| An Empirical Study of Graph-Based Approaches for Semi-Supervised Time Series Classification | Apr 16, 2021 | Binary ClassificationGeneral Classification | CodeCode Available | 1 |
| Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants | Apr 16, 2021 | Clusteringfeature selection | —Unverified | 0 |
| Probabilistic water demand forecasting using quantile regression algorithms | Apr 16, 2021 | Demand Forecastingquantile regression | —Unverified | 0 |
| Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions | Apr 16, 2021 | Earth Observationparameter estimation | —Unverified | 0 |
| Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data | Apr 16, 2021 | BenchmarkingCausal Discovery | CodeCode Available | 1 |
| Tracking agitation in people living with dementia in a care environment | Apr 15, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity | Apr 15, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| HIVE-COTE 2.0: a new meta ensemble for time series classification | Apr 15, 2021 | General ClassificationTime Series | CodeCode Available | 1 |
| Forecasting COVID-19 Counts At A Single Hospital: A Hierarchical Bayesian Approach | Apr 14, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Process Outcome Prediction: CNN vs. LSTM (with Attention) | Apr 14, 2021 | General ClassificationPrediction | —Unverified | 0 |
| Bayesian Optimisation for a Biologically Inspired Population Neural Network | Apr 13, 2021 | Bayesian OptimisationRhythm | —Unverified | 0 |
| Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations | Apr 13, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| A Bayesian analysis of gain-loss asymmetry | Apr 13, 2021 | SensitivityTime Series | —Unverified | 0 |
| LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer Information | Apr 13, 2021 | counterfactualDecision Making | CodeCode Available | 0 |
| Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx | Apr 12, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| A Fast Evidential Approach for Stock Forecasting | Apr 12, 2021 | PredictionStock Price Prediction | —Unverified | 0 |
| Weak Form Generalized Hamiltonian Learning | Apr 11, 2021 | FormTime Series | CodeCode Available | 1 |
| Analysis of bank leverage via dynamical systems and deep neural networks | Apr 11, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Boosted Embeddings for Time Series Forecasting | Apr 10, 2021 | Deep LearningTime Series | —Unverified | 0 |
| Large-scale nonlinear Granger causality for inferring directed dependence from short multivariate time-series data | Apr 9, 2021 | Causal DiscoveryCausal Inference | —Unverified | 0 |
| Deep Transformer Networks for Time Series Classification: The NPP Safety Case | Apr 9, 2021 | General ClassificationTime Series | —Unverified | 0 |
| Deep Time Series Forecasting with Shape and Temporal Criteria | Apr 9, 2021 | Change DetectionDiversity | CodeCode Available | 1 |
| DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales | Apr 9, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Granger Causality Based Hierarchical Time Series Clustering for State Estimation | Apr 9, 2021 | ClusteringDimensionality Reduction | —Unverified | 0 |
| Context-self contrastive pretraining for crop type semantic segmentation | Apr 9, 2021 | Contrastive LearningSegmentation | CodeCode Available | 1 |
