| Graph Neural Network-Based Anomaly Detection in Multivariate Time Series | Jun 13, 2021 | Anomaly DetectionGraph Neural Network | CodeCode Available | 1 | 5 |
| CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations | May 25, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| 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 | 5 |
| GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series | May 29, 2019 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| Bayesian Neural Architecture Search using A Training-Free Performance Metric | Jan 29, 2020 | Bayesian OptimizationNeural Architecture Search | CodeCode Available | 1 | 5 |
| hctsa: A Computational Framework for Automated Time-Series Phenotyping Using Massive Feature Extraction | Nov 1, 2017 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM Model | Jun 5, 2020 | ClassificationDiagnostic | CodeCode Available | 1 | 5 |
| Benchmark time series data sets for PyTorch -- the torchtime package | Jul 25, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Compatible deep neural network framework with financial time series data, including data preprocessor, neural network model and trading strategy | May 11, 2022 | Binary ClassificationFeature Engineering | CodeCode Available | 1 | 5 |
| Explaining Time Series Predictions with Dynamic Masks | Jun 9, 2021 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 1 | 5 |
