| 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 |
| Relational State-Space Model for Stochastic Multi-Object Systems | Jan 13, 2020 | ObjectTime Series | —Unverified | 0 |
| Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models | Jan 10, 2020 | Deep LearningElectrocardiography (ECG) | —Unverified | 0 |
| Temporally Folded Convolutional Neural Networks for Sequence Forecasting | Jan 10, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Forecasting NIFTY 50 benchmark Index using Seasonal ARIMA time series models | Jan 9, 2020 | BenchmarkingTime Series | —Unverified | 0 |
| Supervised Hyperalignment for multi-subject fMRI data alignment | Jan 9, 2020 | Multi-Subject Fmri Data AlignmentTime Series | —Unverified | 0 |
| Explainable Deep Convolutional Candlestick Learner | Jan 8, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Don't Forget The Past: Recurrent Depth Estimation from Monocular Video | Jan 8, 2020 | Depth CompletionDepth Estimation | —Unverified | 0 |
| Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering | Jan 7, 2020 | ClusteringMissing Values | —Unverified | 0 |
| Discovering Nonlinear Relations with Minimum Predictive Information Regularization | Jan 7, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Prediction of MRI Hardware Failures based on Image Features using Time Series Classification | Jan 5, 2020 | General ClassificationTime Series | —Unverified | 0 |
| Data Curves Clustering Using Common Patterns Detection | Jan 5, 2020 | ClusteringTime Series | —Unverified | 0 |
| Root Cause Detection Among Anomalous Time Series Using Temporal State Alignment | Jan 4, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Biologically-Motivated Deep Learning Method using Hierarchical Competitive Learning | Jan 4, 2020 | Deep LearningTime Series | CodeCode Available | 0 |
| Temporal Tensor Transformation Network for Multivariate Time Series Prediction | Jan 4, 2020 | Feature EngineeringPrediction | —Unverified | 0 |
| Source Model Selection for Deep Learning in the Time Series Domain | Jan 3, 2020 | Model SelectionTime Series | CodeCode Available | 1 |
| Hydrological time series forecasting using simple combinations: Big data testing and investigations on one-year ahead river flow predictability | Jan 2, 2020 | BenchmarkingManagement | —Unverified | 0 |
| A Deep Structural Model for Analyzing Correlated Multivariate Time Series | Jan 2, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Cost-effective Interactive Attention Learning with Neural Attention Process | Jan 1, 2020 | RerankingTime Series | CodeCode Available | 0 |
| Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations | Jan 1, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Learnable Group Transform For Time-Series | Jan 1, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time | Jan 1, 2020 | BIG-bench Machine LearningNumerical Integration | CodeCode Available | 0 |
| Core-Collapse Supernova Gravitational-Wave Search and Deep Learning Classification | Jan 1, 2020 | ClassificationDeep Learning | —Unverified | 0 |
| INFERENCE, PREDICTION, AND ENTROPY RATE OF CONTINUOUS-TIME, DISCRETE-EVENT PROCESSES | Jan 1, 2020 | PredictionTime Series | —Unverified | 0 |
| Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation | Jan 1, 2020 | ImputationMachine Translation | —Unverified | 0 |
| Improved Modeling of Complex Systems Using Hybrid Physics/Machine Learning/Stochastic Models | Jan 1, 2020 | BIG-bench Machine LearningTime Series | —Unverified | 0 |