| From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting | Apr 21, 2022 | Decision MakingPrediction Intervals | 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 |
| Predicting Patient Outcomes with Graph Representation Learning | Jan 11, 2021 | Graph Representation LearningLength-of-Stay prediction | CodeCode Available | 1 | 5 |
| Predicting Stock Market Time-Series Data using CNN-LSTM Neural Network Model | May 21, 2023 | Time Series | CodeCode Available | 1 | 5 |
| Enhancing Multivariate Time Series Classifiers through Self-Attention and Relative Positioning Infusion | Feb 13, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach | Aug 2, 2023 | Anomaly DetectionDeep Learning | CodeCode Available | 1 | 5 |
| Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting | Feb 11, 2025 | Time Series | CodeCode Available | 1 | 5 |
| From Time Series to Networks in R with the ts2net Package | Aug 20, 2022 | Graph MiningTime Series | CodeCode Available | 1 | 5 |
| FTMixer: Frequency and Time Domain Representations Fusion for Time Series Modeling | May 24, 2024 | Computational EfficiencyTime Series | CodeCode Available | 1 | 5 |
| Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations | May 1, 2025 | Multivariate Time Series 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 |
| Probabilistic Recurrent State-Space Models | Jan 31, 2018 | Gaussian ProcessesState Space Models | 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 |
| Benchmarks and Custom Package for Energy Forecasting | Jul 14, 2023 | Feature EngineeringLoad Forecasting | CodeCode Available | 1 | 5 |
| Ensembles of Localised Models for Time Series Forecasting | Dec 30, 2020 | ClusteringTime Series | CodeCode Available | 1 | 5 |
| PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting | Sep 20, 2022 | Language ModellingRepresentation Learning | 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 |
| Error-quantified Conformal Inference for Time Series | Feb 2, 2025 | PredictionTime 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 |
| FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification | May 29, 2025 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 | 5 |
| Proximity Forest: An effective and scalable distance-based classifier for time series | Aug 31, 2018 | AttributeEarth Observation | CodeCode Available | 1 | 5 |
| Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain | Oct 8, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting | Dec 15, 2022 | DecoderSaliency Detection | CodeCode Available | 1 | 5 |
| AA-Forecast: Anomaly-Aware Forecast for Extreme Events | Aug 21, 2022 | Anomaly ForecastingMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| Euler State Networks: Non-dissipative Reservoir Computing | Mar 17, 2022 | MemorizationTime Series | CodeCode Available | 1 | 5 |
| Benchmark time series data sets for PyTorch -- the torchtime package | Jul 25, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs | Feb 22, 2022 | Time SeriesTime Series Analysis | 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 |
| From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction | Apr 1, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series | Feb 15, 2021 | ImputationTime Series | CodeCode Available | 1 | 5 |
| Random Forests for dependent data | Jul 30, 2020 | Decision MakingGaussian Processes | CodeCode Available | 1 | 5 |
| Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark | Oct 12, 2015 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Recency-Weighted Temporally-Segmented Ensemble for Time-Series Modeling | Mar 4, 2024 | Time Series | CodeCode Available | 1 | 5 |
| A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling | Dec 16, 2021 | Multivariate Time Series ForecastingPrediction Intervals | CodeCode Available | 1 | 5 |
| Recurrences reveal shared causal drivers of complex time series | Jan 31, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data | Jun 18, 2020 | Causal DiscoveryTime Series | CodeCode Available | 1 | 5 |
| Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection | Jun 10, 2021 | Fire DetectionMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series | Oct 8, 2024 | Computational EfficiencyIrregular Time Series | CodeCode Available | 1 | 5 |
| Evaluation of deep learning models for multi-step ahead time series prediction | Mar 26, 2021 | DecoderDeep Learning | CodeCode Available | 1 | 5 |
| ASTRIDE: Adaptive Symbolization for Time Series Databases | Feb 8, 2023 | Change Point DetectionQuantization | CodeCode Available | 1 | 5 |
| C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting | Dec 22, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs | Dec 16, 2023 | Time SeriesVariational Inference | CodeCode Available | 1 | 5 |
| An Accurate and Fully-Automated Ensemble Model for Weekly Time Series Forecasting | Oct 16, 2020 | Meta-Learningregression | CodeCode Available | 1 | 5 |
| Benchmarking Deep Learning Interpretability in Time Series Predictions | Oct 26, 2020 | BenchmarkingDeep Learning | CodeCode Available | 1 | 5 |
| An Analysis of Linear Time Series Forecasting Models | Mar 21, 2024 | Formregression | CodeCode Available | 1 | 5 |
| Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An Improved ROCKET Algorithm for Multivariate Time Series Analysis | Aug 5, 2024 | ClassificationEEG | CodeCode Available | 1 | 5 |
| An Empirical Study of Graph-Based Approaches for Semi-Supervised Time Series Classification | Apr 16, 2021 | Binary ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis | Jan 12, 2024 | Time Series | CodeCode Available | 1 | 5 |
| Gaussian process learning of nonlinear dynamics | Dec 19, 2023 | Bayesian Inferenceparameter estimation | CodeCode Available | 1 | 5 |
