| HYDRA: Competing convolutional kernels for fast and accurate time series classification | Mar 25, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Counterfactual Explanations for Machine Learning on Multivariate Time Series Data | Aug 25, 2020 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 1 | 5 |
| Missing Value Imputation on Multidimensional Time Series | Mar 2, 2021 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare | Jun 5, 2018 | Gaussian ProcessesTime Series | CodeCode Available | 1 | 5 |
| Imaging Time-Series to Improve Classification and Imputation | Jun 1, 2015 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| Crop mapping from image time series: deep learning with multi-scale label hierarchies | Feb 17, 2021 | Crop ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series | Oct 15, 2021 | ClassificationCrop Classification | CodeCode Available | 1 | 5 |
| Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting | Feb 11, 2025 | Time Series | 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 |
| Benchmark time series data sets for PyTorch -- the torchtime package | Jul 25, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
