Imputation of Missing Values in Time Series Using an Adaptive-Learned Median-Filled Deep Autoencoder

A classification-driven neuron-grouped SAE for feature representation and its application to fault classification in chemical processes

(2021) Zhuofu Pan et al.   KNOWLEDGE-BASED SYSTEMS

MIDIA: exploring denoising autoencoders for missing data imputation

(2020) Qian Ma et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Autoencoder-based multi-task learning for imputation and classification of incomplete data

(2020) Xiaochen Lai et al.   APPLIED SOFT COMPUTING

KNN-ST: Exploiting Spatio-Temporal Correlation for Missing Data Inference in Environmental Crowd Sensing

(2020) Ningrinla Marchang et al.   IEEE SENSORS JOURNAL

A thermographic data augmentation and signal separation method for defect detection

(2020) Kaixin Liu et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Distributed Semi-Supervised Learning With Missing Data

(2020) Zhen Xu et al.   IEEE Transactions on Cybernetics

Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains: A Survey, Challenges, and Perspectives

(2020) Hongtian Chen et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network

(2019) Yalin Wang et al.   ISA TRANSACTIONS

Imputations of Missing Values Using a Tracking-removed Autoencoder Trained with Incomplete Data

(2019) Xiaochen Lai et al.   NEUROCOMPUTING

Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems

(2019) Najmeh Abiri et al.   NEUROCOMPUTING

A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains

(2019) Hongtian Chen et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A Transfer-Based Additive LS-SVM Classifier for Handling Missing Data

(2019) Guanjin Wang et al.   IEEE Transactions on Cybernetics

End-to-End Incomplete Time-Series Modeling From Linear Memory of Latent Variables

(2019) Qianli Ma et al.   IEEE Transactions on Cybernetics

Automatic Defect Detection of Fasteners on the Catenary Support Device Using Deep Convolutional Neural Network

(2018) Junwen Chen et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

GMM and optimal principal components-based Bayesian method for multimode fault diagnosis

(2016) Qingchao Jiang et al.   COMPUTERS & CHEMICAL ENGINEERING

Self-organizing maps for imputation of missing data in incomplete data matrices

(2015) Laura Folguera et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process

(2012) Shen Yin et al.   JOURNAL OF PROCESS CONTROL

Pattern classification with missing data: a review

(2009) Pedro J. García-Laencina et al.   NEURAL COMPUTING & APPLICATIONS