| Gaussian Process Prior Variational Autoencoders | Oct 28, 2018 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects | Oct 1, 2018 | regressionTime Series | CodeCode Available | 1 |
| Proximity Forest: An effective and scalable distance-based classifier for time series | Aug 31, 2018 | AttributeEarth Observation | CodeCode Available | 1 |
| Interpretable Time Series Classification using All-Subsequence Learning and Symbolic Representations in Time and Frequency Domains | Aug 12, 2018 | AllClassification | CodeCode Available | 1 |
| Differentiable Compositional Kernel Learning for Gaussian Processes | Jun 12, 2018 | Bayesian OptimizationGaussian Processes | CodeCode Available | 1 |
| Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare | Jun 5, 2018 | Gaussian ProcessesTime Series | CodeCode Available | 1 |
| EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals | Jun 5, 2018 | Data AugmentationEEG | CodeCode Available | 1 |
| Real-time Air Pollution prediction model based on Spatiotemporal Big data | Apr 5, 2018 | Air Pollution PredictionPrediction | CodeCode Available | 1 |
| Jumping VaR: Order Statistics Volatility Estimator for Jumps Classification and Market Risk Modeling | Mar 22, 2018 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Probabilistic Recurrent State-Space Models | Jan 31, 2018 | Gaussian ProcessesState Space Models | CodeCode Available | 1 |
