| Dynamical Wasserstein Barycenters for Time-series Modeling | Oct 13, 2021 | State EstimationTime Series | CodeCode Available | 1 | 5 |
| Remaining Useful Life Prediction for Aircraft Engines using LSTM | Jan 15, 2024 | PredictionTemporal Sequences | CodeCode Available | 1 | 5 |
| Dynamic Data Augmentation with Gating Networks for Time Series Recognition | Nov 5, 2021 | Data AugmentationTime Series | CodeCode Available | 1 | 5 |
| Reservoir Computing meets Recurrent Kernels and Structured Transforms | Jun 12, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Calibration of Google Trends Time Series | Jul 27, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift | Oct 23, 2023 | Time SeriesTime Series Forecasting | 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 |
| Dynamic Graph Learning-Neural Network for Multivariate Time Series Modeling | Dec 6, 2021 | Graph LearningInductive Bias | CodeCode Available | 1 | 5 |
| Label-Free Multivariate Time Series Anomaly Detection | Dec 17, 2023 | Anomaly DetectionDensity Estimation | CodeCode Available | 1 | 5 |
| CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning | Sep 30, 2021 | Activity RecognitionContrastive Learning | CodeCode Available | 1 | 5 |
| Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization | Jun 29, 2024 | Dynamic Time WarpingPrediction | CodeCode Available | 1 | 5 |
| Can Multimodal LLMs Perform Time Series Anomaly Detection? | Feb 25, 2025 | Anomaly DetectionIrregular Time Series | 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 |
| Dynamic Sparse Network for Time Series Classification: Learning What to "see'' | Dec 19, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| DYNOTEARS: Structure Learning from Time-Series Data | Feb 2, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift | Sep 29, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| CAFO: Feature-Centric Explanation on Time Series Classification | Jun 3, 2024 | ClassificationFeature Importance | CodeCode Available | 1 | 5 |
| Early Classification of Time Series: Taxonomy and Benchmark | Jun 26, 2024 | ClassificationEarly Classification | CodeCode Available | 1 | 5 |
| A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting | Sep 2, 2021 | AttributeMulti-Task Learning | CodeCode Available | 1 | 5 |
| Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection | Jul 25, 2022 | Anomaly DetectionOne-Class Classification | CodeCode Available | 1 | 5 |
| A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction | Jan 31, 2024 | DecoderGraph Learning | CodeCode Available | 1 | 5 |
| RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting | Jun 10, 2021 | Bayesian InferenceSpatio-Temporal Forecasting | CodeCode Available | 1 | 5 |
| EarthPT: a time series foundation model for Earth Observation | Sep 13, 2023 | Earth ObservationTime Series | CodeCode Available | 1 | 5 |
| BolT: Fused Window Transformers for fMRI Time Series Analysis | May 23, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors | Sep 9, 2019 | Object LocalizationPrediction | CodeCode Available | 1 | 5 |
| Effectively Modeling Time Series with Simple Discrete State Spaces | Mar 16, 2023 | State Space ModelsTime Series | CodeCode Available | 1 | 5 |
| AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme | May 8, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals | Jun 5, 2018 | Data AugmentationEEG | CodeCode Available | 1 | 5 |
| Building an Automated and Self-Aware Anomaly Detection System | Nov 10, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| k-Graph: A Graph Embedding for Interpretable Time Series Clustering | Feb 18, 2025 | ClusteringGraph Embedding | CodeCode Available | 1 | 5 |
| Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets | Sep 28, 2021 | ClassificationTime Series | CodeCode Available | 1 | 5 |
| Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching | May 31, 2024 | Time Series | CodeCode Available | 1 | 5 |
| DeepMoD: Deep learning for Model Discovery in noisy data | Apr 20, 2019 | Deep LearningModel Discovery | CodeCode Available | 1 | 5 |
| DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting | Mar 15, 2022 | SchedulingTime Series | CodeCode Available | 1 | 5 |
| k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples) | Apr 9, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction | Nov 11, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting | Dec 22, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level | May 3, 2022 | Intrusion DetectionTime Series | CodeCode Available | 1 | 5 |
| Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting | May 24, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Scalable Classifier-Agnostic Channel Selection for Multivariate Time Series Classification | Jun 18, 2022 | channel selectionTime Series | CodeCode Available | 1 | 5 |
| Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting | Jul 4, 2023 | DecoderTime Series | CodeCode Available | 1 | 5 |
| Embedded feature selection in LSTM networks with multi-objective evolutionary ensemble learning for time series forecasting | Dec 29, 2023 | AttributeEnsemble Learning | CodeCode Available | 1 | 5 |
| Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting | May 30, 2023 | DecoderTime Series | CodeCode Available | 1 | 5 |
| Scale-Aware Neural Architecture Search for Multivariate Time Series Forecasting | Dec 14, 2021 | Graph LearningMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| A foundation model with multi-variate parallel attention to generate neuronal activity | Jun 25, 2025 | Seizure DetectionTime Series | CodeCode Available | 1 | 5 |
| Scaling Law for Time Series Forecasting | May 24, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network | Apr 26, 2022 | DiagnosticTime Series | CodeCode Available | 1 | 5 |
| ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models | Jun 18, 2021 | Probabilistic Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| Knowledge and topology: A two layer spatially dependent graph neural networks to identify urban functions with time-series street view image | Mar 16, 2023 | Graph Neural NetworkTime Series | CodeCode Available | 1 | 5 |
| Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative | Feb 13, 2025 | ImputationTime Series | CodeCode Available | 1 | 5 |
