| Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations | May 30, 2024 | Anomaly DetectionRepresentation Learning | CodeCode Available | 1 |
| Time-Series Foundation Models for Forecasting Soil Moisture Levels in Smart Agriculture | May 29, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| FUSU: A Multi-temporal-source Land Use Change Segmentation Dataset for Fine-grained Urban Semantic Understanding | May 29, 2024 | Change DetectionSegmentation | CodeCode Available | 1 |
| Hierarchical Classification Auxiliary Network for Time Series Forecasting | May 29, 2024 | ClassificationTime Series | CodeCode Available | 1 |
| DeepHGNN: Study of Graph Neural Network based Forecasting Methods for Hierarchically Related Multivariate Time Series | May 29, 2024 | Graph Neural NetworkTime Series | —Unverified | 0 |
| Counterfactual Explanations for Multivariate Time-Series without Training Datasets | May 28, 2024 | counterfactualTime Series | —Unverified | 0 |
| Efficient Time Series Processing for Transformers and State-Space Models through Token Merging | May 28, 2024 | State Space ModelsTime Series | —Unverified | 0 |
| Time Series Representation Models | May 28, 2024 | ImputationRepresentation Learning | CodeCode Available | 1 |
| ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks | May 28, 2024 | Multivariate Time Series ForecastingNode Regression | —Unverified | 0 |
| Low-Resource Crop Classification from Multi-Spectral Time Series Using Lossless Compressors | May 28, 2024 | Crop ClassificationDeep Learning | CodeCode Available | 0 |
| EMERGE: Integrating RAG for Improved Multimodal EHR Predictive Modeling | May 27, 2024 | Knowledge GraphsRAG | —Unverified | 0 |
| Towards Accurate Ego-lane Identification with Early Time Series Classification | May 27, 2024 | Autonomous DrivingTime Series | —Unverified | 0 |
| Time Elastic Neural Networks | May 27, 2024 | Time SeriesTime Series Classification | —Unverified | 0 |
| Kernel-based Optimally Weighted Conformal Prediction Intervals | May 27, 2024 | Conformal PredictionPrediction | —Unverified | 0 |
| The Scaling Law in Stellar Light Curves | May 27, 2024 | Time Series | —Unverified | 0 |
| Are Self-Attentions Effective for Time Series Forecasting? | May 27, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 |
| Unveiling the Secrets: How Masking Strategies Shape Time Series Imputation | May 26, 2024 | ImputationTime Series | CodeCode Available | 0 |
| Dominant Shuffle: A Simple Yet Powerful Data Augmentation for Time-series Prediction | May 26, 2024 | Data AugmentationTime Series | —Unverified | 0 |
| MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting | May 26, 2024 | MambaState Space Models | CodeCode Available | 2 |
| Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning | May 26, 2024 | ImputationMissing Values | —Unverified | 0 |
| IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark | May 25, 2024 | Model SelectionTime Series | CodeCode Available | 0 |
| Spiking Neural Network Phase Encoding for Cognitive Computing | May 25, 2024 | Time Series | —Unverified | 0 |
| USD: Unsupervised Soft Contrastive Learning for Fault Detection in Multivariate Time Series | May 25, 2024 | Contrastive LearningData Augmentation | CodeCode Available | 1 |
| Acquiring Better Load Estimates by Combining Anomaly and Change Point Detection in Power Grid Time-series Measurements | May 25, 2024 | Anomaly DetectionChange Point Detection | CodeCode Available | 0 |
| Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting | May 25, 2024 | MambaState Space Models | —Unverified | 0 |
