Missing data imputation on biomedical data using deeply learned clustering and L2 regularized regression based on symmetric uncertainty
出版年份 2021 全文链接
标题
Missing data imputation on biomedical data using deeply learned clustering and L2 regularized regression based on symmetric uncertainty
作者
关键词
Deeply learned clustering, L2 regularization, Missing data imputation, Biomedical datasets
出版物
ARTIFICIAL INTELLIGENCE IN MEDICINE
Volume 123, Issue -, Pages 102214
出版商
Elsevier BV
发表日期
2021-12-06
DOI
10.1016/j.artmed.2021.102214
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Accuracy of random-forest-based imputation of missing data in the presence of non-normality, non-linearity, and interaction
- (2020) Shangzhi Hong et al. BMC Medical Research Methodology
- Genomic data imputation with variational auto-encoders
- (2020) Yeping Lina Qiu et al. GigaScience
- Incomplete big data imputation mining algorithm based on BP neural network
- (2019) Yutang Liu JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
- A global learning with local preservation method for microarray data imputation
- (2016) Ye Chen et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Data-Driven Imputation Method for Traffic Data in Sectional Units of Road Links
- (2016) Sehyun Tak et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Matrix and Tensor Based Methods for Missing Data Estimation in Large Traffic Networks
- (2016) Muhammad Tayyab Asif et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging
- (2016) Jaime Zabalza et al. NEUROCOMPUTING
- Auto-encoder based dimensionality reduction
- (2016) Yasi Wang et al. NEUROCOMPUTING
- Missing data imputation using fuzzy-rough methods
- (2016) Mehran Amiri et al. NEUROCOMPUTING
- Adaptive imputation of missing values for incomplete pattern classification
- (2016) Zhun-ga Liu et al. PATTERN RECOGNITION
- An efficient realization of deep learning for traffic data imputation
- (2016) Yanjie Duan et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Missing data imputation by K nearest neighbours based on grey relational structure and mutual information
- (2015) Ruilin Pan et al. APPLIED INTELLIGENCE
- Impact of missing data imputation methods on gene expression clustering and classification
- (2015) Marcilio CP de Souto et al. BMC BIOINFORMATICS
- Self-organizing maps for imputation of missing data in incomplete data matrices
- (2015) Laura Folguera et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Improved methods for the imputation of missing data by nearest neighbor methods
- (2015) Gerhard Tutz et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Missing data imputation on the 5-year survival prediction of breast cancer patients with unknown discrete values
- (2015) Pedro J. García-Laencina et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Hybrid prediction model with missing value imputation for medical data
- (2015) Archana Purwar et al. EXPERT SYSTEMS WITH APPLICATIONS
- Multi-objective genetic algorithm for missing data imputation
- (2015) Fabio Lobato et al. PATTERN RECOGNITION LETTERS
- A hybrid approach to integrate fuzzy C-means based imputation method with genetic algorithm for missing traffic volume data estimation
- (2015) Jinjun Tang et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- The MinMax k-Means clustering algorithm
- (2014) Grigorios Tzortzis et al. PATTERN RECOGNITION
- Recursive partitioning for missing data imputation in the presence of interaction effects
- (2013) L.L. Doove et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Efficient missing data imputing for traffic flow by considering temporal and spatial dependence
- (2013) Li Li et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Regularized extreme learning machine for regression with missing data
- (2012) Qi Yu et al. NEUROCOMPUTING
- A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data
- (2011) Qinbao Song et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- On the choice of the best imputation methods for missing values considering three groups of classification methods
- (2011) Julián Luengo et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Missing data imputation using statistical and machine learning methods in a real breast cancer problem
- (2010) José M. Jerez et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- A novel hybrid feature selection via Symmetrical Uncertainty ranking based local memetic search algorithm
- (2010) S. Senthamarai Kannan et al. KNOWLEDGE-BASED SYSTEMS
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