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| MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process Download PDF | Jan 15, 2024 | Probabilistic Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| IMTS is Worth Time Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction | May 28, 2025 | Missing ValuesSelf-Supervised Learning | CodeCode Available | 1 | 5 |
| Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection | Jul 17, 2023 | Anomaly DetectionGraph Learning | CodeCode Available | 1 | 5 |
| An Empirical Evaluation of Time-Series Feature Sets | Oct 21, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Inferring Event Descriptions from Time Series with Language Models | Mar 18, 2025 | Time Series | 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 |
| Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare | Jun 5, 2018 | Gaussian ProcessesTime Series | CodeCode Available | 1 | 5 |
| Inherently Interpretable Time Series Classification via Multiple Instance Learning | Nov 16, 2023 | Decision MakingMultiple Instance Learning | CodeCode Available | 1 | 5 |
| COT-GAN: Generating Sequential Data via Causal Optimal Transport | Jun 15, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| An Empirical Framework for Domain Generalization in Clinical Settings | Mar 20, 2021 | Domain GeneralizationTime Series | CodeCode Available | 1 | 5 |
| Counterfactual Explanations for Time Series Forecasting | Oct 12, 2023 | counterfactualTime Series | CodeCode Available | 1 | 5 |
| Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform | May 22, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| ml_edm package: a Python toolkit for Machine Learning based Early Decision Making | Aug 23, 2024 | Decision MakingEarly Classification | CodeCode Available | 1 | 5 |
| Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint Prediction | Nov 9, 2023 | Computational EfficiencyTime Series | CodeCode Available | 1 | 5 |
| Improving Deep Learning Interpretability by Saliency Guided Training | Nov 29, 2021 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| Improved Online Conformal Prediction via Strongly Adaptive Online Learning | Feb 15, 2023 | Conformal Predictionimage-classification | CodeCode Available | 1 | 5 |
| Improving Clinical Outcome Predictions Using Convolution over Medical Entities with Multimodal Learning | Nov 24, 2020 | ManagementTime Series | CodeCode Available | 1 | 5 |
| Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling | Oct 18, 2022 | ImputationIrregular Time Series | 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 |
| Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals | Jul 31, 2023 | Blood pressure estimationHypertension detection | CodeCode Available | 1 | 5 |
| CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables | May 29, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Imaging Time-Series to Improve Classification and Imputation | Jun 1, 2015 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| Axial-LOB: High-Frequency Trading with Axial Attention | Dec 4, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Bilinear Input Normalization for Neural Networks in Financial Forecasting | Sep 1, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |