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| Koopman Learning with Episodic Memory | Nov 21, 2023 | Time Series | —Unverified | 0 |
| Koopman Mode Decomposition of Oscillatory Temperature Field inside a Room | Aug 27, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts | Oct 7, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Automatic Detection Of Noise Events at Shooting Range Using Machine Learning | Jul 23, 2021 | BIG-bench Machine LearningTime Series | —Unverified | 0 |
| 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 |
| 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 |
| 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 |
| Initializing LSTM internal states via manifold learning | Apr 27, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Initialization of multilayer forecasting artifical neural networks | Oct 23, 2014 | PredictionTime 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 |
| Decision-Aware Conditional GANs for Time Series Data | Sep 26, 2020 | Generative Adversarial NetworkTime Series | —Unverified | 0 |
| Lagrange regularisation approach to compare nested data sets and determine objectively financial bubbles' inceptions | Jul 22, 2017 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Lag selection and estimation of stable parameters for multiple autoregressive processes through convex programming | Mar 3, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Deep learning delay coordinate dynamics for chaotic attractors from partial observable data | Nov 20, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion | Aug 2, 2023 | DescriptiveFeature Engineering | —Unverified | 0 |
| A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services | Sep 4, 2018 | Deep LearningGeneral Classification | —Unverified | 0 |
| Land Cover Classification via Multi-temporal Spatial Data by Recurrent Neural Networks | Apr 13, 2017 | ClassificationEarth Observation | —Unverified | 0 |
| Landslide Surface Displacement Prediction Based on VSXC-LSTM Algorithm | Jul 24, 2023 | PredictionTime Series | —Unverified | 0 |
| Land use/land cover dynamics on vulnerable regions in Uruguay approached by a method combining Maximum Entropy and Population Dynamics | Dec 13, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Automatic Forecasting via Meta-Learning | Sep 29, 2021 | Meta-LearningTime Series | —Unverified | 0 |
| Initialization matters: Orthogonal Predictive State Recurrent Neural Networks | Jan 1, 2018 | regressionTime Series | —Unverified | 0 |