| Learning Representations for Time Series Clustering | Dec 1, 2019 | Anomaly DetectionClustering | CodeCode Available | 0 |
| Latent Ordinary Differential Equations for Irregularly-Sampled Time Series | Dec 1, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices | Dec 1, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Training Distributed Deep Recurrent Neural Networks with Mixed Precision on GPU Clusters | Nov 30, 2019 | GPUTime Series | —Unverified | 0 |
| Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019 | Nov 29, 2019 | Systematic Literature ReviewTime Series | —Unverified | 0 |
| On model selection for scalable time series forecasting in transport networks | Nov 29, 2019 | ClusteringDeep Learning | —Unverified | 0 |
| A Multilayered Block Network Model to Forecast Large Dynamic Transportation Graphs: an Application to US Air Transport | Nov 29, 2019 | Bayesian InferenceData Augmentation | —Unverified | 0 |
| Application of Time Series Analysis to Traffic Accidents in Los Angeles | Nov 28, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Analysis of Hydrological and Suspended Sediment Events from Mad River Watershed using Multivariate Time Series Clustering | Nov 28, 2019 | ClusteringTime Series | —Unverified | 0 |
| Topological Machine Learning for Multivariate Time Series | Nov 27, 2019 | Activity RecognitionBIG-bench Machine Learning | CodeCode Available | 0 |
| LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data | Nov 27, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers | Nov 27, 2019 | ClassificationGeneral Classification | —Unverified | 0 |
| TimeCaps: Capturing Time Series Data With Capsule Networks | Nov 26, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks | Nov 26, 2019 | Decision MakingGPU | —Unverified | 0 |
| Network Intrusion Detection based on LSTM and Feature Embedding | Nov 26, 2019 | Binary ClassificationIntrusion Detection | —Unverified | 0 |
| Universal EEG Encoder for Learning Diverse Intelligent Tasks | Nov 26, 2019 | EEGElectroencephalogram (EEG) | —Unverified | 0 |
| A Time Series Analysis of Emotional Loading in Central Bank Statements | Nov 26, 2019 | Emotion RecognitionTime Series | —Unverified | 0 |
| Functional Bayesian Filter | Nov 24, 2019 | State EstimationTime Series | —Unverified | 0 |
| Correlative Channel-Aware Fusion for Multi-View Time Series Classification | Nov 24, 2019 | ClassificationGeneral Classification | —Unverified | 0 |
| High-Dimensional Forecasting in the Presence of Unit Roots and Cointegration | Nov 24, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality | Nov 22, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset | Nov 22, 2019 | Emotion RecognitionTime Series | CodeCode Available | 0 |
| Differentiable Algorithm for Marginalising Changepoints | Nov 22, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Deep Reinforcement Learning for Trading | Nov 22, 2019 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values | Nov 22, 2019 | Missing ValuesMultivariate Time Series Forecasting | —Unverified | 0 |