| On tracking varying bounds when forecasting bounded time series | Jun 23, 2023 | Time Series | —Unverified | 0 |
| Fractal properties, information theory, and market efficiency | Jun 23, 2023 | InformativenessTime Series | —Unverified | 0 |
| Factor-augmented sparse MIDAS regressions with an application to nowcasting | Jun 23, 2023 | Dimensionality Reductionregression | —Unverified | 0 |
| Enhanced Dengue Outbreak Prediction in Tamilnadu using Meteorological and Entomological data | Jun 23, 2023 | Time Series | —Unverified | 0 |
| Higher-order Motif-based Time Series Classification for Forced Oscillation Source Location in Power Grids | Jun 23, 2023 | Time SeriesTime Series Classification | —Unverified | 0 |
| Temporal Attention Bottleneck is informative? Interpretability through Disentangled Generative Representations for Energy Time Series Disaggregation | Jun 23, 2023 | Time Series | CodeCode Available | 0 |
| Upscaling Global Hourly GPP with Temporal Fusion Transformer (TFT) | Jun 23, 2023 | Feature ImportanceMissing Values | —Unverified | 0 |
| Price elasticity of electricity demand: Using instrumental variable regressions to address endogeneity and autocorrelation of high-frequency time series | Jun 22, 2023 | Time Series | —Unverified | 0 |
| What Constitutes Good Contrastive Learning in Time-Series Forecasting? | Jun 21, 2023 | Contrastive LearningRepresentation Learning | CodeCode Available | 0 |
| G-NM: A Group of Numerical Time Series Prediction Models | Jun 20, 2023 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| A Deep Learning Model for Heterogeneous Dataset Analysis -- Application to Winter Wheat Crop Yield Prediction | Jun 20, 2023 | Crop Yield PredictionDeep Learning | —Unverified | 0 |
| Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting | Jun 19, 2023 | Knowledge GraphsTime Series | —Unverified | 0 |
| Generating Oscillation Activity with Echo State Network to Mimic the Behavior of a Simple Central Pattern Generator | Jun 19, 2023 | Time Series | —Unverified | 0 |
| Transformer Training Strategies for Forecasting Multiple Load Time Series | Jun 19, 2023 | Load ForecastingTime Series | CodeCode Available | 0 |
| An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition | Jun 19, 2023 | Feature EngineeringLoad Forecasting | —Unverified | 0 |
| Stock Price Prediction using Dynamic Neural Networks | Jun 18, 2023 | Dynamic neural networksPrediction | —Unverified | 0 |
| Successive one-sided Hodrick-Prescott filter with incremental filtering algorithm for nonlinear economic time series | Jun 17, 2023 | Time Series | —Unverified | 0 |
| Convolutional and Deep Learning based techniques for Time Series Ordinal Classification | Jun 16, 2023 | BenchmarkingOrdinal Classification | —Unverified | 0 |
| The Chebyshev Polynomials Of The First Kind For Analysis Rates Shares Of Enterprises | Jun 16, 2023 | Time Series | —Unverified | 0 |
| Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions | Jun 16, 2023 | Time Series | —Unverified | 0 |
| Calculating the matrix profile from noisy data | Jun 16, 2023 | Time Series | —Unverified | 0 |
| Geometric-Based Pruning Rules For Change Point Detection in Multiple Independent Time Series | Jun 15, 2023 | Change Point DetectionComputational Efficiency | —Unverified | 0 |
| Mitigating Cold-start Forecasting using Cold Causal Demand Forecasting Model | Jun 15, 2023 | Causal InferenceDemand Forecasting | —Unverified | 0 |
| Probabilistic Learning of Multivariate Time Series with Temporal Irregularity | Jun 15, 2023 | ImputationTime Series | CodeCode Available | 0 |
| Bootstrap aggregation and confidence measures to improve time series causal discovery | Jun 15, 2023 | Causal DiscoveryTime Series | CodeCode Available | 0 |