| Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting | Feb 17, 2022 | Conformal PredictionPrediction Intervals | CodeCode Available | 1 |
| Ensembles of Localised Models for Time Series Forecasting | Dec 30, 2020 | ClusteringTime Series | CodeCode Available | 1 |
| An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks | Jul 31, 2020 | Data AugmentationGeneral Classification | 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 |
| COT-GAN: Generating Sequential Data via Causal Optimal Transport | Jun 15, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Euler State Networks: Non-dissipative Reservoir Computing | Mar 17, 2022 | MemorizationTime Series | CodeCode Available | 1 |
| Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark | Oct 12, 2015 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Evaluation of deep learning models for multi-step ahead time series prediction | Mar 26, 2021 | DecoderDeep Learning | CodeCode Available | 1 |
| An Unsupervised Approach for Periodic Source Detection in Time Series | Jun 1, 2024 | Self-Supervised LearningTime Series | CodeCode Available | 1 |
| Contrastive Domain Adaptation for Time-Series via Temporal Mixup | Dec 3, 2022 | Contrastive LearningDomain Adaptation | CodeCode Available | 1 |
| Active multi-fidelity Bayesian online changepoint detection | Mar 26, 2021 | Edge-computingTime Series | CodeCode Available | 1 |
| An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection | Aug 19, 2022 | Anomaly DetectionRepresentation Learning | CodeCode Available | 1 |
| Counterfactual Explanations for Machine Learning on Multivariate Time Series Data | Aug 25, 2020 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 1 |
| Explaining Time Series via Contrastive and Locally Sparse Perturbations | Jan 16, 2024 | Contrastive Learningcounterfactual | CodeCode Available | 1 |
| Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG Classification | Dec 9, 2020 | Anomaly DetectionAtrial Fibrillation Detection | CodeCode Available | 1 |
| Exploring the Advantages of Transformers for High-Frequency Trading | Feb 20, 2023 | DecoderPosition | CodeCode Available | 1 |
| Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks | Oct 23, 2023 | Irregular Time SeriesTime Series | CodeCode Available | 1 |
| Extending Path-Dependent NJ-ODEs to Noisy Observations and a Dependent Observation Framework | Jul 24, 2023 | Time Series | CodeCode Available | 1 |
| Anomaly Detection of Wind Turbine Time Series using Variational Recurrent Autoencoders | Dec 5, 2021 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| FastDTW is approximate and Generally Slower than the Algorithm it Approximates | Mar 25, 2020 | Anomaly DetectionClustering | CodeCode Available | 1 |
| FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation | May 25, 2022 | Graph Neural NetworkTime Series | CodeCode Available | 1 |
| FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series Forecasting | Dec 27, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| Feature-Based Time-Series Analysis in R using the theft Package | Aug 12, 2022 | Data VisualizationTime Series | CodeCode Available | 1 |
| Feature Programming for Multivariate Time Series Prediction | Jun 9, 2023 | Automated Feature EngineeringFeature Engineering | CodeCode Available | 1 |
| Domain Adaptation for Time Series Forecasting via Attention Sharing | Feb 13, 2021 | Domain AdaptationTime Series | CodeCode Available | 1 |
