SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 1237 papers

TitleStatusHype
From Abstract to Actionable: Pairwise Shapley Values for Explainable AICode0
A Bayesian Perspective on Uncertainty Quantification for Estimated Graph Signals—0
Imputation Strategies for Rightcensored Wages in Longitudinal Datasets—0
JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMsCode2
Single-Cell Proteomics Using Mass Spectrometry—0
Batch-Adaptive Annotations for Causal Inference with Complex-Embedded Outcomes—0
Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal NarrativeCode1
scMamba: A Pre-Trained Model for Single-Nucleus RNA Sequencing Analysis in Neurodegenerative Disorders—0
The α-Alternator: Dynamic Adaptation To Varying Noise Levels In Sequences Using The Vendi Score For Improved Robustness and PerformanceCode0
CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learningCode0
Data Wrangling Task Automation Using Code-Generating Language Models—0
General Time-series Model for Universal Knowledge Representation of Multivariate Time-Series data—0
LAST SToP For Modeling Asynchronous Time Series—0
Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees—0
MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks—0
CoSTI: Consistency Models for (a faster) Spatio-Temporal ImputationCode0
CodeBrain: Impute Any Brain MRI via Instance-specific Scalar-quantized Codes—0
A technical review of multi-omics data integration methods: from classical statistical to deep generative approaches—0
WARP: An Efficient Engine for Multi-Vector Retrieval—0
RAINER: A Robust Ensemble Learning Grid Search-Tuned Framework for Rainfall Patterns Prediction—0
Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees—0
AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation—0
Longitudinal Missing Data Imputation for Predicting Disability Stage of Patients with Multiple Sclerosis—0
TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic DataCode4
Prediction of Lung Metastasis from Hepatocellular Carcinoma using the SEER DatabaseCode0
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning—0
DeepIFSAC: Deep Imputation of Missing Values Using Feature and Sample Attention within Contrastive FrameworkCode0
Data Enrichment Opportunities for Distribution Grid Cable Networks using Variational Autoencoders—0
Precision Adaptive Imputation Network : An Unified Technique for Mixed Datasets—0
DPERC: Direct Parameter Estimation for Mixed Data—0
Decision Transformers for RIS-Assisted Systems with Diffusion Model-Based Channel Acquisition—0
Dataset-Agnostic Recommender Systems—0
Bridging Smart Meter Gaps: A Benchmark of Statistical, Machine Learning and Time Series Foundation Models for Data Imputation—0
Boundary-enhanced time series data imputation with long-term dependency diffusion models—0
Russian Financial Statements Database: A firm-level collection of the universe of financial statementsCode2
BRATI: Bidirectional Recurrent Attention for Time-Series Imputation—0
Representation Learning of Lab Values via Masked AutoEncoderCode0
On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message PassingCode1
Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal LearningCode2
STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation—0
Invariant debiasing learning for recommendation via biased imputationCode0
To Predict or Not To Predict? Proportionally Masked Autoencoders for Tabular Data ImputationCode0
SketchFill: Sketch-Guided Code Generation for Imputing Derived Missing Values—0
Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature ScalesCode0
Navigating Data Corruption in Machine Learning: Balancing Quality, Quantity, and Imputation StrategiesCode0
Optimizing Fintech Marketing: A Comparative Study of Logistic Regression and XGBoost—0
Intelligent Approaches to Predictive Analytics in Occupational Health and Safety in India—0
Using matrix-product states for time-series machine learningCode1
MARIA: a Multimodal Transformer Model for Incomplete Healthcare Data—0
Comparative Analysis of Machine Learning-Based Imputation Techniques for Air Quality Datasets with High Missing Data Rates—0
Show:102550
← PrevPage 3 of 25Next →
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