Search results for "Imputation"

Hits ?▲	Authors	Title	Venue	Year	Link
12	Xiaochuan Zhang, Mengran Li, Ye Wang, Haojun Fei	AmGCL: Feature Imputation of Attribute Missing Graph via Self-supervised Contrastive Learning.	CoRR	2023	DBLP DOI BibTeX RDF
12	Xiao Li 0029, Huan Li 0003, Harry Kai-Ho Chan, Hua Lu 0001, Christian S. Jensen	Data Imputation for Sparse Radio Maps in Indoor Positioning (Extended Version).	CoRR	2023	DBLP DOI BibTeX RDF
12	Ou Deng, Qun Jin	FOSA: Full Information Maximum Likelihood (FIML) Optimized Self-Attention Imputation for Missing Data.	CoRR	2023	DBLP DOI BibTeX RDF
12	Yangxin Fan, Xuanji Yu, Raymond Wieser, David Meakin, Avishai Shaton, Jean-Nicolas Jaubert, Robert Flottemesch, Michael Howell, Jennifer Braid, Laura S. Bruckman, Roger H. French, Yinghui Wu	Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Timeseries Data Imputation.	CoRR	2023	DBLP DOI BibTeX RDF
12	Haobin Li, Yunfan Li 0003, Mouxing Yang, Peng Hu 0002, Dezhong Peng, Xi Peng 0001	Incomplete Multi-view Clustering via Prototype-based Imputation.	CoRR	2023	DBLP DOI BibTeX RDF
12	Duc Thien Nguyen, Konstantinos Slavakis	Multi-Linear Kernel Regression and Imputation in Data Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
12	Young Woong Park, Jinhak Kim, Dan Zhu	Discordance Minimization-based Imputation Algorithms for Missing Values in Rating Data.	CoRR	2023	DBLP DOI BibTeX RDF
12	Mohamed Ragab 0002, Emadeldeen Eldele, Min Wu 0008, Chuan-Sheng Foo, Xiaoli Li 0001, Zhenghua Chen	Source-Free Domain Adaptation with Temporal Imputation for Time Series Data.	CoRR	2023	DBLP DOI BibTeX RDF
12	Weiqi Zhang, Guanlve Li, Jianheng Tang, Jia Li 0009, Fugee Tsung	Missing Data Imputation with Graph Laplacian Pyramid Network.	CoRR	2023	DBLP DOI BibTeX RDF
12	Florian Lalande, Kenji Doya	Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Density Approach.	CoRR	2023	DBLP DOI BibTeX RDF
12	Jialei Chen, Yuanbo Xu, Pengyang Wang, Yongjian Yang	Deep Generative Imputation Model for Missing Not At Random Data.	CoRR	2023	DBLP DOI BibTeX RDF
12	Yi Xu 0005, Armin Bazarjani, Hyung-Gun Chi, Chiho Choi, Yun Fu	Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction.	CoRR	2023	DBLP DOI BibTeX RDF
12	Linglong Qian, Zina M. Ibrahim, Hugh Logan Ellis, Ao Zhang, Yuezhou Zhang, Tao Wang, Richard J. B. Dobson	Knowledge Enhanced Conditional Imputation for Healthcare Time-series.	CoRR	2023	DBLP DOI BibTeX RDF
12	Nhat-Hao Pham, Khanh-Linh Vo, Mai Anh Vu, Thu Nguyen, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen 0001	Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods.	CoRR	2023	DBLP DOI BibTeX RDF
12	Xiao Li 0029, Huan Li, Hua Lu 0001, Christian S. Jensen, Varun Pandey, Volker Markl	Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation (Extended Version).	CoRR	2023	DBLP DOI BibTeX RDF
12	Debolina Halder Lina, Arlei Silva	Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs.	CoRR	2023	DBLP DOI BibTeX RDF
12	Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao 0004, Bo Liu, Paul Wang, Bo Qiao 0001, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang 0001	Diffusion-based Time Series Data Imputation for Microsoft 365.	CoRR	2023	DBLP DOI BibTeX RDF
12	Sukwon Yun, Junseok Lee 0002, Chanyoung Park	Single-cell RNA-seq data imputation using Feature Propagation.	CoRR	2023	DBLP DOI BibTeX RDF
