| Fast Variational Learning in State-Space Gaussian Process Models | Jul 9, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| ClaSP -- Parameter-free Time Series Segmentation | Jul 28, 2022 | Change Point DetectionSegmentation | CodeCode Available | 1 | 5 |
| An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space | Nov 26, 2020 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks | Jul 31, 2020 | Data AugmentationGeneral Classification | 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 |
| Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection | Dec 17, 2020 | Malware DetectionTime Series | 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 |
| ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method | Apr 10, 2025 | Time SeriesWeather Forecasting | CodeCode Available | 1 | 5 |
| Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning | Jun 23, 2020 | Knowledge GraphsMulti-Task Learning | CodeCode Available | 1 | 5 |
| Graph Convolutions Enrich the Self-Attention in Transformers! | Dec 7, 2023 | Clone Detection | CodeCode Available | 1 | 5 |
| BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition | Aug 28, 2023 | Computational EfficiencyGaussian Processes | CodeCode Available | 1 | 5 |
| Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM Model | Jun 5, 2020 | ClassificationDiagnostic | 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 |
| Cloud gap-filling with deep learning for improved grassland monitoring | Mar 14, 2024 | Deep LearningEvent Detection | CodeCode Available | 1 | 5 |
| Benchmarking Deep Learning Interpretability in Time Series Predictions | Oct 26, 2020 | BenchmarkingDeep Learning | CodeCode Available | 1 | 5 |
| CODiT: Conformal Out-of-Distribution Detection in Time-Series Data | Jul 24, 2022 | Anomaly DetectionAutonomous Driving | CodeCode Available | 1 | 5 |
| CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting | Jun 8, 2024 | AttributeMamba | 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 |
| Anomaly Detection of Wind Turbine Time Series using Variational Recurrent Autoencoders | Dec 5, 2021 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Compatible Transformer for Irregularly Sampled Multivariate Time Series | Oct 17, 2023 | Time Series | CodeCode Available | 1 | 5 |
| Hierarchical Classification Auxiliary Network for Time Series Forecasting | May 29, 2024 | ClassificationTime Series | CodeCode Available | 1 | 5 |
| FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation | May 25, 2022 | Graph Neural NetworkTime Series | 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 |
| Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection | Jun 15, 2021 | Anomaly DetectionFederated Learning | CodeCode Available | 1 | 5 |
| FingerFlex: Inferring Finger Trajectories from ECoG signals | Oct 23, 2022 | Brain Computer InterfaceBrain Decoding | CodeCode Available | 1 | 5 |
| HIVE-COTE 2.0: a new meta ensemble for time series classification | Apr 15, 2021 | General ClassificationTime Series | CodeCode Available | 1 | 5 |
| Conditional Sig-Wasserstein GANs for Time Series Generation | Jun 9, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| On the difficulty of learning chaotic dynamics with RNNs | Oct 14, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Human Activity Segmentation Challenge @ ECML/PKDD’23 | Sep 18, 2023 | Activity RecognitionChange Point Detection | CodeCode Available | 1 | 5 |
| Bayesian hierarchical stacking: Some models are (somewhere) useful | Jan 22, 2021 | Bayesian InferenceTime Series | CodeCode Available | 1 | 5 |
| Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals | Jul 31, 2023 | Blood pressure estimationHypertension detection | CodeCode Available | 1 | 5 |
| Imaging Time-Series to Improve Classification and Imputation | Jun 1, 2015 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| Improved Online Conformal Prediction via Strongly Adaptive Online Learning | Feb 15, 2023 | Conformal Predictionimage-classification | CodeCode Available | 1 | 5 |
| Conditional GAN for timeseries generation | Jun 30, 2020 | Generative Adversarial NetworkTime Series | CodeCode Available | 1 | 5 |
| An Open Source and Reproducible Implementation of LSTM and GRU Networks for Time Series Forecasting | Jun 22, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| An Open-Source Tool for Mapping War Destruction at Scale in Ukraine using Sentinel-1 Time Series | Jun 4, 2024 | HumanitarianTime Series | CodeCode Available | 1 | 5 |
| CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting | Jun 4, 2024 | Dataset CondensationTime Series | CodeCode Available | 1 | 5 |
| Conformal Prediction for Time Series with Modern Hopfield Networks | Mar 22, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 | 5 |
| A Generalised Signature Method for Multivariate Time Series Feature Extraction | Jun 1, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Conformal prediction for multi-dimensional time series by ellipsoidal sets | Mar 6, 2024 | Conformal PredictionPrediction | CodeCode Available | 1 | 5 |
| Conformal PID Control for Time Series Prediction | Jul 31, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 | 5 |
| IMTS is Worth Time Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction | May 28, 2025 | Missing ValuesSelf-Supervised Learning | CodeCode Available | 1 | 5 |
| An Empirical Framework for Domain Generalization in Clinical Settings | Mar 20, 2021 | Domain GeneralizationTime Series | CodeCode Available | 1 | 5 |
| Inferring networks from time series: a neural approach | Mar 30, 2023 | parameter estimationregression | CodeCode Available | 1 | 5 |
| Conformal prediction set for time-series | Jun 15, 2022 | Conformal PredictionPrediction | CodeCode Available | 1 | 5 |
| Conformal Time-series Forecasting | Dec 1, 2021 | Conformal PredictionDecision Making | CodeCode Available | 1 | 5 |
| Neural graphical modelling in continuous-time: consistency guarantees and algorithms | May 6, 2021 | Causal DiscoveryGraph Learning | CodeCode Available | 1 | 5 |
| Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks | May 24, 2020 | Graph LearningGraph Neural Network | CodeCode Available | 1 | 5 |
| Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting | Mar 8, 2024 | Time 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 |
