Enhanced virtual sample generation based on manifold features: Applications to developing soft sensor using small data

Novel soft sensor development using echo state network integrated with singular value decomposition: Application to complex chemical processes

(2020) Yan-Lin He et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Fault diagnosis using novel AdaBoost based discriminant locality preserving projection with resamples

(2020) Yan-Lin He et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

An Integrated Boost-LC-Resonant-Flyback Multimode Converter for Battery Charger Applications

(2020) Yisheng Yuan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process

(2019) Xiaofeng Yuan 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

A tree-like Bayesian structure learning algorithm for small-sample datasets from complex biological model systems

(2015) Weiwei Yin et al.   BMC Systems Biology

Improving learning accuracy by using synthetic samples for small datasets with non-linear attribute dependency

(2014) Der-Chiang Li et al.   DECISION SUPPORT SYSTEMS

A Review on Basic Data-Driven Approaches for Industrial Process Monitoring

(2014) Shen Yin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

Regularized Common Spatial Pattern With Aggregation for EEG Classification in Small-Sample Setting

(2010) Haiping Lu et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Spatially adaptive sparse grids for high-dimensional data-driven problems

(2010) Dirk Pflüger et al.   JOURNAL OF COMPLEXITY

Data-driven Soft Sensors in the process industry

(2009) Petr Kadlec et al.   COMPUTERS & CHEMICAL ENGINEERING

Riemannian Manifold Learning

(2008) Tong Lin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A non-linearly virtual sample generation technique using group discovery and parametric equations of hypersphere

(2007) Der-Chiang Li et al.   EXPERT SYSTEMS WITH APPLICATIONS