Automatic correction of indirect bias in machine learning models

• 1. 基于预测的感应电机间接转子磁场定向偏差校正方法 [P] . 中国专利： CN107565866B . 2020.01.21
• 2. 基于预测的感应电机间接转子磁场定向偏差校正方法 [P] . 中国专利： CN107565866A . 2018-01-09
• 3. AUTOMATIC CORRECTION OF INDIRECT BIAS IN MACHINE LEARNING MODELS [P] . 美国专利： US2020134493A1 . 2020-04-30

  机译： 机器学习模型中间接偏向的自动校正

• 4. Machine learning model for automatic image registration quality assessment and correction [P] . 美国专利： US10679325B2 . 2020-06-09

  机译： 用于自动图像配准质量评估和校正的机器学习模型

• 5. MACHINE LEARNING MODEL FOR AUTOMATIC IMAGE REGISTRATION QUALITY ASSESSMENT AND CORRECTION [P] . 美国专利： US2020013141A1 . 2020-01-09

  机译： 自动图像配准质量评估和校正的机器学习模型

• 1. Applying deep learning and benchmark machine learning algorithms for landslide susceptibility modelling in Rorachu river basin of Sikkim Himalaya, India [J] . Kanu Mandal, Sunil Saha, Sujit Mandal 地学前缘(英文版) . 2021,第005期
• 2. Flood susceptibility modelling using advanced ensemble machine learning models [J] . Abu Reza Md Towfiqul Islam, Swapan Talukdar, Susanta Mahato, 地学前缘(英文版) . 2021,第003期
• 3. Gully erosion spatial modelling:Role of machine learning algorithms in selection of the best controlling factors and modelling process [J] . Hamid Reza Pourghasemi, Nitheshnirmal Sadhasivam, Narges Kariminejad, 地学前缘(英文版) . 2020,第006期
• 4. End-to-end differentiable learning of turbulence models from indirect observations [J] . Carlos A.Michelén Str?fer, Heng Xiao 力学快报(英文版) . 2021,第004期
• 5. Etch Proximity Correction through Machine-Learning-Driven Etch Bias Model [C] . Seongbo Shim, Youngsoo Shin Advanced etch technology for nanopatterning V . 2016
• 6. Prognostic biomarker detection, machine learning bias correction, and differential coexpression module detection. [D] . Ding, Ying. 2014
• 7. Bias correction for selecting the minimal-error classifier from many machine learning models [O] . Ying Ding, Shaowu Tang, Serena G. Liao, -1
• 8. Bias correction of global climate model using machine learning algorithms to determine meteorological variables in different tropical climates of Indonesia [O] . Juan Nathaniel 2020
• 9. Estimation and Bias Correction of Aerosol Abundance using Data-driven Machine Learning and Remote Sensing. [R] . Malakar, N. K., Lary, D. L., Moore, A., 2012

• 1. A Deep Learning Method for Bias Correction of ECMWF 24–240 h Forecasts [J] . Lei HAN ,Mingxuan CHEN ,Kangkai CHEN . 大气科学进展:英文版 . 2021,第9期
• 2. 线性二次型最优调节器在自动导向车偏差校正系统中的应用 [C] . 任永益 . 中国航空学会控制理论与应用 . 1995
• 3. 浅谈单簧管音准偏差的成因及校正方法 [A] . 孙阅博 . 2019