| Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data | May 15, 2013 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Hierarchically Regularized Deep Forecasting | Jun 14, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification | Oct 24, 2024 | Text GenerationTime Series | —Unverified | 0 | 0 |
| Time-Series K-means in Causal Inference and Mechanism Clustering for Financial Data | Jan 24, 2022 | Causal InferenceClustering | —Unverified | 0 | 0 |
| AI-Based Decadal Predictive Analysis of Twenty Infectious Diseases in China with an Improved BSTS-MCMC Model | Oct 6, 2023 | ManagementTime Series | —Unverified | 0 | 0 |
| CHIME: Conditional Hallucination and Integrated Multi-scale Enhancement for Time Series Diffusion Model | Jun 4, 2025 | DenoisingHallucination | —Unverified | 0 | 0 |
| Hierarchical regularization networks for sparsification based learning on noisy datasets | Jun 9, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy | Jan 7, 2025 | counterfactualFeature Importance | —Unverified | 0 | 0 |
| Hierarchical Symbolic Dynamic Filtering of Streaming Non-stationary Time Series Data | Feb 6, 2017 | Change DetectionTime Series | —Unverified | 0 | 0 |
| Application of Gaussian Process Regression to Koopman Mode Decomposition for Noisy Dynamic Data | Nov 4, 2019 | regressionTime Series | —Unverified | 0 | 0 |
| Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series | Aug 16, 2023 | Time Series | —Unverified | 0 | 0 |
| High Dimensional Forecasting via Interpretable Vector Autoregression | Dec 17, 2014 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Hierarchic Temporal Convolutional Network With Cross-Domain Encoder for Music Source Separation | Jun 30, 2022 | Audio Source SeparationMusic Source Separation | —Unverified | 0 | 0 |
| Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting | Nov 28, 2022 | Hyperparameter OptimizationModel Selection | —Unverified | 0 | 0 |
| HIERVAR: A Hierarchical Feature Selection Method for Time Series Analysis | Jul 22, 2024 | feature selectionTime Series | —Unverified | 0 | 0 |
| HIFI: Anomaly Detection for Multivariate Time Series with High-order Feature Interactions | Jun 11, 2021 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| Q4EDA: A Novel Strategy for Textual Information Retrieval Based on User Interactions with Visual Representations of Time Series | Jan 19, 2021 | Information RetrievalRetrieval | —Unverified | 0 | 0 |
| Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine | Dec 19, 2024 | Selection biasTime Series | —Unverified | 0 | 0 |
| ChemTime: Rapid and Early Classification for Multivariate Time Series Classification of Chemical Sensors | Dec 15, 2023 | BenchmarkingClassification | —Unverified | 0 | 0 |
| Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting | Mar 4, 2019 | Demand ForecastingManagement | —Unverified | 0 | 0 |
| Explainable nonlinear modelling of multiple time series with invertible neural networks | Jul 1, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop | Mar 2, 2025 | PredictionTime Series | —Unverified | 0 | 0 |
| Explainable Framework for Time-series Analysis via Topological Data Analysis | Oct 10, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Checking the Statistical Assumptions Underlying the Application of the Standard Deviation and RMS Error to Eye-Movement Time Series: A Comparison between Human and Artificial Eyes | Feb 13, 2023 | PositionTime Series | —Unverified | 0 | 0 |
| Application of Deep Interpolation Network for Clustering of Physiologic Time Series | Apr 27, 2020 | ClusteringDiagnostic | —Unverified | 0 | 0 |