Improving Missing Data Imputation with Deep Generative Models

27 February 2019

R. Camino

Christian A. Hammerschmidt

R. State

SyDa

ArXiv (abs)PDF HTML

Papers citing "Improving Missing Data Imputation with Deep Generative Models"

24 / 24 papers shown

Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning

232

10 Nov 2025

TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series AnalysisAAAI Conference on Artificial Intelligence (AAAI), 2024

267

17 Dec 2024

Scalable Early Childhood Reading Performance PredictionNeural Information Processing Systems (NeurIPS), 2024

242

05 Dec 2024

MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis

289

02 Dec 2024

Iterative missing value imputation based on feature importanceKnowledge and Information Systems (KAIS), 2023

Cong Guo

Chun Liu

Wei Yang

206

14 Nov 2023

A Comprehensive Survey on Generative Diffusion Models for Structured Data

Heejoon Koo

To Eun Kim

DiffM MedIm

236

07 Jun 2023

Deep Imputation of Missing Values in Time Series Health Data: A Review with BenchmarkingJournal of Biomedical Informatics (JBI), 2023

Maksims Kazijevs

Manar D. Samad

BDL AI4TS

290

10 Feb 2023

GAN-based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions

M. Fallahian

Mohsen Dorodchi

Kyle Kreth

147

18 Dec 2022

Leveraging variational autoencoders for multiple data imputation

Breeshey Roskams-Hieter

J. Wells

S. Wade

DRL

117

30 Sep 2022

Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive SurveyACM Computing Surveys (ACM CSUR), 2022

Guang Yang

170

17 Sep 2022

A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sourcesACM Computing Surveys (ACM CSUR), 2022

Ghadeer O. Ghosheh

Jin Li

T. Zhu

299

14 Mar 2022

FragmGAN: Generative Adversarial Nets for Fragmentary Data Imputation and PredictionStatistical Theory and Related Fields (STRF), 2022

Fang Fang

Shenliao Bao

AI4CE GAN

106

09 Mar 2022

Missing Value Estimation using Clustering and Deep Learning within Multiple Imputation FrameworkKnowledge-Based Systems (KBS), 2022

240

28 Feb 2022

Maximizing information from chemical engineering data sets: Applications to machine learning

356

25 Jan 2022

DAEMA: Denoising Autoencoder with Mask AttentionInternational Conference on Artificial Neural Networks (ICANN), 2021

Simon Tihon

Muhammad Usama Javaid

Damien Fourure

N. Posocco

Thomas Peel

30 Jun 2021

Anytime 3D Object Reconstruction using Multi-modal Variational AutoencoderIEEE Robotics and Automation Letters (RA-L), 2021

Hyeonwoo Yu

Jean Oh

DRL

171

25 Jan 2021

Extended Missing Data Imputation via GANs for Ranking Applications

304

04 Nov 2020

A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data

340

23 Oct 2020

Early Detection of Sepsis using Ensemblers

Shailesh Nirgudkar

Tianyu Ding

20 Oct 2020

Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network

166

21 Jun 2020

Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?

Jeremy Georges-Filteau

Elisa Cirillo

SyDa AI4CE

350

27 May 2020

Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders

142

13 May 2020

Minority Class Oversampling for Tabular Data with Deep Generative Models

R. Camino

Christian A. Hammerschmidt

R. State

153

07 May 2020

A Supervised Machine Learning Model For Imputing Missing Boarding Stops In Smart Card DataPublic Transport (PT), 2020

Nadav Shalit

Michael Fire

Eran Ben-Elia

305

10 Mar 2020