| Interpretable Time Series Classification using Linear Models and Multi-resolution Multi-domain Symbolic Representations | May 31, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 |
| Evaluation of post-hoc interpretability methods in time-series classification | Feb 11, 2022 | ClassificationTime Series | CodeCode Available | 1 |
| Inter-Series Attention Model for COVID-19 Forecasting | Oct 25, 2020 | modelTime Series | CodeCode Available | 1 |
| CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting | Jun 8, 2024 | AttributeMamba | CodeCode Available | 1 |
| Cloud gap-filling with deep learning for improved grassland monitoring | Mar 14, 2024 | Deep LearningEvent Detection | CodeCode Available | 1 |
| CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations | May 25, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| Jumping VaR: Order Statistics Volatility Estimator for Jumps Classification and Market Risk Modeling | Mar 22, 2018 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks | Nov 1, 2024 | Anomaly DetectionKolmogorov-Arnold Networks | CodeCode Available | 1 |
| BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition | Aug 28, 2023 | Computational EfficiencyGaussian Processes | CodeCode Available | 1 |
| Keiki: Towards Realistic Danmaku Generation via Sequential GANs | Jul 7, 2021 | DiversityTime Series | CodeCode Available | 1 |
| Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM Model | Jun 5, 2020 | ClassificationDiagnostic | CodeCode Available | 1 |
| Conditional GAN for timeseries generation | Jun 30, 2020 | Generative Adversarial NetworkTime Series | CodeCode Available | 1 |
| Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning | Jun 23, 2020 | Knowledge GraphsMulti-Task Learning | CodeCode Available | 1 |
| ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method | Apr 10, 2025 | Time SeriesWeather Forecasting | CodeCode Available | 1 |
| Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative | Feb 13, 2025 | ImputationTime Series | CodeCode Available | 1 |
| Closed-Form Diffeomorphic Transformations for Time Series Alignment | Jun 16, 2022 | CPUForm | CodeCode Available | 1 |
| A Synthetic Texas Power System with Time-Series Weather-Dependent Spatiotemporal Profiles | Feb 26, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization | Jul 4, 2023 | Data AugmentationDecision Making | CodeCode Available | 1 |
| Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting | May 30, 2023 | DecoderTime Series | CodeCode Available | 1 |
| Conditional Sig-Wasserstein GANs for Time Series Generation | Jun 9, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Benchmarking Deep Learning Interpretability in Time Series Predictions | Oct 26, 2020 | BenchmarkingDeep Learning | CodeCode Available | 1 |
| LEAD1.0: A Large-scale Annotated Dataset for Energy Anomaly Detection in Commercial Buildings | Mar 30, 2022 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Learned Compression of Nonlinear Time Series With Random Access | Dec 20, 2024 | Time Series | CodeCode Available | 1 |
| Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting | Dec 11, 2024 | Adversarial AttackTime Series | CodeCode Available | 1 |
| Context-self contrastive pretraining for crop type semantic segmentation | Apr 9, 2021 | Contrastive LearningSegmentation | CodeCode Available | 1 |
