SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 251–300 of 1237 papers

TitleStatusHype
Probabilistic Net Load Forecasting for High-Penetration RES Grids Utilizing Enhanced Conditional Diffusion Model—0
ImputeGAP: A Comprehensive Library for Time Series Imputation—0
Exploring Visual Complaints through a test battery in Acquired Brain Injury Patients: A Detailed Analysis of the DiaNAH Dataset—0
Learning Accurate Models on Incomplete Data with Minimal Imputation—0
Identifying Critical Phases for Disease Onset with Sparse Haematological Biomarkers—0
Effective and Efficient Cross-City Traffic Knowledge Transfer: A Privacy-Preserving Perspective—0
OPTIMUS: Predicting Multivariate Outcomes in Alzheimer's Disease Using Multi-modal Data amidst Missing Values—0
Incomplete Multi-view Clustering via Diffusion Contrastive Generation—0
A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph—0
The influence of missing data mechanisms and simple missing data handling techniques on fairness—0
Water Quality Data Imputation via A Fast Latent Factorization of Tensors with PID-based Optimizer—0
WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion ModelsCode0
Leveraging Large Language Models to Address Data Scarcity in Machine Learning: Applications in Graphene SynthesisCode0
OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels—0
Modality-Agnostic Style Transfer for Holistic Feature Imputation—0
Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios—0
Multiple Linked Tensor FactorizationCode0
Evaluation of Missing Data Imputation for Time Series Without Ground Truth—0
Predicting Fetal Birthweight from High Dimensional Data using Advanced Machine Learning—0
Imputation Strategies for Rightcensored Wages in Longitudinal Datasets—0
A Bayesian Perspective on Uncertainty Quantification for Estimated Graph Signals—0
From Abstract to Actionable: Pairwise Shapley Values for Explainable AICode0
Masking the Gaps: An Imputation-Free Approach to Time Series Modeling with Missing Data—0
Single-Cell Proteomics Using Mass Spectrometry—0
Batch-Adaptive Annotations for Causal Inference with Complex-Embedded Outcomes—0
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
General Time-series Model for Universal Knowledge Representation of Multivariate Time-Series data—0
Data Wrangling Task Automation Using Code-Generating Language Models—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
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning—0
Prediction of Lung Metastasis from Hepatocellular Carcinoma using the SEER DatabaseCode0
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
Bridging Smart Meter Gaps: A Benchmark of Statistical, Machine Learning and Time Series Foundation Models for Data Imputation—0
Dataset-Agnostic Recommender Systems—0
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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