technology (ICACT) 2019, pp.631-634 34 원문
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연구보고서 검색결과
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