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| A General Deep Learning Framework for Network Reconstruction and Dynamics Learning | Dec 30, 2018 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Neural Differential Recurrent Neural Network with Adaptive Time Steps | Jun 2, 2023 | Time Series | CodeCode Available | 0 |
| Neural circuits for dynamics-based segmentation of time series | Apr 24, 2021 | SegmentationTime Series | CodeCode Available | 0 |
| Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series | Sep 13, 2018 | Anomaly DetectionTime Series | CodeCode Available | 0 |
| Spikebench: An open benchmark for spike train time-series classification | Oct 9, 2018 | Feature EngineeringTime Series | CodeCode Available | 0 |
| Network Inference via the Time-Varying Graphical Lasso | Mar 6, 2017 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| EEG-EyeTrack: A Benchmark for Time Series and Functional Data Analysis with Open Challenges and Baselines | Apr 2, 2025 | EEGTime Series | CodeCode Available | 0 |
| Dimensionless Anomaly Detection on Multivariate Streams with Variance Norm and Path Signature | Jun 5, 2020 | Anomaly DetectionTime Series | CodeCode Available | 0 |
| NetTiSA: Extended IP Flow with Time-series Features for Universal Bandwidth-constrained High-speed Network Traffic Classification | Oct 9, 2023 | Time SeriesTraffic Classification | CodeCode Available | 0 |
| EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions | Dec 16, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 0 |
| N-BEATS neural network for mid-term electricity load forecasting | Sep 24, 2020 | Decision MakingLoad Forecasting | CodeCode Available | 0 |
| Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality | Nov 22, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Series | Mar 2, 2023 | Anomaly DetectionTime Series | CodeCode Available | 0 |
| N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding | Aug 16, 2019 | ClusteringDeep Clustering | CodeCode Available | 0 |
| Multi-VQG: Generating Engaging Questions for Multiple Images | Nov 14, 2022 | Question AnsweringQuestion Generation | CodeCode Available | 0 |
| Anomaly Detection on Financial Time Series by Principal Component Analysis and Neural Networks | Sep 22, 2022 | Anomaly DetectionImputation | CodeCode Available | 0 |
| A Gaussian Process-based Streaming Algorithm for Prediction of Time Series With Regimes and Outliers | Jun 1, 2024 | Gaussian ProcessesMixture-of-Experts | CodeCode Available | 0 |
| A GARCH model with two volatility components and two driving factors | Oct 18, 2024 | Time Series | CodeCode Available | 0 |
| Completion and Augmentation based Spatiotemporal Deep Learning Approach for Short-Term Metro Origin-Destination Matrix Prediction under Limited Observable Data | Aug 9, 2021 | ManagementPrediction | CodeCode Available | 0 |
| Multi-view self-supervised learning for multivariate variable-channel time series | Jul 13, 2023 | Contrastive LearningEEG | CodeCode Available | 0 |
| Multi-view Integration Learning for Irregularly-sampled Clinical Time Series | Jan 25, 2021 | DecoderImputation | CodeCode Available | 0 |
| EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series | Feb 2, 2024 | Time Series | CodeCode Available | 0 |
| GP-VAE: Deep Probabilistic Time Series Imputation | Jul 9, 2019 | Deep LearningDimensionality Reduction | CodeCode Available | 0 |
| EasyMLServe: Easy Deployment of REST Machine Learning Services | Nov 26, 2022 | Instance SegmentationSemantic Segmentation | CodeCode Available | 0 |