12	Irene Balelli, Aude Sportisse, Francesco Cremonesi, Pierre-Alexandre Mattei, Marco Lorenzi	Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models.	CoRR	2023	DBLP DOI BibTeX RDF
12	Zepu Wang, Dingyi Zhuang, Yankai Li, Jinhua Zhao, Peng Sun 0007	ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
12	Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka	Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation.	CoRR	2023	DBLP DOI BibTeX RDF
12	Marc Harary	SHIELD: Secure Haplotype Imputation Employing Local Differential Privacy.	CoRR	2023	DBLP DOI BibTeX RDF
12	Rischan Mafrur, Mohamed A. Sharaf, Guido Zuccon	VizPut: Insight-Aware Imputation of Incomplete Data for Visualization Recommendation.	CoRR	2023	DBLP DOI BibTeX RDF
12	Maksims Kazijevs, Manar D. Samad	Deep Imputation of Missing Values in Time Series Health Data: A Review with Benchmarking.	CoRR	2023	DBLP DOI BibTeX RDF
12	Tom Bamford, Elizabeth Fons, Yousef El-Laham, Svitlana Vyetrenko	MADS: Modulated Auto-Decoding SIREN for time series imputation.	CoRR	2023	DBLP DOI BibTeX RDF
12	Zhi Chen 0009, Sarah Tan, Urszula Chajewska, Cynthia Rudin, Rich Caruana	Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help?	CoRR	2023	DBLP DOI BibTeX RDF
12	Yue Zhang, Chengtao Peng, Qiuli Wang 0001, Dan Song, Kaiyan Li 0005, S. Kevin Zhou	Unified Multi-Modal Image Synthesis for Missing Modality Imputation.	CoRR	2023	DBLP DOI BibTeX RDF
12	Wenxuan Tu, Bin Xiao 0001, Xinwang Liu 0002, Sihang Zhou 0001, Zhiping Cai, Jieren Cheng	Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network.	CoRR	2023	DBLP DOI BibTeX RDF
12	Kunpeng Zhang, Lan Wu, Liang Zheng 0003, Na Xie, Zhengbing He	Large-Scale Traffic Data Imputation with Spatiotemporal Semantic Understanding.	CoRR	2023	DBLP DOI BibTeX RDF
12	Shunyang Zhang, Senzhang Wang, Xianzhen Tan, Ruochen Liu, Jian Zhang, Jianxin Wang 0001	sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation.	CoRR	2023	DBLP DOI BibTeX RDF
12	Cheng Chen, Peixin Shi, Xiaoqi Zhou, Ben Wu, Pengjiao Jia	A novel hybrid model for missing deformation data imputation in shield tunneling monitoring data.	Adv. Eng. Informatics	2023	DBLP DOI BibTeX RDF
12	Han Li, Zhenxiong Liu, Jixiang Niu, Zhongguo Yang, Sikandar Ali	Trend-Aware Data Imputation Based on Generative Adversarial Network for Time Series.	Int. J. Inf. Technol. Syst. Approach	2023	DBLP DOI BibTeX RDF
12	Deepak Adhikari, Wei Jiang 0016, Jinyu Zhan, Zhiyuan He 0001, Danda B. Rawat, Uwe Aickelin, Hadi Akbarzade Khorshidi	A Comprehensive Survey on Imputation of Missing Data in Internet of Things.	ACM Comput. Surv.	2023	DBLP DOI BibTeX RDF
12	Chang Liu, Yan-Ru Chen, Hao Wang 0034, YuanYuan Zhang, Xuewu Dai, Qian Luo, Liangyin Chen	Airport flight ground service time prediction with missing data using graph convolutional neural network imputation and bidirectional sliding mechanism.	Appl. Soft Comput.	2023	DBLP DOI BibTeX RDF
12	Jinlong Li, Ruonan Li, Lunhui Xu	Multi-stage deep residual collaboration learning framework for complex spatial-temporal traffic data imputation.	Appl. Soft Comput.	2023	DBLP DOI BibTeX RDF
