| Dictionary-Learning-Based Data Pruning for System Identification | Feb 17, 2025 | Dictionary LearningTime Series | —Unverified | 0 | 0 |
| Diagnostic Uncertainty Limits the Potential of Early Warning Signals to Identify Epidemic Emergence | Apr 15, 2025 | DiagnosticTime Series | —Unverified | 0 | 0 |
| Diagnostic Spatio-temporal Transformer with Faithful Encoding | May 26, 2023 | DiagnosticTime Series | —Unverified | 0 | 0 |
| Diagnosis of systemic risk and contagion across financial sectors | Jan 17, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| A Self-organizing Interval Type-2 Fuzzy Neural Network for Multi-Step Time Series Prediction | Jul 10, 2024 | PredictionTime Series | —Unverified | 0 | 0 |
| DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting | May 14, 2024 | ClusteringCollaborative Filtering | —Unverified | 0 | 0 |
| Behave-XAI: Deep Explainable Learning of Behavioral Representational Data | Dec 30, 2022 | Explainable Artificial Intelligence (XAI)Time Series | —Unverified | 0 | 0 |
| DeVLearn: A Deep Visual Learning Framework for Localizing Temporary Faults in Power Systems | Nov 9, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Devil in the Detail: Attack Scenarios in Industrial Applications | May 24, 2019 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| BEAT: Balanced Frequency Adaptive Tuning for Long-Term Time-Series Forecasting | Jan 31, 2025 | Time SeriesTime Series Forecasting | —Unverified | 0 | 0 |
| A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System | Dec 7, 2024 | Anomaly DetectionContrastive Learning | —Unverified | 0 | 0 |
| A consistent deterministic regression tree for non-parametric prediction of time series | May 7, 2014 | Predictionregression | —Unverified | 0 | 0 |
| DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series | Jun 6, 2025 | Time Series | —Unverified | 0 | 0 |
| Development of A Stochastic Traffic Environment with Generative Time-Series Models for Improving Generalization Capabilities of Autonomous Driving Agents | Jun 10, 2020 | Autonomous DrivingReinforcement Learning (RL) | —Unverified | 0 | 0 |
| Development of a Neural Network-based Method for Improved Imputation of Missing Values in Time Series Data by Repurposing DataWig | Aug 18, 2023 | Decision MakingImputation | —Unverified | 0 | 0 |
| Development of an Algorithm for Identifying Changes in System Dynamics from Time Series | Jun 28, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Beam Prediction based on Large Language Models | Aug 16, 2024 | Beam PredictionPrediction | —Unverified | 0 | 0 |
| A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs | Apr 22, 2020 | PredictionTime Series | —Unverified | 0 | 0 |
| Development and Evaluation of Recurrent Neural Network based Models for Hourly Traffic Volume and AADT Prediction | Aug 15, 2018 | ImputationMissing Values | —Unverified | 0 | 0 |
| Detrended partial cross-correlation analysis of two nonstationary time series influenced by common external forces | Apr 15, 2015 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Deterministic Reservoir Computing for Chaotic Time Series Prediction | Jan 26, 2025 | PredictionTime Series | —Unverified | 0 | 0 |
| Determining the Optimal Number of Clusters for Time Series Datasets with Symbolic Pattern Forest | Oct 1, 2023 | ClusteringTime Series | —Unverified | 0 | 0 |
| BayesLDM: A Domain-Specific Language for Probabilistic Modeling of Longitudinal Data | Sep 12, 2022 | Bayesian InferenceTime Series | —Unverified | 0 | 0 |
| Changes to the extreme and erratic behaviour of cryptocurrencies during COVID-19 | Dec 12, 2019 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| Determination of the effective cointegration rank in high-dimensional time-series predictive regressions | Apr 24, 2023 | Time Series | —Unverified | 0 | 0 |