| Hierarchical Classification Auxiliary Network for Time Series Forecasting | May 29, 2024 | ClassificationTime Series | CodeCode Available | 1 |
| Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets | Sep 28, 2021 | ClassificationTime Series | CodeCode Available | 1 |
| Highly comparative time-series analysis: The empirical structure of time series and their methods | Apr 3, 2013 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Convolutional Radio Modulation Recognition Networks | Feb 12, 2016 | General ClassificationTime Series | CodeCode Available | 1 |
| HIVE-COTE 2.0: a new meta ensemble for time series classification | Apr 15, 2021 | General ClassificationTime Series | CodeCode Available | 1 |
| How Much Can Time-related Features Enhance Time Series Forecasting? | Dec 2, 2024 | Computational EfficiencyTime Series | CodeCode Available | 1 |
| How to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series | Apr 23, 2020 | Anomaly DetectionRespiratory Failure | CodeCode Available | 1 |
| Convolution-enhanced Evolving Attention Networks | Dec 16, 2022 | image-classificationImage Classification | CodeCode Available | 1 |
| Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals | Jul 31, 2023 | Blood pressure estimationHypertension detection | CodeCode Available | 1 |
| ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection | Jul 3, 2023 | Anomaly DetectionImputation | CodeCode Available | 1 |
| ANT: Adaptive Noise Schedule for Time Series Diffusion Models | Oct 18, 2024 | Time Series | CodeCode Available | 1 |
| A Review of Graph Neural Networks and Their Applications in Power Systems | Jan 25, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint Prediction | Nov 9, 2023 | Computational EfficiencyTime Series | CodeCode Available | 1 |
| Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling | Oct 18, 2022 | ImputationIrregular Time Series | CodeCode Available | 1 |
| Improving Position Encoding of Transformers for Multivariate Time Series Classification | May 26, 2023 | Anomaly DetectionPosition | CodeCode Available | 1 |
| An Unsupervised Approach for Periodic Source Detection in Time Series | Jun 1, 2024 | Self-Supervised LearningTime Series | CodeCode Available | 1 |
| Inductive Graph Neural Networks for Spatiotemporal Kriging | Jun 13, 2020 | Graph Neural NetworkTime Series | CodeCode Available | 1 |
| Inferring Event Descriptions from Time Series with Language Models | Mar 18, 2025 | Time Series | CodeCode Available | 1 |
| An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection | Aug 19, 2022 | Anomaly DetectionRepresentation Learning | CodeCode Available | 1 |
| Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE | Jun 3, 2020 | General Classificationimage-classification | CodeCode Available | 1 |
| Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting | Dec 14, 2020 | DecoderMultivariate Time Series Forecasting | CodeCode Available | 1 |
| Insights into LSTM Fully Convolutional Networks for Time Series Classification | Feb 27, 2019 | ClassificationGeneral Classification | CodeCode Available | 1 |
| Instance-based Counterfactual Explanations for Time Series Classification | Sep 28, 2020 | Classificationcounterfactual | CodeCode Available | 1 |
| Contrastive Neural Processes for Self-Supervised Learning | Oct 24, 2021 | Contrastive LearningData Augmentation | CodeCode Available | 1 |
| A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning | May 30, 2023 | Anomaly DetectionData Augmentation | CodeCode Available | 1 |
