Deep learning for missing value imputation of continuous data and the effect of data discretization

Regression imputation optimizing sample size and emulation: Demonstrations and comparisons to prominent methods

(2021) Gary F. Templeton et al.   DECISION SUPPORT SYSTEMS

A comprehensive survey on support vector machine classification: Applications, challenges and trends

(2020) Jair Cervantes et al.   NEUROCOMPUTING

A Deep Learning Approach for Missing Data Imputation of Rating Scales Assessing Attention-Deficit Hyperactivity Disorder

(2020) Chung-Yuan Cheng et al.   Frontiers in Psychiatry

Missing care: A framework to address the issue of frequent missing values;The case of a clinical decision support system for Parkinson's disease

(2020) Saeed Piri   DECISION SUPPORT SYSTEMS

Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes

(2020) Ricardo Cardoso Pereira et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Missing value imputation: a review and analysis of the literature (2006–2017)

(2019) Wei-Chao Lin et al.   ARTIFICIAL INTELLIGENCE REVIEW

Data-driven missing data imputation in cluster monitoring system based on deep neural network

(2019) Jie Lin et al.   APPLIED INTELLIGENCE

Missing data imputation using decision trees and fuzzy clustering with iterative learning

(2019) Sanaz Nikfalazar et al.   KNOWLEDGE AND INFORMATION SYSTEMS

A Survey on Deep Learning

(2018) Samira Pouyanfar et al.   ACM COMPUTING SURVEYS

When Should We Ignore Examples with Missing Values?

(2017) Wei-Chao Lin et al.   International Journal of Data Warehousing and Mining

Missing value estimation for microarray data through cluster analysis

(2017) Soumen Kumar Pati et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Single imputation with multilayer perceptron and multiple imputation combining multilayer perceptron and k-nearest neighbours for monotone patterns

(2015) Esther-Lydia Silva-Ramírez et al.   APPLIED SOFT COMPUTING

Rough set-based approaches for discretization: a compact review

(2015) Rahman Ali et al.   ARTIFICIAL INTELLIGENCE REVIEW

Training restricted Boltzmann machines: An introduction

(2013) Asja Fischer et al.   PATTERN RECOGNITION

A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning

(2012) Salvador Garcia et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Iterative stepwise regression imputation using standard and robust methods

(2011) Matthias Templ et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Pattern classification with missing data: a review

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