| Fixing the Pitfalls of Probabilistic Time-Series Forecasting Evaluation by Kernel Quadrature | Mar 8, 2025 | Probabilistic Time Series ForecastingTime Series | —Unverified | 0 |
| Gaussian Process Kernels for Popular State-Space Time Series Models | Oct 25, 2016 | Gaussian Processesregression | —Unverified | 0 |
| Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination | Jan 7, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data | Jan 9, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Flexible conditional density estimation for time series | Jan 23, 2023 | Density Estimationregression | —Unverified | 0 |
| Learning Temporal Causal Sequence Relationships from Real-Time Time-Series | May 29, 2019 | Anomaly DetectionTime Series | —Unverified | 0 |
| Combined Unbalanced Distribution System State and Line Impedance Matrix Estimation | Sep 22, 2022 | ManagementState Estimation | —Unverified | 0 |
| Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction | Dec 21, 2019 | CoLAGraph Neural Network | —Unverified | 0 |
| Combining Deep Learning and GARCH Models for Financial Volatility and Risk Forecasting | Oct 2, 2023 | Time Series | —Unverified | 0 |
| Detection of anomalies in cow activity using wavelet transform based features | Feb 28, 2025 | Anomaly DetectionTime Series | —Unverified | 0 |
| A reproduction rate which perfectly fits Covid-19 | May 27, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Flow-based Conformal Prediction for Multi-dimensional Time Series | Feb 8, 2025 | Conformal PredictionPrediction | —Unverified | 0 |
| Flow Forecast: A deep learning for time series forecasting, classification, and anomaly detection framework built in PyTorch | Jan 18, 2021 | Anomaly DetectionTime Series | —Unverified | 0 |
| Detection of Anomalies in a Time Series Data using InfluxDB and Python | Dec 15, 2020 | Decision MakingTime Series | —Unverified | 0 |
| A New Look to Three-Factor Fama-French Regression Model using Sample Innovations | Jun 3, 2020 | Econometricsregression | —Unverified | 0 |
| FlowScope: Enhancing Decision Making by Time Series Forecasting based on Prediction Optimization using HybridFlow Forecast Framework | Nov 16, 2024 | Decision MakingState Space Models | —Unverified | 0 |
| FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting | Jul 20, 2024 | MambaMultivariate Time Series Forecasting | —Unverified | 0 |
| Detection of Adversarial Physical Attacks in Time-Series Image Data | Apr 27, 2023 | Autonomous DrivingDecision Making | —Unverified | 0 |
| Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems | Feb 10, 2020 | BIG-bench Machine LearningTime Series | —Unverified | 0 |
| Detection and prediction of clopidogrel treatment failures using longitudinal structured electronic health records | Oct 12, 2023 | Time Series | —Unverified | 0 |
| Bayesian Regression Approach for Building and Stacking Predictive Models in Time Series Analytics | Jan 6, 2022 | Decision Makingregression | —Unverified | 0 |
| Focusing on What is Relevant: Time-Series Learning and Understanding using Attention | Jun 22, 2018 | General ClassificationTime Series | —Unverified | 0 |
| Folded Graph Signals: Sensing with Unlimited Dynamic Range | Jan 20, 2020 | Graph SamplingTime Series | —Unverified | 0 |
| Follow the Leader: Enhancing Systematic Trend-Following Using Network Momentum | Jan 13, 2025 | Time Series | —Unverified | 0 |
| A Comprehensive Survey of Time Series Forecasting: Architectural Diversity and Open Challenges | Oct 24, 2024 | DiversityMamba | —Unverified | 0 |