SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 1101–1150 of 1237 papers

TitleStatusHype
Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random—0
Semi-supervised Bayesian Deep Multi-modal Emotion Recognition—0
Semi-supervised Learning with Missing Values Imputation—0
DPERC: Direct Parameter Estimation for Mixed Data—0
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data—0
Semi-supervised learning for structured regression on partially observed attributed graphs—0
Driving-Signal Aware Full-Body Avatars—0
Dual-Label Learning With Irregularly Present Labels—0
Semi-Supervised Learning with Multiple Imputations on Non-Random Missing Labels—0
Dynamical selection of Nash equilibria using Experience Weighted Attraction Learning: emergence of heterogeneous mixed equilibria—0
Dynamic Question Ordering in Online Surveys—0
Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns—0
DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and Temporal Relatedness—0
E2GAN: End-to-End Generative Adversarial Network or Multivariate Time Series Imputation—0
Early Detection of Sepsis using Ensemblers—0
Effective and Efficient Cross-City Traffic Knowledge Transfer: A Privacy-Preserving Perspective—0
Efficient and Adaptive Linear Regression in Semi-Supervised Settings—0
Efficient data augmentation using graph imputation neural networks—0
Semi-Supervised Off Policy Reinforcement Learning—0
Semi-Supervised Quantile Estimation: Robust and Efficient Inference in High Dimensional Settings—0
Efficient Learning of Bounded-Treewidth Bayesian Networks from Complete and Incomplete Data Sets—0
EGG-GAE: scalable graph neural networks for tabular data imputation—0
EINS: Long Short-Term Memory with Extrapolated Input Network Simplification—0
ELMV: an Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values—0
Out-of-Vocabulary Embedding Imputation with Grounded Language Information by Graph Convolutional Networks—0
Wasserstein Graph Neural Networks for Graphs with Missing Attributes—0
Sentence Correction Based on Large-scale Language Modelling—0
EMFlow: Data Imputation in Latent Space via EM and Deep Flow Models—0
Enabling Tensor Decomposition for Time-Series Classification via A Simple Pseudo-Laplacian Contrast—0
Composable Generative Models—0
Using Eigencentrality to Estimate Joint, Conditional and Marginal Probabilities from Mixed-Variable Data: Method and Applications—0
An Empirical Study of the Downstream Reliability of Pre-Trained Word Embeddings—0
Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph—0
Enhancing Model Fairness and Accuracy with Similarity Networks: A Methodological Approach—0
Sequence Prediction Under Missing Data : An RNN Approach Without Imputation—0
Enhancing PM2.5 Data Imputation and Prediction in Air Quality Monitoring Networks Using a KNN-SINDy Hybrid Model—0
EnsembleNTLDetect: An Intelligent Framework for Electricity Theft Detection in Smart Grid—0
Sequence-to-Sequence Imputation of Missing Sensor Data—0
Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems—0
Estimating a new panel MSK dataset for comparative analyses of national absorptive capacity systems, economic growth, and development in low and middle income economies—0
Comparison of Missing Data Imputation Methods using the Framingham Heart study dataset—0
Estimating complex causal effects from incomplete observational data—0
Comparative Study of Instance Based Learning and Back Propagation for Classification Problems—0
Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data—0
Sequential Synthetic Difference in Differences—0
Estimating the Impact of Social Distance Policy in Mitigating COVID-19 Spread with Factor-Based Imputation Approach—0
Using Machine Learning to Develop Smart Reflex Testing Protocols—0
Evaluating the Role of Data Enrichment Approaches Towards Rare Event Analysis in Manufacturing—0
Evaluating tree-based imputation methods as an alternative to MICE PMM for drawing inference in empirical studies—0
Evaluation of data imputation strategies in complex, deeply-phenotyped data sets: the case of the EU-AIMS Longitudinal European Autism Project—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GP-VAE (B-NLST)AUROC0.96—Unverified
#ModelMetricClaimedVerifiedStatus
1GP-VAE (B-NLST)AUROC0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1GP-VAE (B-NLST)MSE0—Unverified