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Imputation
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Substituting missing data with values according to some criteria.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
General Time-series Model for Universal Knowledge Representation of Multivariate Time-Series data
Data Wrangling Task Automation Using Code-Generating Language Models
LAST SToP For Modeling Asynchronous Time Series
MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks
Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees
CoSTI: Consistency Models for (a faster) Spatio-Temporal Imputation
CodeBrain: Impute Any Brain MRI via Instance-specific Scalar-quantized Codes
A technical review of multi-omics data integration methods: from classical statistical to deep generative approaches
WARP: An Efficient Engine for Multi-Vector Retrieval
RAINER: A Robust Ensemble Learning Grid Search-Tuned Framework for Rainfall Patterns Prediction
Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees
AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation
Longitudinal Missing Data Imputation for Predicting Disability Stage of Patients with Multiple Sclerosis
TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning
Prediction of Lung Metastasis from Hepatocellular Carcinoma using the SEER Database
DeepIFSAC: Deep Imputation of Missing Values Using Feature and Sample Attention within Contrastive Framework
Data Enrichment Opportunities for Distribution Grid Cable Networks using Variational Autoencoders
Precision Adaptive Imputation Network : An Unified Technique for Mixed Datasets
DPERC: Direct Parameter Estimation for Mixed Data
Decision Transformers for RIS-Assisted Systems with Diffusion Model-Based Channel Acquisition
Bridging Smart Meter Gaps: A Benchmark of Statistical, Machine Learning and Time Series Foundation Models for Data Imputation
Dataset-Agnostic Recommender Systems
Boundary-enhanced time series data imputation with long-term dependency diffusion models
Russian Financial Statements Database: A firm-level collection of the universe of financial statements
BRATI: Bidirectional Recurrent Attention for Time-Series Imputation
Representation Learning of Lab Values via Masked AutoEncoder
On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing
Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning
Invariant debiasing learning for recommendation via biased imputation
SketchFill: Sketch-Guided Code Generation for Imputing Derived Missing Values
To Predict or Not To Predict? Proportionally Masked Autoencoders for Tabular Data Imputation
Navigating Data Corruption in Machine Learning: Balancing Quality, Quantity, and Imputation Strategies
Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales
Using matrix-product states for time-series machine learning
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