| Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark | Oct 12, 2015 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts | Jan 25, 2025 | Mixture-of-ExpertsPrediction | CodeCode Available | 1 | 5 |
| CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting | Sep 27, 2024 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space | Nov 26, 2020 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks | Jul 31, 2020 | Data AugmentationGeneral Classification | CodeCode Available | 1 | 5 |
| Change Point Detection in Time Series Data using Autoencoders with a Time-Invariant Representation | Aug 21, 2020 | Change Point DetectionTime Series | CodeCode Available | 1 | 5 |
| A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data | Jul 20, 2020 | Few-Shot LearningMulti-Task Learning | CodeCode Available | 1 | 5 |
| Chaos as an interpretable benchmark for forecasting and data-driven modelling | Oct 11, 2021 | BenchmarkingSymbolic Regression | CodeCode Available | 1 | 5 |
| Changing Fashion Cultures | Mar 23, 2017 | Cultural Vocal Bursts Intensity PredictionTime Series | CodeCode Available | 1 | 5 |
| Badgers: generating data quality deficits with Python | Jul 10, 2023 | Time Series | CodeCode Available | 1 | 5 |
