| Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting | May 8, 2023 | DecoderTime Series | CodeCode Available | 0 | 5 |
| Explainable Online Unsupervised Anomaly Detection for Cyber-Physical Systems via Causal Discovery from Time Series | Apr 15, 2024 | Anomaly DetectionCausal Discovery | CodeCode Available | 0 | 5 |
| 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 | 5 |
| 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 | 5 |
| A Transformer Framework for Data Fusion and Multi-Task Learning in Smart Cities | Nov 18, 2022 | Computational EfficiencyHumanitarian | CodeCode Available | 0 | 5 |
| Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models | Apr 4, 2025 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Beyond VaR and CVaR: Topological Risk Measures in Financial Markets | Oct 23, 2023 | ManagementTime Series | CodeCode Available | 0 | 5 |
| MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response | Oct 8, 2020 | Deep LearningPrognosis | CodeCode Available | 0 | 5 |
| An Information Theory Approach on Deciding Spectroscopic Follow Ups | Nov 6, 2019 | General ClassificationTime Series | CodeCode Available | 0 | 5 |
| Patch Learning | Jun 1, 2019 | BIG-bench Machine LearningEnsemble Learning | CodeCode Available | 0 | 5 |
