| Parsimonious modeling with Information Filtering Networks | Feb 23, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Parsimonious Network based on Fuzzy Inference System (PANFIS) for Time Series Feature Prediction of Low Speed Slew Bearing Prognosis | Feb 5, 2018 | PrognosisTime Series | —Unverified | 0 |
| Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning | Oct 16, 2020 | quantile regressionregression | —Unverified | 0 |
| Estimating Reproducible Functional Networks Associated with Task Dynamics using Unsupervised LSTMs | May 6, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Implementing a new fully stepwise decomposition-based sampling technique for the hybrid water level forecasting model in real-world application | Sep 19, 2023 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| A Time-Series Data Augmentation Model through Diffusion and Transformer Integration | May 1, 2025 | Data AugmentationDenoising | —Unverified | 0 |
| Partial Sum Processes of Residual-Based and Wald-type Break-Point Statistics in Time Series Regression Models | Jan 31, 2022 | regressionTime Series | —Unverified | 0 |
| Particle swarm optimization for time series motif discovery | Jan 29, 2015 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Particle Swarm Optimization of Information-Content Weighting of Symbolic Aggregate Approximation | Dec 6, 2013 | PositionTime Series | —Unverified | 0 |
| Estimating the causal effect of an intervention in a time series setting: the C-ARIMA approach | Mar 11, 2021 | Causal InferenceEconometrics | —Unverified | 0 |
| Physics-Informed Graph Neural Network for Spatial-temporal Production Forecasting | Sep 23, 2022 | Graph Neural NetworkProduction Forecasting | —Unverified | 0 |
| Patch-based adaptive temporal filter and residual evaluation | Feb 14, 2024 | DenoisingTime Series | —Unverified | 0 |
| Physics-Informed Neural Networks with Unknown Partial Differential Equations: an Application in Multivariate Time Series | Mar 26, 2025 | Time SeriesUncertainty Quantification | —Unverified | 0 |
| Residual-based physics-informed transfer learning: A hybrid method for accelerating long-term CFD simulations via deep learning | Jun 14, 2022 | CPUGPU | —Unverified | 0 |
| Implementing a GRU Neural Network for Flood Prediction in Ashland City, Tennessee | May 16, 2024 | Time Series | —Unverified | 0 |
| PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification | Feb 11, 2021 | ClassificationGeneral Classification | —Unverified | 0 |
| Impact of the COVID-19 pandemic on the financial market efficiency of price returns, absolute returns, and volatility increment: Evidence from stock and cryptocurrency markets | Apr 26, 2025 | Time Series | —Unverified | 0 |
| DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity | Dec 22, 2017 | DiversityDynamic Time Warping | —Unverified | 0 |
| Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection | Jul 26, 2024 | Anomaly DetectionDeep Learning | —Unverified | 0 |
| Estimating value at risk: LSTM vs. GARCH | Jul 21, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |
| CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting | Dec 11, 2023 | Multivariate Time Series ForecastingTime Series | —Unverified | 0 |
| Causal Triple Attention Time Series Forecasting | Sep 29, 2021 | Causal InferenceTime Series | —Unverified | 0 |
| A Time Series Data Analysis of Indian Commercial Dynamism | Sep 21, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Path Signatures for Seizure Forecasting | Aug 18, 2023 | EEGPrediction | —Unverified | 0 |
| A Deep Learning Approach for Motion Forecasting Using 4D OCT Data | Apr 21, 2020 | Deep LearningMotion Compensation | —Unverified | 0 |