| Change point detection for graphical models in the presence of missing values | Jul 11, 2019 | Change Point DetectionImputation | CodeCode Available | 0 | 5 |
| IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records | Jan 9, 2024 | Missing ValuesTime Series | CodeCode Available | 0 | 5 |
| Imbedding Deep Neural Networks | Jan 31, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Impact of non-stationarity on estimating and modeling empirical copulas of daily stock returns | Jun 26, 2015 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Learning compressed representations of blood samples time series with missing data | Oct 20, 2017 | General ClassificationMissing Values | CodeCode Available | 0 | 5 |
| Learning Deep Dissipative Dynamics | Aug 21, 2024 | LEMMATime Series | CodeCode Available | 0 | 5 |
| A Kernel-Based Approach for Accurate Steady-State Detection in Performance Time Series | Jun 4, 2025 | BenchmarkingIrregular Time Series | CodeCode Available | 0 | 5 |
| Identifying stochastic oscillations in single-cell live imaging time series using Gaussian processes | May 25, 2017 | Gaussian ProcessesTime Series | CodeCode Available | 0 | 5 |
| Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand | Apr 26, 2024 | Demand ForecastingTime Series | CodeCode Available | 0 | 5 |
| Learning Efficient Representations of Mouse Movements to Predict User Attention | May 30, 2020 | Re-RankingTime Series | CodeCode Available | 0 | 5 |
| Identifying Unique Causal Network from Nonstationary Time Series | Nov 18, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Identifying Nonstationary Causal Structures with High-Order Markov Switching Models | Jun 25, 2024 | Causal DiscoveryTime Series | CodeCode Available | 0 | 5 |
| Identifying Stochasticity in Time-Series with Autoencoder-Based Content-aware 2D Representation: Application to Black Hole Data | Apr 23, 2023 | Time Series | CodeCode Available | 0 | 5 |
| If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast With GAN | May 3, 2020 | Multivariate Time Series ForecastingProbabilistic Time Series Forecasting | CodeCode Available | 0 | 5 |
| Implementing spectral methods for hidden Markov models with real-valued emissions | Apr 29, 2014 | parameter estimationTime Series | CodeCode Available | 0 | 5 |
| Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective | Jan 27, 2023 | FairnessMultivariate Time Series Forecasting | CodeCode Available | 0 | 5 |
| Challenges in detecting evolutionary forces in language change using diachronic corpora | Nov 3, 2018 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Identifying Latent Stochastic Differential Equations | Jul 12, 2020 | Self-Supervised LearningTime Series | CodeCode Available | 0 | 5 |
| Clustering Market Regimes using the Wasserstein Distance | Oct 22, 2021 | ClusteringTime Series | CodeCode Available | 0 | 5 |
| Learning Multi-Frequency Partial Correlation Graphs | Nov 27, 2023 | Time Series | CodeCode Available | 0 | 5 |
| Identifying cross country skiing techniques using power meters in ski poles | Apr 23, 2019 | BIG-bench Machine LearningTime Series | CodeCode Available | 0 | 5 |
| Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image Classification | Oct 26, 2023 | Computational EfficiencyDecoder | CodeCode Available | 0 | 5 |
| A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series | Jul 15, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data | Nov 18, 2020 | Decision MakingICU Admission | CodeCode Available | 0 | 5 |
| Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past | Mar 11, 2022 | regressionTime Series | CodeCode Available | 0 | 5 |
