| A clustering approach to time series forecasting using neural networks: A comparative study on distance-based vs. feature-based clustering methods | Jan 27, 2020 | Anomaly DetectionClustering | CodeCode Available | 0 |
| Multi-label Prediction in Time Series Data using Deep Neural Networks | Jan 27, 2020 | Activity RecognitionEvent Detection | —Unverified | 0 |
| Machine Learning for a Music Glove Instrument | Jan 27, 2020 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Bayesian nonparametric shared multi-sequence time series segmentation | Jan 27, 2020 | SegmentationTime Series | —Unverified | 0 |
| Semi-metric portfolio optimization: a new algorithm reducing simultaneous asset shocks | Jan 26, 2020 | EconometricsManagement | —Unverified | 0 |
| Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning | Jan 26, 2020 | Algorithmic TradingDeep Reinforcement Learning | —Unverified | 0 |
| RePAD: Real-time Proactive Anomaly Detection for Time Series | Jan 24, 2020 | Anomaly DetectionFraud Detection | —Unverified | 0 |
| Modeling state-transition dynamics in resting-state brain signals by the hidden Markov and Gaussian mixture models | Jan 23, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data | Jan 23, 2020 | Graph Neural NetworkLink Prediction | —Unverified | 0 |
| Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case | Jan 23, 2020 | BIG-bench Machine LearningTime Series | CodeCode Available | 1 |
| A Bayesian Long Short-Term Memory Model for Value at Risk and Expected Shortfall Joint Forecasting | Jan 23, 2020 | Bayesian InferenceTime Series | —Unverified | 0 |
| Stacked Boosters Network Architecture for Short Term Load Forecasting in Buildings | Jan 23, 2020 | Load ForecastingTime Series | —Unverified | 0 |
| A Multi-Scale Tensor Network Architecture for Classification and Regression | Jan 22, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| Data-Driven Approach for Uncertainty Propagation and Reachability Analysis in Dynamical Systems | Jan 21, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Motif Difference Field: A Simple and Effective Image Representation of Time Series for Classification | Jan 21, 2020 | ClusteringGeneral Classification | —Unverified | 0 |
| A Dynamic Bayesian Model for Interpretable Decompositions of Market Behaviour | Jan 20, 2020 | GPUPrediction | —Unverified | 0 |
| Folded Graph Signals: Sensing with Unlimited Dynamic Range | Jan 20, 2020 | Graph SamplingTime Series | —Unverified | 0 |
| Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network | Jan 18, 2020 | Graph Neural NetworkTime Series | —Unverified | 0 |
| Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio Estimation | Jan 17, 2020 | Binary ClassificationChange Point Detection | CodeCode Available | 1 |
| Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization | Jan 17, 2020 | Bayesian InferenceBIG-bench Machine Learning | —Unverified | 0 |
| Stream-Flow Forecasting of Small Rivers Based on LSTM | Jan 16, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Inferring Individual Level Causal Models from Graph-based Relational Time Series | Jan 16, 2020 | Causal InferenceTime Series | —Unverified | 0 |
| Human-like Time Series Summaries via Trend Utility Estimation | Jan 16, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Mind the gap: an experimental evaluation of imputation of missing values techniques in time series | Jan 15, 2020 | ImputationMissing Values | CodeCode Available | 1 |
| For2For: Learning to forecast from forecasts | Jan 14, 2020 | BIG-bench Machine LearningTime Series | —Unverified | 0 |
