SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 901–950 of 1237 papers

TitleStatusHype
The Investment Management Game: Extending the Scope of the Notion of Core—0
Data is missing again -- Reconstruction of power generation data using k-Nearest Neighbors and spectral graph theory—0
Dataset-Agnostic Recommender Systems—0
The Synthetic Imputation Approach: Generating Optimal Synthetic Texts For Underrepresented Categories In Supervised Classification Tasks—0
The Virtual Patch Clamp: Imputing C. elegans Membrane Potentials from Calcium Imaging—0
TI-ASU: Toward Robust Automatic Speech Understanding through Text-to-speech Imputation Against Missing Speech Modality—0
TIMBA: Time series Imputation with Bi-directional Mamba Blocks and Diffusion models—0
Time-dependent Iterative Imputation for Multivariate Longitudinal Clinical Data—0
TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model—0
Time series cluster kernels to exploit informative missingness and incomplete label information—0
Time Series Data Imputation: A Survey on Deep Learning Approaches—0
Time Series Imputation—0
Time-series Imputation of Temporally-occluded Multiagent Trajectories—0
Time-Series Imputation with Wasserstein Interpolation for Optimal Look-Ahead-Bias and Variance Tradeoff—0
Time Series Missing Imputation with Multivariate Radial Basis Function Neural Network—0
tspDB: Time Series Predict DB—0
To Impute or Not: Recommendations for Multibiometric Fusion—0
Data Smoothing Filling Method based on ScRNA-Seq Data Zero-Value Identification—0
Data Wrangling Task Automation Using Code-Generating Language Models—0
Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data—0
Trajectory Imputation in Multi-Agent Sports with Derivative-Accumulating Self-Ensemble—0
Total Error and Variability Measures for the Quarterly Workforce Indicators and LEHD Origin-Destination Employment Statistics in OnTheMap—0
Towards a methodology for addressing missingness in datasets, with an application to demographic health datasets—0
Towards a more efficient representation of imputation operators in TPOT—0
Towards Better Modeling with Missing Data: A Contrastive Learning-based Visual Analytics Perspective—0
Towards Joint Electricity and Data Trading: A Scalable Cooperative Game Theoretic Approach—0
Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis—0
Towards Robust Uncertainty-Aware Incomplete Multi-View Classification—0
Towards the extraction of robust sign embeddings for low resource sign language recognition—0
Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling—0
TranSPORTmer: A Holistic Approach to Trajectory Understanding in Multi-Agent Sports—0
Tree-structured Gaussian Process Approximations—0
TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models—0
TriQXNet: Forecasting Dst Index from Solar Wind Data Using an Interpretable Parallel Classical-Quantum Framework with Uncertainty Quantification—0
An End-to-End Model for Time Series Classification In the Presence of Missing Values—0
TSK Fuzzy System Towards Few Labeled Incomplete Multi-View Data Classification—0
TSPulse: Dual Space Tiny Pre-Trained Models for Rapid Time-Series Analysis—0
Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets via Generative ModelsCode0
Table Transformers for Imputing Textual AttributesCode0
Clustering Rooftop PV Systems via Probabilistic EmbeddingsCode0
ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing DataCode0
IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples)Code0
3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring SystemsCode0
Activity and Subject Detection for UCI HAR Dataset with & without missing Sensor DataCode0
A-DARTS: Stable Model Selection for Data Repair in Time SeriesCode0
Addressing Correlated Latent Exogenous Variables in Debiased Recommender SystemsCode0
Addressing Discretization-Induced Bias in Demographic PredictionCode0
A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing ValuesCode0
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised LearningCode0
A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare DataCode0
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All datasetsHMNISTPhysioNet Challenge 2012Sprites

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