SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 926–950 of 1237 papers

TitleStatusHype
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