| Explicit construction of recurrent neural networks effectively approximating discrete dynamical systems | Sep 28, 2024 | Time Series | —Unverified | 0 |
| Explicit Domain Adaptation with Loosely Coupled Samples | Apr 24, 2020 | Autonomous DrivingDomain Adaptation | —Unverified | 0 |
| Explicitly Solvable Continuous-time Inference for Partially Observed Markov Processes | Jan 2, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecasting | Mar 28, 2024 | Graph LearningTime Series | —Unverified | 0 |
| Exploiting multi-temporal information for improved speckle reduction of Sentinel-1 SAR images by deep learning | Feb 1, 2021 | DenoisingTime Series | —Unverified | 0 |
| Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All Networks | Oct 31, 2016 | AllObject Recognition | —Unverified | 0 |
| Exploiting statistical dependencies of time series with hierarchical correlation reconstruction | Jul 11, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Exploiting the Power of Levenberg-Marquardt Optimizer with Anomaly Detection in Time Series | Nov 11, 2021 | Anomaly DetectionChange Detection | —Unverified | 0 |
| Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants | Apr 16, 2021 | Clusteringfeature selection | —Unverified | 0 |
| A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs | Apr 22, 2020 | PredictionTime Series | —Unverified | 0 |
