Novel Space Projection Interpolation Based Virtual Sample Generation for Solving the Small Data Problem in Developing Soft Sensor

Decomposition-based Bayesian network structure learning algorithm using local topology information

(2020) Jingguo Dai et al.   KNOWLEDGE-BASED SYSTEMS

ARBF: adaptive radial basis function interpolation algorithm for irregularly scattered point sets

(2020) Kaifeng Gao et al.   SOFT COMPUTING

Wind Speed Forecast Based on Post-Processing of Numerical Weather Predictions Using a Gradient Boosting Decision Tree Algorithm

(2020) Wenqing Xu et al.   Atmosphere

A Novel Data-Driven Method to Estimate Methane Adsorption Isotherm on Coals Using the Gradient Boosting Decision Tree: A Case Study in the Qinshui Basin, China

(2020) Jiyuan Zhang et al.   Energies

Novel Virtual Sample Generation Based on Locally Linear Embedding for Optimizing the Small Sample Problem: Case of Soft Sensor Applications

(2020) Qun-Xiong Zhu et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Novel manifold learning based virtual sample generation for optimizing soft sensor with small data

(2020) Xiao-Han Zhang et al.   ISA TRANSACTIONS

A virtual sample generation approach based on a modified conditional GAN and centroidal Voronoi tessellation sampling to cope with small sample size problems: Application to soft sensing for chemical process

(2020) Zhong-Sheng Chen et al.   APPLIED SOFT COMPUTING

Dealing with small sample size problems in process industry using virtual sample generation: a Kriging-based approach

(2019) Qun-Xiong Zhu et al.   SOFT COMPUTING

A novel and effective nonlinear interpolation virtual sample generation method for enhancing energy prediction and analysis on small data problem: A case study of Ethylene industry

(2018) Yan-Lin He et al.   ENERGY

An alternative SMOTE oversampling strategy for high-dimensional datasets

(2018) Sebastián Maldonado et al.   APPLIED SOFT COMPUTING

Distributed Adaptive Tracking Synchronization for Coupled Reaction–Diffusion Neural Network

(2018) Hao Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

A PSO based virtual sample generation method for small sample sets: Applications to regression datasets

(2017) Zhong-Sheng Chen et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Improved decision tree construction based on attribute selection and data sampling for fault diagnosis in rotating machines

(2014) Nour El Islem Karabadji et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A genetic algorithm-based virtual sample generation technique to improve small data set learning

(2014) Der-Chiang Li et al.   NEUROCOMPUTING

Gray bootstrap method for estimating frequency-varying random vibration signals with small samples

(2013) Yanqing Wang et al.   Chinese Journal of Aeronautics

A forecasting model for small non-equigap data sets considering data weights and occurrence possibilities

(2013) Che-Jung Chang et al.   COMPUTERS & INDUSTRIAL ENGINEERING

A new approach to assess product lifetime performance for small data sets

(2013) Der-Chiang Li et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

A tree-based-trend-diffusion prediction procedure for small sample sets in the early stages of manufacturing systems

(2011) Der-Chiang Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

A novel virtual sample generation method based on Gaussian distribution

(2011) Jing Yang et al.   KNOWLEDGE-BASED SYSTEMS

Soft Sensor design for a Topping process in the case of small datasets

(2010) G. Napoli et al.   COMPUTERS & CHEMICAL ENGINEERING

Adaptive local hyperplane algorithm for learning small medical data sets

(2009) Tao Yang et al.   EXPERT SYSTEMS

Utilization of virtual samples to facilitate cancer identification for DNA microarray data in the early stages of an investigation

(2009) Der-Chiang Li et al.   INFORMATION SCIENCES