| On Tractable Computation of Expected Predictions | Oct 5, 2019 | FairnessImputation | CodeCode Available | 0 |
| Blood lactate concentration prediction in critical care patients: handling missing values | Oct 3, 2019 | Decision MakingImputation | —Unverified | 0 |
| ProtRank: Bypassing the imputation of missing values in differential expression analysis of proteomic data | Sep 30, 2019 | ImputationMissing Values | CodeCode Available | 0 |
| RISE and DISE: Two Frameworks for Learning from Time Series with Missing Data | Sep 25, 2019 | Missing ValuesRepresentation Learning | —Unverified | 0 |
| Latent Gaussian process with composite likelihoods and numerical quadrature | Sep 4, 2019 | ClusteringDimensionality Reduction | —Unverified | 0 |
| Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs | Sep 3, 2019 | Automated Feature EngineeringFeature Engineering | CodeCode Available | 0 |
| Data Context Adaptation for Accurate Recommendation with Additional Information | Aug 22, 2019 | Missing Values | —Unverified | 0 |
| Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension | Aug 12, 2019 | Gaussian ProcessesImputation | CodeCode Available | 0 |
| Autoregressive-Model-Based Methods for Online Time Series Prediction with Missing Values: an Experimental Evaluation | Aug 10, 2019 | ImputationMissing Values | —Unverified | 0 |
| E2GAN: End-to-End Generative Adversarial Network or Multivariate Time Series Imputation | Aug 10, 2019 | Generative Adversarial NetworkImputation | —Unverified | 0 |
