| An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks | Jul 31, 2020 | Data AugmentationGeneral Classification | CodeCode Available | 1 |
| Financial Time Series Data Processing for Machine Learning | Jul 3, 2019 | BIG-bench Machine LearningGeneral Classification | CodeCode Available | 1 |
| Financial time series forecasting with multi-modality graph neural network | Jan 1, 2022 | Graph Neural NetworkTime Series | CodeCode Available | 1 |
| Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning | Sep 23, 2023 | Activity RecognitionContrastive Learning | CodeCode Available | 1 |
| A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data | Jul 20, 2020 | Few-Shot LearningMulti-Task Learning | CodeCode Available | 1 |
| Domain Adaptation for Time Series Forecasting via Attention Sharing | Feb 13, 2021 | Domain AdaptationTime Series | CodeCode Available | 1 |
| CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables | May 29, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| FingerFlex: Inferring Finger Trajectories from ECoG signals | Oct 23, 2022 | Brain Computer InterfaceBrain Decoding | CodeCode Available | 1 |
| Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress | Sep 29, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| An Open Source and Reproducible Implementation of LSTM and GRU Networks for Time Series Forecasting | Jun 22, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| An Open-Source Tool for Mapping War Destruction at Scale in Ukraine using Sentinel-1 Time Series | Jun 4, 2024 | HumanitarianTime Series | CodeCode Available | 1 |
| Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects | Oct 1, 2018 | regressionTime Series | CodeCode Available | 1 |
| Deep Learning for Time Series Anomaly Detection: A Survey | Nov 9, 2022 | Anomaly DetectionDeep Learning | CodeCode Available | 1 |
| A Generalised Signature Method for Multivariate Time Series Feature Extraction | Jun 1, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Forecasting Foreign Exchange Rate: A Multivariate Comparative Analysis between Traditional Econometric, Contemporary Machine Learning & Deep Learning Techniques | Feb 19, 2020 | regressionTime Series | CodeCode Available | 1 |
| Forecasting Irregularly Sampled Time Series using Graphs | May 22, 2023 | AstronomyMissing Values | CodeCode Available | 1 |
| Multi-modal learning for geospatial vegetation forecasting | Mar 28, 2023 | HumanitarianTime Series | CodeCode Available | 1 |
| Contrastive Domain Adaptation for Time-Series via Temporal Mixup | Dec 3, 2022 | Contrastive LearningDomain Adaptation | CodeCode Available | 1 |
| Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 Study | May 16, 2020 | BIG-bench Machine LearningTime Series | CodeCode Available | 1 |
| An Empirical Framework for Domain Generalization in Clinical Settings | Mar 20, 2021 | Domain GeneralizationTime Series | CodeCode Available | 1 |
| ForecastPFN: Synthetically-Trained Zero-Shot Forecasting | Nov 3, 2023 | Bayesian InferenceTime Series | CodeCode Available | 1 |
| Counterfactual Explanations for Machine Learning on Multivariate Time Series Data | Aug 25, 2020 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 1 |
| Cost-effective Interactive Attention Learning with Neural Attention Processes | Jun 9, 2020 | RerankingTime Series | CodeCode Available | 1 |
| FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting | Jan 23, 2025 | DiversityMultivariate Time Series Forecasting | CodeCode Available | 1 |
| COT-GAN: Generating Sequential Data via Causal Optimal Transport | Jun 15, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
