| Badgers: generating data quality deficits with Python | Jul 10, 2023 | Time Series | CodeCode Available | 1 | 5 |
| Efficient Cross-Validation of Echo State Networks | Aug 22, 2019 | One-Shot LearningTime Series | CodeCode Available | 1 | 5 |
| General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping | Jul 11, 2019 | Dynamic Time WarpingNavigate | CodeCode Available | 1 | 5 |
| BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting | Oct 3, 2024 | EpidemiologyMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| Backdoor Attacks on Time Series: A Generative Approach | Nov 15, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation | Jan 9, 2025 | Test-time AdaptationTime Series | CodeCode Available | 1 | 5 |
| Effectively Modeling Time Series with Simple Discrete State Spaces | Mar 16, 2023 | State Space ModelsTime Series | CodeCode Available | 1 | 5 |
| Efficient data-driven gap filling of satellite image time series using deep neural networks with partial convolutions | Aug 18, 2022 | Image InpaintingTime Series | CodeCode Available | 1 | 5 |
| Early Classification of Time Series: Taxonomy and Benchmark | Jun 26, 2024 | ClassificationEarly Classification | CodeCode Available | 1 | 5 |
| Early Abandoning and Pruning for Elastic Distances including Dynamic Time Warping | Feb 10, 2021 | ClusteringDynamic Time Warping | CodeCode Available | 1 | 5 |
| EarthPT: a time series foundation model for Earth Observation | Sep 13, 2023 | Earth ObservationTime Series | CodeCode Available | 1 | 5 |
| Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting | Dec 11, 2024 | Adversarial AttackTime Series | CodeCode Available | 1 | 5 |
| DYNOTEARS: Structure Learning from Time-Series Data | Feb 2, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series | Feb 21, 2024 | Contrastive LearningTime Series | CodeCode Available | 1 | 5 |
| DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems | Jul 7, 2023 | Anomaly DetectionFault Detection | CodeCode Available | 1 | 5 |
| Adversarial Sparse Transformer for Time Series Forecasting | Dec 1, 2020 | Multivariate Time Series ForecastingPrediction | CodeCode Available | 1 | 5 |
| Dynamic Graph Learning-Neural Network for Multivariate Time Series Modeling | Dec 6, 2021 | Graph LearningInductive Bias | CodeCode Available | 1 | 5 |
| Can LLMs Understand Time Series Anomalies? | Oct 7, 2024 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Axial-LOB: High-Frequency Trading with Axial Attention | Dec 4, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series | Mar 3, 2021 | ClusteringTime Series | CodeCode Available | 1 | 5 |
| Dynamic Sparse Network for Time Series Classification: Learning What to "see'' | Dec 19, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals | Jun 5, 2018 | Data AugmentationEEG | CodeCode Available | 1 | 5 |
| Efficient implementations of echo state network cross-validation | Jun 19, 2020 | One-Shot LearningTime 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 |
| FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting | Dec 2, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
