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| Extracting Interpretable Local and Global Representations from Attention on Time Series | Sep 16, 2023 | Time Series | CodeCode Available | 0 | 5 |
| DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series | Aug 24, 2022 | AstronomyClassification | CodeCode Available | 0 | 5 |
| DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection | Apr 19, 2025 | Anomaly DetectionContrastive Learning | CodeCode Available | 0 | 5 |
| Factor-augmented tree ensembles | Nov 27, 2021 | Ensemble Learningregression | CodeCode Available | 0 | 5 |
| Leveraging the Self-Transition Probability of Ordinal Pattern Transition Graph for Transportation Mode Classification | Jul 16, 2020 | General ClassificationTime Series | CodeCode Available | 0 | 5 |
| LFZip: Lossy compression of multivariate floating-point time series data via improved prediction | Nov 1, 2019 | Data CompressionQuantization | CodeCode Available | 0 | 5 |
| Differential Evolution Algorithm based Hyper-Parameters Selection of Transformer Neural Network Model for Load Forecasting | Jul 28, 2023 | Load ForecastingTime Series | CodeCode Available | 0 | 5 |
| DCIts -- Deep Convolutional Interpreter for time series | Jan 8, 2025 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 0 | 5 |
| Exponentially Weighted Moving Models | Apr 11, 2024 | Time Series | CodeCode Available | 0 | 5 |