| k-Parameter Approach for False In-Season Anomaly Suppression in Daily Time Series Anomaly Detection | Nov 10, 2023 | Anomaly DetectionPosition | —Unverified | 0 |
| KPF-AE-LSTM: A Deep Probabilistic Model for Net-Load Forecasting in High Solar Scenarios | Mar 5, 2022 | Load ForecastingTime Series | —Unverified | 0 |
| InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting | Mar 5, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| Krylov Subspace Recycling for Fast Iterative Least-Squares in Machine Learning | Jun 1, 2017 | BIG-bench Machine LearningTime Series | —Unverified | 0 |
| Deep Learning Based on Generative Adversarial and Convolutional Neural Networks for Financial Time Series Predictions | Aug 8, 2020 | BIG-bench Machine LearningGenerative Adversarial Network | —Unverified | 0 |
| Label-Efficient Interactive Time-Series Anomaly Detection | Dec 30, 2022 | Active LearningAnomaly Detection | —Unverified | 0 |
| Label-efficient Time Series Representation Learning: A Review | Feb 13, 2023 | Representation LearningSelf-Supervised Learning | —Unverified | 0 |
| Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation | Apr 30, 2020 | Earth ObservationTime Series | —Unverified | 0 |
| Lagged correlation-based deep learning for directional trend change prediction in financial time series | Nov 27, 2018 | Feature EngineeringTime Series | —Unverified | 0 |
| Initializing LSTM internal states via manifold learning | Apr 27, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
