| An Evaluation of Change Point Detection Algorithms | Mar 13, 2020 | Change Point DetectionTime 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 |
| Adversarial Attacks on Probabilistic Autoregressive Forecasting Models | Mar 8, 2020 | Decision MakingTime Series | CodeCode Available | 1 |
| Human Activity Recognition from Wearable Sensor Data Using Self-Attention | Mar 17, 2020 | Activity RecognitionHuman Activity Recognition | CodeCode Available | 1 |
| Adversarial Attacks on Time Series | Feb 27, 2019 | ClassificationDynamic Time Warping | CodeCode Available | 1 |
| Bayesian hierarchical stacking: Some models are (somewhere) useful | Jan 22, 2021 | Bayesian InferenceTime Series | CodeCode Available | 1 |
| An Evaluation of Deep Learning Models for Stock Market Trend Prediction | Aug 22, 2024 | DenoisingTime Series | CodeCode Available | 1 |
| Imaging Time-Series to Improve Classification and Imputation | Jun 1, 2015 | ClassificationGeneral Classification | CodeCode Available | 1 |
| Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations | Apr 13, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Improving Clinical Outcome Predictions Using Convolution over Medical Entities with Multimodal Learning | Nov 24, 2020 | ManagementTime Series | CodeCode Available | 1 |
| Improving Deep Learning Interpretability by Saliency Guided Training | Nov 29, 2021 | Deep LearningTime Series | CodeCode Available | 1 |
| Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling | Oct 18, 2022 | ImputationIrregular Time Series | CodeCode Available | 1 |
| Compatible deep neural network framework with financial time series data, including data preprocessor, neural network model and trading strategy | May 11, 2022 | Binary ClassificationFeature Engineering | 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 |
| Bayesian Neural Architecture Search using A Training-Free Performance Metric | Jan 29, 2020 | Bayesian OptimizationNeural Architecture Search | CodeCode Available | 1 |
| PITN: Physics-Informed Temporal Networks for Cuffless Blood Pressure Estimation | Aug 16, 2024 | Blood pressure estimationContrastive Learning | 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 |
| CODiT: Conformal Out-of-Distribution Detection in Time-Series Data | Jul 24, 2022 | Anomaly DetectionAutonomous Driving | CodeCode Available | 1 |
| Compatible Transformer for Irregularly Sampled Multivariate Time Series | Oct 17, 2023 | Time Series | CodeCode Available | 1 |
| Interpretable Models for Granger Causality Using Self-explaining Neural Networks | Jan 19, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Interpretable Multivariate Time Series Forecasting with Temporal Attention Convolutional Neural Networks | Jan 1, 2021 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| Interpretable Time Series Classification using All-Subsequence Learning and Symbolic Representations in Time and Frequency Domains | Aug 12, 2018 | AllClassification | CodeCode Available | 1 |
| 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 |
