| Dimensionality reduction to maximize prediction generalization capability | Mar 1, 2020 | Dimensionality ReductionPrediction | CodeCode Available | 1 |
| Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows | Feb 24, 2020 | Density EstimationIrregular Time Series | CodeCode Available | 1 |
| Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification | Feb 24, 2020 | General ClassificationTime Series | CodeCode Available | 1 |
| Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values | Feb 21, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicity Detection | Feb 21, 2020 | Anomaly DetectionClustering | CodeCode Available | 1 |
| Forecasting Foreign Exchange Rate: A Multivariate Comparative Analysis between Traditional Econometric, Contemporary Machine Learning & Deep Learning Techniques | Feb 19, 2020 | regressionTime Series | CodeCode Available | 1 |
| Deep reconstruction of strange attractors from time series | Feb 14, 2020 | Dimensionality ReductionTime Series | CodeCode Available | 1 |
| ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting | Feb 11, 2020 | Deep LearningTime Series | CodeCode Available | 1 |
| Selecting time-series hyperparameters with the artificial jackknife | Feb 11, 2020 | Missing ValuesTime Series | CodeCode Available | 1 |
| Improving S&P stock prediction with time series stock similarity | Feb 8, 2020 | PredictionStock Market Prediction | CodeCode Available | 1 |
