| FRUITS: Feature Extraction Using Iterated Sums for Time Series Classification | Nov 24, 2023 | Time SeriesTime Series Classification | CodeCode Available | 1 | 5 |
| Positional Encoding in Transformer-Based Time Series Models: A Survey | Feb 17, 2025 | Anomaly DetectionBenchmarking | CodeCode Available | 1 | 5 |
| Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning | Dec 30, 2024 | Contrastive LearningLinear evaluation | CodeCode Available | 1 | 5 |
| FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting | Jan 23, 2025 | DiversityMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| Enhancing Battery Storage Energy Arbitrage with Deep Reinforcement Learning and Time-Series Forecasting | Oct 25, 2024 | Deep Reinforcement LearningTime Series | CodeCode Available | 1 | 5 |
| Practical Forecasting of Cryptocoins Timeseries using Correlation Patterns | Sep 5, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction | Mar 31, 2020 | Spatio-Temporal ForecastingTime Series | CodeCode Available | 1 | 5 |
| Predicting human decision making in psychological tasks with recurrent neural networks | Oct 22, 2020 | Decision MakingTime Series | CodeCode Available | 1 | 5 |
| Benchmarks and Custom Package for Energy Forecasting | Jul 14, 2023 | Feature EngineeringLoad Forecasting | CodeCode Available | 1 | 5 |
| FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts | Jan 25, 2025 | Mixture-of-ExpertsPrediction | CodeCode Available | 1 | 5 |
| FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification | May 29, 2025 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 | 5 |
| F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information | Dec 3, 2024 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs | Apr 10, 2025 | Multimodal Large Language ModelTime Series | CodeCode Available | 1 | 5 |
| Foundation Models Knowledge Distillation For Battery Capacity Degradation Forecast | May 13, 2025 | Knowledge DistillationTime Series | CodeCode Available | 1 | 5 |
| Causal Discovery from Subsampled Time Series with Proxy Variables | May 9, 2023 | Causal DiscoveryCausal Identification | CodeCode Available | 1 | 5 |
| Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality | Aug 2, 2020 | Generalization BoundsTime Series | CodeCode Available | 1 | 5 |
| ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting | Dec 5, 2021 | Load ForecastingTime Series | CodeCode Available | 1 | 5 |
| Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting | Feb 17, 2022 | Conformal PredictionPrediction Intervals | CodeCode Available | 1 | 5 |
| Ensembles of Localised Models for Time Series Forecasting | Dec 30, 2020 | ClusteringTime Series | CodeCode Available | 1 | 5 |
| Probabilistic Recurrent State-Space Models | Jan 31, 2018 | Gaussian ProcessesState Space Models | CodeCode Available | 1 | 5 |
| Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series | Feb 7, 2024 | Prediction IntervalsTime Series | CodeCode Available | 1 | 5 |
| Adjusting for Autocorrelated Errors in Neural Networks for Time Series | Jan 28, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics | Jun 21, 2022 | SchedulingTime Series | CodeCode Available | 1 | 5 |
| Entropy Causal Graphs for Multivariate Time Series Anomaly Detection | Dec 15, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Benchmarking Deep Learning Interpretability in Time Series Predictions | Oct 26, 2020 | BenchmarkingDeep Learning | CodeCode Available | 1 | 5 |
