| Cryptocurrency portfolio optimization with multivariate normal tempered stable processes and Foster-Hart risk | Oct 18, 2020 | Portfolio OptimizationTime Series | —Unverified | 0 | 0 |
| To VaR, or Not to VaR, That is the Question | Jan 21, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Toward a Foundation Model for Time Series Data | Oct 5, 2023 | modelSelf-Supervised Learning | —Unverified | 0 | 0 |
| Toward a generic representation of random variables for machine learning | Jun 2, 2015 | BIG-bench Machine LearningClustering | —Unverified | 0 | 0 |
| Time-Varying Poisson Autoregression | Jul 22, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Time-varying Identification of Guided Wave Propagation under Varying Temperature via Non-Stationary Time Series Models | Jan 12, 2022 | Structural Health MonitoringTAR | —Unverified | 0 | 0 |
| Hydrological time series forecasting using simple combinations: Big data testing and investigations on one-year ahead river flow predictability | Jan 2, 2020 | BenchmarkingManagement | —Unverified | 0 | 0 |
| Time-Varying Dynamic Bayesian Networks | Dec 1, 2009 | Computational EfficiencyTime Series | —Unverified | 0 | 0 |
| Dynamic Interpretable Change Point Detection | Nov 8, 2022 | Change Point DetectionDecision Making | —Unverified | 0 | 0 |
| Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand | Apr 25, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Hydroelectric Generation Forecasting with Long Short Term Memory (LSTM) Based Deep Learning Model for Turkey | Sep 18, 2021 | Deep LearningTime Series | —Unverified | 0 | 0 |
| Towards a Deep Learning-based Online Quality Prediction System for Welding Processes | Oct 19, 2023 | ARCContinual Learning | —Unverified | 0 | 0 |
| Cryptocurrency Market Consolidation in 2020--2021 | Dec 13, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time Series Process Optimization | Feb 27, 2024 | Bayesian InferenceBayesian Optimization | —Unverified | 0 | 0 |
| Time-Transformed Test for the Explosive Bubbles under Non-stationary Volatility | Dec 27, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Hydroclimatic time series features at multiple time scales | Dec 2, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Correlation recurrent units: A novel neural architecture for improving the predictive performance of time-series data | Nov 30, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| A Tale of Tail Covariances (and Diversified Tails) | Feb 27, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile | Nov 5, 2018 | ClusteringRepresentation Learning | —Unverified | 0 | 0 |
| Towards a Rigorous Evaluation of Explainability for Multivariate Time Series | Apr 6, 2021 | BIG-bench Machine LearningDecision Making | —Unverified | 0 | 0 |
| An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions | Apr 18, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| A Comparative Analysis of Machine Learning Methods for Lane Change Intention Recognition Using Vehicle Trajectory Data | Jul 28, 2023 | Autonomous VehiclesIntent Detection | —Unverified | 0 | 0 |
| Time Tracker: Mixture-of-Experts-Enhanced Foundation Time Series Forecasting Model with Decoupled Training Pipelines | May 21, 2025 | Graph LearningMixture-of-Experts | —Unverified | 0 | 0 |
| Towards a universal neural network encoder for time series | May 10, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Hybrid Variational Autoencoder for Time Series Forecasting | Mar 13, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Time-to-Green predictions for fully-actuated signal control systems with supervised learning | Aug 24, 2022 | Motion PlanningTime Series | —Unverified | 0 | 0 |
| Time to Focus: A Comprehensive Benchmark Using Time Series Attribution Methods | Feb 8, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Metaheuristics optimized feedforward neural networks for efficient stock price prediction | Jun 23, 2019 | Decision MakingStock Price Prediction | —Unverified | 0 | 0 |
| Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach | Dec 27, 2019 | continuous-controlContinuous Control | —Unverified | 0 | 0 |
| Time to Embed: Unlocking Foundation Models for Time Series with Channel Descriptions | May 20, 2025 | Feature EngineeringRepresentation Learning | —Unverified | 0 | 0 |
| Towards black-box parameter estimation | Mar 27, 2023 | parameter estimationTime Series | —Unverified | 0 | 0 |
| Towards Controllable Time Series Generation | Mar 6, 2024 | Time SeriesTime Series Generation | —Unverified | 0 | 0 |
| Hybrid State Space-based Learning for Sequential Data Prediction with Joint Optimization | Sep 19, 2023 | Feature EngineeringTime Series | —Unverified | 0 | 0 |
| Towards Deep Industrial Transfer Learning: Clustering for Transfer Case Selection | Apr 4, 2022 | ClusteringTime Series | —Unverified | 0 | 0 |
| Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data | Jun 9, 2021 | Anomaly DetectionDeep Learning | —Unverified | 0 | 0 |
| Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting | May 25, 2024 | MambaState Space Models | —Unverified | 0 | 0 |
| Cross-user activity recognition via temporal relation optimal transport | Mar 12, 2024 | Activity RecognitionDomain Adaptation | —Unverified | 0 | 0 |
| A tail dependence-based MST and their topological indicators in modelling systemic risk in the European insurance sector | Mar 10, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Times series averaging from a probabilistic interpretation of time-elastic kernel | May 26, 2015 | ClusteringDynamic Time Warping | —Unverified | 0 | 0 |
| TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss | Nov 19, 2023 | Multivariate Time Series ForecastingTime Series | —Unverified | 0 | 0 |
| Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers | Mar 13, 2025 | Computational EfficiencyTime Series | —Unverified | 0 | 0 |
| Time-Space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series | Jan 29, 2019 | ClassificationCrop Classification | —Unverified | 0 | 0 |
| Hybrid Neural Networks for Learning the Trend in Time Series | Jul 1, 2017 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Towards Experienced Anomaly Detector through Reinforcement Learning | Apr 29, 2018 | Anomaly Detectionreinforcement-learning | —Unverified | 0 | 0 |
| Hybrid Model for Anomaly Detection on Call Detail Records by Time Series Forecasting | Jun 7, 2020 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| Towards Financially Inclusive Credit Products Through Financial Time Series Clustering | Feb 16, 2024 | ClusteringTime Series | —Unverified | 0 | 0 |
| Towards Foundation Models for Critical Care Time Series | Nov 25, 2024 | DiversityTime Series | —Unverified | 0 | 0 |
| Towards Foundation Models for the Industrial Forecasting of Chemical Kinetics | Aug 20, 2024 | Time Series | —Unverified | 0 | 0 |
| Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface | Jul 4, 2021 | Scene UnderstandingTime Series | —Unverified | 0 | 0 |
| Cross-Recurrence Quantification Analysis of Categorical and Continuous Time Series: an R package | Oct 1, 2013 | Computational EfficiencyTime Series | —Unverified | 0 | 0 |