12	Xiao Li 0029, Huan Li 0003, Hua Lu 0001, Christian S. Jensen, Varun Pandey, Volker Markl	Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation.	Proc. VLDB Endow.	2023	DBLP BibTeX RDF
12	Yiming Lin, Sharad Mehrotra	ZIP: Lazy Imputation during Query Processing.	Proc. VLDB Endow.	2023	DBLP BibTeX RDF
12	Mashaal Musleh, Mohamed F. Mokbel	KAMEL: A Scalable BERT-based System for Trajectory Imputation.	Proc. VLDB Endow.	2023	DBLP BibTeX RDF
12	Jean-Sébastien Dessureault, Daniel Massicotte	Explainable global error weighted on feature importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation.	Appl. Intell.	2023	DBLP DOI BibTeX RDF
12	Ruiqiang Liu, Yuheng Kan, Shuai Zhao 0001, Bo Cheng 0001, Zian Ma, Wei Wu 0021	Turning traffic volume imputation for persistent missing patterns with GNNs.	Appl. Intell.	2023	DBLP DOI BibTeX RDF
12	Nan Zhou 0010, Yuanhua Du, Jun Liu 0046, Xiuyu Huang, Xiao Shen 0001, Kup-Sze Choi	Robust semi-supervised data representation and imputation by correntropy based constraint nonnegative matrix factorization.	Appl. Intell.	2023	DBLP DOI BibTeX RDF
12	Michele Bernardini, Anastasiia Doinychko, Luca Romeo, Emanuele Frontoni, Massih-Reza Amini	A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets.	Comput. Biol. Medicine	2023	DBLP DOI BibTeX RDF
12	Yuchen Shi, Jian Wan, Xin Zhang 0079, Yuyu Yin	CL-Impute: A contrastive learning-based imputation for dropout single-cell RNA-seq data.	Comput. Biol. Medicine	2023	DBLP DOI BibTeX RDF
12	Longji Huang, Jianbin Huang, He Li 0006, Jiangtao Cui	Multi-dimensional spatial-temporal graph convolution for urban sensors imputation and enhancement.	Knowl. Based Syst.	2023	DBLP DOI BibTeX RDF
12	Bahram Jafrasteh, Daniel Hernández-Lobato, Simón Pedro Lubián-López, Isabel Benavente-Fernández	Gaussian processes for missing value imputation.	Knowl. Based Syst.	2023	DBLP DOI BibTeX RDF
12	Longji Huang, Jianbin Huang, He Li 0006, Jiangtao Cui	Robust spatial temporal imputation based on spatio-temporal generative adversarial nets.	Knowl. Based Syst.	2023	DBLP DOI BibTeX RDF
12	Xiangjie Kong 0001, Wenfeng Zhou, Guojiang Shen, Wenyi Zhang, Nali Liu, Yao Yang	Dynamic graph convolutional recurrent imputation network for spatiotemporal traffic missing data.	Knowl. Based Syst.	2023	DBLP DOI BibTeX RDF
12	Le Fang, Wei Xiang 0001, Yuan Zhou 0006, Juan Fang, Lianhua Chi, Zongyuan Ge	Dual-branch cross-dimensional self-attention-based imputation model for multivariate time series.	Knowl. Based Syst.	2023	DBLP DOI BibTeX RDF
12	Athanasios I. Salamanis, George A. Gravvanis, Sotiris Kotsiantis, Konstantinos M. Giannoutakis	A generic sparse regression imputation method for time series and tabular data.	Knowl. Based Syst.	2023	DBLP DOI BibTeX RDF
12	Chenmeng Qiu, Yuzhi Li, Mingyu Kang, Duxin Chen, Wenwu Yu	CDSTTN: A Data Imputation Method for Cyber-Physical Systems by Causal Dense Spatial-Temporal Transformer Network.	IEEE J. Emerg. Sel. Topics Circuits Syst.	2023	DBLP DOI BibTeX RDF
12	Qian Ma 0003, Xia Li, Mei Bai, Xite Wang, Bo Ning 0002, Guanyu Li	MIVAE: Multiple Imputation based on Variational Auto-Encoder.	Eng. Appl. Artif. Intell.	2023	DBLP DOI BibTeX RDF
12	Phimmarin Keerin, Natthakan Iam-On, Jing Jing Liu, Tossapon Boongoen, Qiang Shen 0001	Summarising multiple clustering-centric estimates with OWA operators for improved KNN imputation on microarray data.	Fuzzy Sets Syst.	2023	DBLP DOI BibTeX RDF
