| POCKET: Pruning Random Convolution Kernels for Time Series Classification from a Feature Selection Perspective | Sep 15, 2023 | Evolutionary Algorithmsfeature selection | CodeCode Available | 0 |
| Explanation Space: A New Perspective into Time Series Interpretability | Sep 2, 2024 | Time Series | CodeCode Available | 0 |
| Process Model Forecasting Using Time Series Analysis of Event Sequence Data | May 3, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| FreqRISE: Explaining time series using frequency masking | Jun 19, 2024 | Decision MakingExplainable artificial intelligence | CodeCode Available | 0 |
| Probing the Robustness of Time-series Forecasting Models with CounterfacTS | Mar 6, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
| Explaining deep learning models for ozone pollution prediction via embedded feature selection | Mar 21, 2024 | feature selectionTime Series | CodeCode Available | 0 |
| Explaining Deep Learning Models for Age-related Gait Classification based on time series acceleration | Nov 20, 2023 | Explainable artificial intelligenceTime Series | CodeCode Available | 0 |
| Explaining Deep Classification of Time-Series Data with Learned Prototypes | Apr 18, 2019 | ClassificationDecision Making | CodeCode Available | 0 |
| Explaining a machine learning decision to physicians via counterfactuals | Jun 10, 2023 | Time Series | CodeCode Available | 0 |
| Probabilistic Spatial Transformer Networks | Apr 7, 2020 | Data AugmentationTime Series | CodeCode Available | 0 |
| Probabilistic sequential matrix factorization | Oct 9, 2019 | ImputationMultivariate Time Series Forecasting | CodeCode Available | 0 |
| Explainable time series tweaking via irreversible and reversible temporal transformations | Sep 13, 2018 | General ClassificationTime Series | CodeCode Available | 0 |
| Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction | Nov 26, 2020 | PredictionTime Series | CodeCode Available | 0 |
| Probabilistic prediction of the heave motions of a semi-submersible by a deep learning problem model | Oct 9, 2021 | Motion Compensationmotion prediction | CodeCode Available | 0 |
| Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data | Nov 1, 2024 | graph constructionTime Series | CodeCode Available | 0 |
| Probabilistic Learning of Multivariate Time Series with Temporal Irregularity | Jun 15, 2023 | ImputationTime Series | CodeCode Available | 0 |
| Probabilistic Imputation for Time-series Classification with Missing Data | Aug 13, 2023 | ImputationMissing Values | CodeCode Available | 0 |
| Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting | May 8, 2023 | DecoderTime Series | CodeCode Available | 0 |
| Explainable Online Unsupervised Anomaly Detection for Cyber-Physical Systems via Causal Discovery from Time Series | Apr 15, 2024 | Anomaly DetectionCausal Discovery | CodeCode Available | 0 |
| Probabilistic Forecast Reconciliation with Kullback-Leibler Divergence Regularization | Nov 21, 2023 | Deep LearningTime Series | CodeCode Available | 0 |
| Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN | Mar 29, 2019 | Generative Adversarial NetworkProbabilistic Time Series Forecasting | CodeCode Available | 0 |
| Probabilistic Forecasting of Irregular Time Series via Conditional Flows | Feb 9, 2024 | AstronomyIrregular Time Series | CodeCode Available | 0 |
| Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow | Nov 8, 2018 | Cardiac SegmentationGeneral Classification | CodeCode Available | 0 |
| Chemical Integration of ODEs using Idealized Abstract Solutions | Jan 23, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Adaptive Dependency Learning Graph Neural Networks | Dec 6, 2023 | Demand ForecastingTime Series | CodeCode Available | 0 |