| Quantifying Long Range Dependence in Language and User Behavior to improve RNNs | May 23, 2019 | ArticlesLanguage Modeling | —Unverified | 0 |
| Population-based Global Optimisation Methods for Learning Long-term Dependencies with RNNs | May 23, 2019 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Effect of shapes of activation functions on predictability in the echo state network | May 22, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection | May 22, 2019 | Generative Adversarial NetworkSleep apnea detection | —Unverified | 0 |
| Topological Feature Vectors for Chatter Detection in Turning Processes | May 21, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Time Series Analysis and Forecasting of the US Housing Starts using Econometric and Machine Learning Model | May 20, 2019 | regressionTime Series | —Unverified | 0 |
| Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets | May 20, 2019 | Conformal PredictionPrediction | —Unverified | 0 |
| Learning Ensembles of Anomaly Detectors on Synthetic Data | May 20, 2019 | Anomaly DetectionTime Series | —Unverified | 0 |
| On Selecting Stable Predictors in Time Series Models | May 18, 2019 | feature selectionTime Series | —Unverified | 0 |
| Enforcing constraints for time series prediction in supervised, unsupervised and reinforcement learning | May 17, 2019 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Automatic Posterior Transformation for Likelihood-Free Inference | May 17, 2019 | Bayesian InferenceTime Series | CodeCode Available | 1 |
| Semantic Analysis of Traffic Camera Data: Topic Signal Extraction and Anomalous Event Detection | May 17, 2019 | Anomaly DetectionDiagnostic | —Unverified | 0 |
| Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces | May 17, 2019 | Image ImputationImputation | CodeCode Available | 1 |
| Biosignal Generation and Latent Variable Analysis with Recurrent Generative Adversarial Networks | May 17, 2019 | Data AugmentationTime Series | —Unverified | 0 |
| Deep Learning for Multi-Scale Changepoint Detection in Multivariate Time Series | May 16, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| TSXplain: Demystification of DNN Decisions for Time-Series using Natural Language and Statistical Features | May 15, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| A self-organising eigenspace map for time series clustering | May 14, 2019 | ClusteringTime Series | —Unverified | 0 |
| Online Anomaly Detection with Sparse Gaussian Processes | May 14, 2019 | Anomaly DetectionGaussian Processes | —Unverified | 0 |
| Similarity Grouping-Guided Neural Network Modeling for Maritime Time Series Prediction | May 13, 2019 | PredictionTime Series | —Unverified | 0 |
| Inferring Global Dynamics of a Black-Box System Using Machine Learning | May 10, 2019 | BIG-bench Machine LearningTime Series | —Unverified | 0 |
| Time-Series Event Prediction with Evolutionary State Graph | May 10, 2019 | Graph Neural NetworkPrediction | CodeCode Available | 0 |
| Capturing Evolution Genes for Time Series Data | May 10, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM Networks | May 10, 2019 | Computational EfficiencyPrediction | —Unverified | 0 |
| Differential Recurrent Neural Network and its Application for Human Activity Recognition | May 9, 2019 | Activity RecognitionHuman Activity Recognition | —Unverified | 0 |
| Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting | May 9, 2019 | Demand ForecastingTime Series | CodeCode Available | 0 |