12	Philip Buczak, Jian-Jia Chen, Markus Pauly	Analyzing the Effect of Imputation on Classification Performance under MCAR and MAR Missing Mechanisms.	Entropy	2023	DBLP DOI BibTeX RDF
12	Rui Qin, Yong Wang	ImputeGAN: Generative Adversarial Network for Multivariate Time Series Imputation.	Entropy	2023	DBLP DOI BibTeX RDF
12	Lijuan Ren, Aicha Sekhari Seklouli, Haiqing Zhang, Tao Wang 0022, Abdelaziz Bouras	An adaptive Laplacian weight random forest imputation for imbalance and mixed-type data.	Inf. Syst.	2023	DBLP DOI BibTeX RDF
12	Ruoshui Zhai, Roee Gutman	A Bayesian Singular Value Decomposition Procedure for Missing Data Imputation.	J. Comput. Graph. Stat.	2023	DBLP DOI BibTeX RDF
12	Liping Huang, Zhenghuan Li, Ruikang Luo, Rong Su 0001	Missing Traffic Data Imputation with a Linear Generative Model Based on Probabilistic Principal Component Analysis.	Sensors	2023	DBLP DOI BibTeX RDF
12	Shweta Chakrabarti, Nupur Biswas, Khushi Karnani, Vijay Padul, Lawrence D. Jones, Santosh Kesari, Shashaanka Ashili	Binned Data Provide Better Imputation of Missing Time Series Data from Wearables.	Sensors	2023	DBLP DOI BibTeX RDF
12	Ling Jiang, Juping Gu, Xinsong Zhang, Liang Hua, Yueming Cai	Multi-Type Missing Imputation of Time-Series Power Equipment Monitoring Data Based on Moving Average Filter-Asymmetric Denoising Autoencoder.	Sensors	2023	DBLP DOI BibTeX RDF
12	Chenchen Zhang, Lei Zhou, Xue-mei Xiao, Dongwei Xu	A Missing Traffic Data Imputation Method Based on a Diffusion Convolutional Neural Network-Generative Adversarial Network.	Sensors	2023	DBLP DOI BibTeX RDF
12	Qihong Gan, Lang Gong, Dasha Hu, Yuming Jiang 0004, Xuefeng Ding 0002	A Hybrid Missing Data Imputation Method for Batch Process Monitoring Dataset.	Sensors	2023	DBLP DOI BibTeX RDF
12	Raed S. Batbooti, Rajesh S. Ransing	A novel imputation based predictive algorithm for reducing common cause variation from small and mixed datasets with missing values.	Comput. Ind. Eng.	2023	DBLP DOI BibTeX RDF
12	Jacqueline A. May, Zeny Feng, Sarah J. Adamowicz	A real data-driven simulation strategy to select an imputation method for mixed-type trait data.	PLoS Comput. Biol.	2023	DBLP DOI BibTeX RDF
12	Elena Casiraghi, Rachel Wong, Margaret Hall, Ben D. Coleman, Marco Notaro, Michael D. Evans, Jena S. Tronieri, Hannah Blau, Bryan Laraway, Tiffany J. Callahan, Lauren E. Chan, Carolyn T. Bramante, John B. Buse, Richard A. Moffitt, Til Sturmer, Steven G. Johnson, Yu Raymond Shao, Justin T. Reese, Peter N. Robinson, Alberto Paccanaro, Giorgio Valentini, Jared D. Huling, Kenneth Wilkins	A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative.	J. Biomed. Informatics	2023	DBLP DOI BibTeX RDF
12	Sven Festag, Cord Spreckelsen	Medical multivariate time series imputation and forecasting based on a recurrent conditional Wasserstein GAN and attention.	J. Biomed. Informatics	2023	DBLP DOI BibTeX RDF
12	Maksims Kazijevs, Manar D. Samad	Deep imputation of missing values in time series health data: A review with benchmarking.	J. Biomed. Informatics	2023	DBLP DOI BibTeX RDF
12	Xiaobin Ren, Kaiqi Zhao 0001, Patricia J. Riddle, Katerina Taskova, Qingyi Pan, Lianyan Li	DAMR: Dynamic Adjacency Matrix Representation Learning for Multivariate Time Series Imputation.	Proc. ACM Manag. Data	2023	DBLP DOI BibTeX RDF
