| Fixing the Pitfalls of Probabilistic Time-Series Forecasting Evaluation by Kernel Quadrature | Mar 8, 2025 | Probabilistic Time Series ForecastingTime Series | —Unverified | 0 | 0 |
| Closed-form Inference and Prediction in Gaussian Process State-Space Models | Dec 10, 2018 | FormState Space Models | —Unverified | 0 | 0 |
| Approximate Newton-based statistical inference using only stochastic gradients | May 23, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Fast Online Changepoint Detection | Feb 6, 2024 | regressionTime Series | —Unverified | 0 | 0 |
| Flexible conditional density estimation for time series | Jan 23, 2023 | Density Estimationregression | —Unverified | 0 | 0 |
| Fast nonparametric clustering of structured time-series | Jan 8, 2014 | ClusteringNonparametric Clustering | —Unverified | 0 | 0 |
| Fast Inference for Quantile Regression with Tens of Millions of Observations | Sep 29, 2022 | quantile regressionregression | —Unverified | 0 | 0 |
| Fast Gibbs sampling for the local and global trend Bayesian exponential smoothing model | Jun 29, 2024 | Time Series | —Unverified | 0 | 0 |
| Fast Function to Function Regression | Oct 27, 2014 | regressionTime Series | —Unverified | 0 | 0 |
| FastFlow: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets | Apr 2, 2025 | ClassificationTime Series | —Unverified | 0 | 0 |
| Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach | Oct 28, 2021 | ClusteringMeta-Learning | —Unverified | 0 | 0 |
| Flow-based Conformal Prediction for Multi-dimensional Time Series | Feb 8, 2025 | Conformal PredictionPrediction | —Unverified | 0 | 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 | 0 |
| Approximate Extraction of Late-Time Returns via Morphological Component Analysis | Aug 11, 2022 | Image ReconstructionTime Series | —Unverified | 0 | 0 |
| Approximate Collapsed Gibbs Clustering with Expectation Propagation | Jul 19, 2018 | ClusteringTime Series | —Unverified | 0 | 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 | 0 |
| FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting | Jul 20, 2024 | MambaMultivariate Time Series Forecasting | —Unverified | 0 | 0 |
| Adaptive hedging horizon and hedging performance estimation | Feb 1, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| 30m resolution Global Annual Burned Area Mapping based on Landsat images and Google Earth Engine | May 7, 2018 | Fire DetectionTime Series | —Unverified | 0 | 0 |
| Faster than LASER -- Towards Stream Reasoning with Deep Neural Networks | Jun 15, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| CLeaRForecast: Contrastive Learning of High-Purity Representations for Time Series Forecasting | Dec 10, 2023 | Contrastive LearningRepresentation Learning | —Unverified | 0 | 0 |
| Focusing on What is Relevant: Time-Series Learning and Understanding using Attention | Jun 22, 2018 | General ClassificationTime Series | —Unverified | 0 | 0 |
| Folded Graph Signals: Sensing with Unlimited Dynamic Range | Jan 20, 2020 | Graph SamplingTime Series | —Unverified | 0 | 0 |
| Fast dynamic time warping and clustering in C++ | Jul 10, 2023 | ClusteringDynamic Time Warping | —Unverified | 0 | 0 |
| Class-Specific Attention (CSA) for Time-Series Classification | Nov 19, 2022 | ClassificationTime Series | —Unverified | 0 | 0 |