| BolT: Fused Window Transformers for fMRI Time Series Analysis | May 23, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests | Jul 14, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| An Experimental Review on Deep Learning Architectures for Time Series Forecasting | Mar 22, 2021 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| FedMood: Federated Learning on Mobile Health Data for Mood Detection | Feb 6, 2021 | BIG-bench Machine LearningDepression Detection | CodeCode Available | 1 | 5 |
| Bayesian hierarchical stacking: Some models are (somewhere) useful | Jan 22, 2021 | Bayesian InferenceTime Series | CodeCode Available | 1 | 5 |
| Error-quantified Conformal Inference for Time Series | Feb 2, 2025 | PredictionTime Series | CodeCode Available | 1 | 5 |
| ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data | Jul 24, 2020 | Activity RecognitionChange Point Detection | CodeCode Available | 1 | 5 |
| Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting | Jul 4, 2023 | DecoderTime Series | CodeCode Available | 1 | 5 |
| A Comprehensive Python Library for Deep Learning-Based Event Detection in Multivariate Time Series Data and Information Retrieval in NLP | Oct 25, 2023 | Binary ClassificationDeep Learning | CodeCode Available | 1 | 5 |
| Building an Automated and Self-Aware Anomaly Detection System | Nov 10, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Entropy Causal Graphs for Multivariate Time Series Anomaly Detection | Dec 15, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation | Jan 9, 2025 | Test-time AdaptationTime Series | CodeCode Available | 1 | 5 |
| CAFO: Feature-Centric Explanation on Time Series Classification | Jun 3, 2024 | ClassificationFeature Importance | CodeCode Available | 1 | 5 |
| CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning | Sep 30, 2021 | Activity RecognitionContrastive Learning | CodeCode Available | 1 | 5 |
| Calibration of Google Trends Time Series | Jul 27, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift | Oct 23, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics | Jun 21, 2022 | SchedulingTime Series | CodeCode Available | 1 | 5 |
| CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level | May 3, 2022 | Intrusion DetectionTime Series | CodeCode Available | 1 | 5 |
| Can LLMs Understand Time Series Anomalies? | Oct 7, 2024 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Can Multimodal LLMs Perform Time Series Anomaly Detection? | Feb 25, 2025 | Anomaly DetectionIrregular Time Series | CodeCode Available | 1 | 5 |
| High-Dimensional Granger Causality Tests with an Application to VIX and News | Dec 13, 2019 | regressionTime Series | CodeCode Available | 1 | 5 |
| Badgers: generating data quality deficits with Python | Jul 10, 2023 | Time Series | CodeCode Available | 1 | 5 |
| Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models | Nov 14, 2022 | ECG ClassificationState Space Models | CodeCode Available | 1 | 5 |
| Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs | Apr 10, 2025 | Multimodal Large Language ModelTime Series | CodeCode Available | 1 | 5 |
| Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting | Feb 17, 2022 | Conformal PredictionPrediction Intervals | CodeCode Available | 1 | 5 |