12	Yangxin Fan, Xuanji Yu, Raymond Wieser, David Meakin, Avishai Shaton, Jean-Nicolas Jaubert, Robert Flottemesch, Michael Howell, Jennifer Braid, Laura S. Bruckman, Roger H. French, Yinghui Wu	Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Data Imputation.	Proc. ACM Manag. Data	2023	DBLP DOI BibTeX RDF
12	Shuchang Zhao, Li Zhang, Xuejun Liu	AE-TPGG: a novel autoencoder-based approach for single-cell RNA-seq data imputation and dimensionality reduction.	Frontiers Comput. Sci.	2023	DBLP DOI BibTeX RDF
12	Wei Zhang, Zhaohong Deng, Kup-Sze Choi, Shitong Wang 0001	End-to-End Incomplete Multiview Fuzzy Clustering With Adaptive Missing View Imputation and Cooperative Learning.	IEEE Trans. Fuzzy Syst.	2023	DBLP DOI BibTeX RDF
12	Cong Li, Xupeng Ren, Guohui Zhao	Machine-Learning-Based Imputation Method for Filling Missing Values in Ground Meteorological Observation Data.	Algorithms	2023	DBLP DOI BibTeX RDF
12	Xinxi Lu, Lijuan Yuan, Ruifeng Li, Zhihuan Xing, Ning Yao, Yichun Yu	An Improved Bi-LSTM-Based Missing Value Imputation Approach for Pregnancy Examination Data.	Algorithms	2023	DBLP DOI BibTeX RDF
12	Pablo Ferri Borreda, Nekane Romero-Garcia, Rafael Badenes, David Lora-Pablos, Teresa García Morales, Agustín Gómez De La Camara, Juan M. García-Gómez, Carlos Sáez	Extremely missing numerical data in Electronic Health Records for machine learning can be managed through simple imputation methods considering informative missingness: A comparative of solutions in a COVID-19 mortality case study.	Comput. Methods Programs Biomed.	2023	DBLP DOI BibTeX RDF
12	Yujie Feng, Jiangtao Wang 0001, Yasha Wang, Xu Chu	Towards Sustainable Compressive Population Health: A GAN-based Year-By-Year Imputation Method.	ACM Trans. Comput. Heal.	2023	DBLP DOI BibTeX RDF
12	Ye Yuan, Yong Zhang 0029, Boyue Wang, Yuan Peng, Yongli Hu, Baocai Yin	STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation.	IEEE Trans. Big Data	2023	DBLP DOI BibTeX RDF
12	Yujie Feng, Jiangtao Wang 0001, Yasha Wang, Xu Chu	Spatial-Attention and Demographic-Augmented Generative Adversarial Imputation Network for Population Health Data Reconstruction.	IEEE Trans. Big Data	2023	DBLP DOI BibTeX RDF
12	Bikash Baruah, Manash Pratim Dutta, Dhruba K. Bhattacharyya	An effective ensemble method for missing data imputation.	Int. J. Inf. Comput. Secur.	2023	DBLP DOI BibTeX RDF
12	Shuo Yang, Minjing Dong, Yunhe Wang 0001, Chang Xu 0002	Adversarial Recurrent Time Series Imputation.	IEEE Trans. Neural Networks Learn. Syst.	2023	DBLP DOI BibTeX RDF
12	Da Xu, Paul Jen-Hwa Hu, Xiao Fang	Deep Learning-Based Imputation Method to Enhance Crowdsourced Data on Online Business Directory Platforms for Improved Services.	J. Manag. Inf. Syst.	2023	DBLP BibTeX RDF
12	Chloe S. de Leon, Richard Bryann Chua	Secure Genotype Imputation Using the Hidden Markov Model with Homomorphic Encryption.	NiDS (2)	2023	DBLP DOI BibTeX RDF
12	Breeshey Roskams-Hieter, Jude Wells, Sara Wade	Leveraging Variational Autoencoders for Multiple Data Imputation.	ECML/PKDD (1)	2023	DBLP DOI BibTeX RDF
12	Yifan Zhao, Xian Yang, Ranga Raju Vatsavai	Cloud Imputation for Multi-sensor Remote Sensing Imagery with Style Transfer.	ECML/PKDD (7)	2023	DBLP DOI BibTeX RDF
