| Deep Imputation of Missing Values in Time Series Health Data: A Review with Benchmarking | Feb 10, 2023 | BenchmarkingDeep Learning | —Unverified | 0 | 0 |
| Smart Meter Data Anomaly Detection using Variational Recurrent Autoencoders with Attention | Jun 8, 2022 | Anomaly DetectionManagement | —Unverified | 0 | 0 |
| Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation | Mar 18, 2024 | Graph Neural NetworkImputation | —Unverified | 0 | 0 |
| Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings | Jun 16, 2022 | ImputationMissing Values | —Unverified | 0 | 0 |
| Case Studies of Causal Discovery from IT Monitoring Time Series | Jul 28, 2023 | Causal DiscoveryMissing Values | —Unverified | 0 | 0 |
| Deep Set Neural Networks for forecasting asynchronous bioprocess timeseries | Dec 4, 2023 | ImputationIrregular Time Series | —Unverified | 0 | 0 |
| Deep Surface Normal Estimation on the 2-Sphere with Confidence Guided Semantic Attention | Aug 1, 2020 | Missing ValuesSurface Normal Estimation | —Unverified | 0 | 0 |
| DepthLab: From Partial to Complete | Dec 24, 2024 | Depth CompletionMissing Values | —Unverified | 0 | 0 |
| Depth Restoration: A fast low-rank matrix completion via dual-graph regularization | Jul 5, 2019 | Low-Rank Matrix CompletionMatrix Completion | —Unverified | 0 | 0 |
| Detecting Chronic Kidney Disease(CKD) at the Initial Stage: A Novel Hybrid Feature-selection Method and Robust Data Preparation Pipeline for Different ML Techniques | Mar 2, 2022 | feature selectionImputation | —Unverified | 0 | 0 |
| Detecting Concept Drift in the Presence of Sparsity -- A Case Study of Automated Change Risk Assessment System | Jul 27, 2022 | Drift DetectionImputation | —Unverified | 0 | 0 |
| ADO: Automatic Data Optimization for Inputs in LLM Prompts | Feb 17, 2025 | Missing ValuesPrompt Engineering | —Unverified | 0 | 0 |
| Detection of Multidecadal Changes in Vegetation Dynamics and Association with Intra-annual Climate Variability in the Columbia River Basin | May 19, 2021 | Missing Values | —Unverified | 0 | 0 |
| Development and Evaluation of Recurrent Neural Network based Models for Hourly Traffic Volume and AADT Prediction | Aug 15, 2018 | ImputationMissing Values | —Unverified | 0 | 0 |
| Development of a Neural Network-based Method for Improved Imputation of Missing Values in Time Series Data by Repurposing DataWig | Aug 18, 2023 | Decision MakingImputation | —Unverified | 0 | 0 |
| Development of fully intuitionistic fuzzy data envelopment analysis model with missing data: an application to Indian police sector | Jul 27, 2022 | Decision MakingMissing Values | —Unverified | 0 | 0 |
| Diachrony-aware Induction of Binary Latent Representations from Typological Features | Nov 1, 2017 | Missing Values | —Unverified | 0 | 0 |
| Solar Power Prediction Using Machine Learning | Mar 11, 2023 | feature selectionMissing Values | —Unverified | 0 | 0 |
| Can auto-encoders help with filling missing data? | Feb 26, 2020 | Missing Values | —Unverified | 0 | 0 |
| Calibration of prediction rules for life-time outcomes using prognostic Cox regression survival models and multiple imputations to account for missing predictor data with cross-validatory assessment | May 4, 2021 | ImputationMissing Values | —Unverified | 0 | 0 |
| A DEMATEL-Based Completion Method for Incomplete Pairwise Comparison Matrix in AHP | Jul 23, 2016 | Decision MakingMissing Values | —Unverified | 0 | 0 |
| Dimensionality reduction with missing values imputation | Jul 2, 2017 | BIG-bench Machine LearningDimensionality Reduction | —Unverified | 0 | 0 |
| Variational Auto-Decoder: A Method for Neural Generative Modeling from Incomplete Data | Mar 3, 2019 | DecoderMissing Values | —Unverified | 0 | 0 |
| DIM-SUM: Dynamic IMputation for Smart Utility Management | Jun 24, 2025 | ImputationManagement | —Unverified | 0 | 0 |
| Discordance Minimization-based Imputation Algorithms for Missing Values in Rating Data | Nov 7, 2023 | ImputationMissing Values | —Unverified | 0 | 0 |