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| Exponentially Weighted Moving Models | Apr 11, 2024 | Time Series | CodeCode Available | 0 | 5 |
| Explaining Deep Classification of Time-Series Data with Learned Prototypes | Apr 18, 2019 | ClassificationDecision Making | CodeCode Available | 0 | 5 |
| Explaining Deep Learning Models for Age-related Gait Classification based on time series acceleration | Nov 20, 2023 | Explainable artificial intelligenceTime Series | CodeCode Available | 0 | 5 |
| Explainable time series tweaking via irreversible and reversible temporal transformations | Sep 13, 2018 | General ClassificationTime Series | CodeCode Available | 0 | 5 |
| Explaining a machine learning decision to physicians via counterfactuals | Jun 10, 2023 | Time Series | CodeCode Available | 0 | 5 |
| Explaining deep learning models for ozone pollution prediction via embedded feature selection | Mar 21, 2024 | feature selectionTime Series | CodeCode Available | 0 | 5 |
| Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting | May 8, 2023 | DecoderTime Series | 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 |
| 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 |
| Patch Learning | Jun 1, 2019 | BIG-bench Machine LearningEnsemble Learning | 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 |
| MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response | Oct 8, 2020 | Deep LearningPrognosis | CodeCode Available | 0 | 5 |
| Discrete signature and its application to finance | Dec 17, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction | Nov 26, 2020 | PredictionTime Series | CodeCode Available | 0 | 5 |
| Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows | May 27, 2020 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| FreqRISE: Explaining time series using frequency masking | Jun 19, 2024 | Decision MakingExplainable artificial intelligence | CodeCode Available | 0 | 5 |
| Fast fitting of neural ordinary differential equations by Bayesian neural gradient matching to infer ecological interactions from time series data | Sep 13, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| An Information Theory Approach on Deciding Spectroscopic Follow Ups | Nov 6, 2019 | General ClassificationTime Series | CodeCode Available | 0 | 5 |
| MINIMALIST: Mutual INformatIon Maximization for Amortized Likelihood Inference from Sampled Trajectories | Jun 3, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning | Oct 4, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 0 | 5 |
| Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks | Jul 6, 2020 | Graph Neural NetworkTime Series | CodeCode Available | 0 | 5 |
| Complete Inference of Causal Relations between Dynamical Systems | Aug 31, 2018 | EEGTime Series | CodeCode Available | 0 | 5 |
| EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction | Nov 18, 2024 | Contrastive LearningPrediction | CodeCode Available | 0 | 5 |
| Data Augmentation for Generating Synthetic Electrogastrogram Time Series | Mar 4, 2023 | Data AugmentationDiversity | CodeCode Available | 0 | 5 |