12	Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes	Contrastive Learning-Based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling Using EHRs.	ECML/PKDD (6)	2023	DBLP DOI BibTeX RDF
12	Jingwen Xu, Fei Lyu 0004, Pong C. Yuen	Density-Aware Temporal Attentive Step-wise Diffusion Model For Medical Time Series Imputation.	CIKM	2023	DBLP DOI BibTeX RDF
12	Jialei Chen, Yuanbo Xu, Pengyang Wang, Yongjian Yang	Deep Generative Imputation Model for Missing Not At Random Data.	CIKM	2023	DBLP DOI BibTeX RDF
12	Chuanfang Zhang, Kaixiang Peng, Jie Dong 0004, Liang Ma, Yangfan Wang, Dongjie Hua	Exergy-related Operating Performance Assessment for Hot Rolling Process Based on Multiple imputation and Multi-class Support Vector Data Description.	ICPS	2023	DBLP DOI BibTeX RDF
12	Zhi Chen 0009, Sarah Tan, Urszula Chajewska, Cynthia Rudin, Rich Caruana	Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help?	CHIL	2023	DBLP BibTeX RDF
12	Yangyang Wu, Xiaoye Miao, Zilinghan Li, Shilan He, Xinkai Yuan, Jianwei Yin	An Efficient Generative Data Imputation Toolbox with Adversarial Learning.	ICDE	2023	DBLP DOI BibTeX RDF
12	Mingzhe Liu, Han Huang, Hao Feng, Leilei Sun, Bowen Du 0001, Yanjie Fu	PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation.	ICDE	2023	DBLP DOI BibTeX RDF
12	Xiao Li 0029, Huan Li 0003, Harry Kai-Ho Chan, Hua Lu 0001, Christian S. Jensen	Data Imputation for Sparse Radio Maps in Indoor Positioning.	ICDE	2023	DBLP DOI BibTeX RDF
12	Xuerui Hong, Shuang Hao	Imputation of Missing Values in Training Data using Variational Autoencoder.	ICDEW	2023	DBLP DOI BibTeX RDF
12	Yuanwang Zhang, Kaicong Sun, Yuxiao Liu, Zaixin Ou, Dinggang Shen	Vector Quantized Multi-modal Guidance for Alzheimer's Disease Diagnosis Based on Feature Imputation.	MLMI@MICCAI (1)	2023	DBLP DOI BibTeX RDF
12	Ankit Sharma, Thiruvengadam Samon, Akhash Vellandurai, Vinoth Kumar	TA-SAITS: Time Aware-Self Attention based Imputation of Time Series algorithm for Partially Observable Multi -Variate Time Series.	ICMLA	2023	DBLP DOI BibTeX RDF
12	Panyanat Aonpong, Ratchai Thipbumrung, Weenawadee Muangon, Opas Wongtaweesap	Maximizing Efficiency in Marketing Planning: Artificial Neural Network Regression and Data Imputation for Improving Business Forecasting.	JCSSE	2023	DBLP DOI BibTeX RDF
12	Ana Almeida, Susana Brás, Susana Sargento, Filipe Cabral Pinto	Time Series Imputation in Faulty Systems.	IbPRIA	2023	DBLP DOI BibTeX RDF
12	Zhongquan Qiu, Kaiyi Zhou, Bing Lan, Xiaobo Tang, Shuai Zhang, Bing Wu, Yao Liang	Traffic Missing Data Imputation Based on Diffusion Neural Networks.	ACAI	2023	DBLP DOI BibTeX RDF
12	Maik Büttner, Christian Beyer, Myra Spiliopoulou	Joining Imputation and Active Feature Acquisition for Cost Saving on Data Streams with Missing Features.	DS	2023	DBLP DOI BibTeX RDF
12	Jun Kawagoshi, Yuyang Dong, Takuma Nozawa, Chuan Xiao 0001	CAGAIN: Column Attention Generative Adversarial Imputation Networks.	DEXA (2)	2023	DBLP DOI BibTeX RDF
12	Keyong Hu, Guoxiao Liu, Xin Yang	Efficient Air Quality Imputation with Transformer.	ACM TUR-C	2023	DBLP DOI BibTeX RDF
12	Siyuan Shan, Yang Li, Junier B. Oliva	NRTSI: Non-Recurrent Time Series Imputation.	ICASSP	2023	DBLP DOI BibTeX RDF