| Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning | Dec 30, 2024 | Contrastive LearningLinear evaluation | CodeCode Available | 1 |
| FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification | May 29, 2025 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects | Oct 1, 2018 | regressionTime Series | CodeCode Available | 1 |
| From Time Series to Networks in R with the ts2net Package | Aug 20, 2022 | Graph MiningTime Series | CodeCode Available | 1 |
| F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information | Dec 3, 2024 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| FTMixer: Frequency and Time Domain Representations Fusion for Time Series Modeling | May 24, 2024 | Computational EfficiencyTime Series | CodeCode Available | 1 |
| Fully Spiking Variational Autoencoder | Sep 26, 2021 | Image GenerationTime Series | CodeCode Available | 1 |
| FUSU: A Multi-temporal-source Land Use Change Segmentation Dataset for Fine-grained Urban Semantic Understanding | May 29, 2024 | Change DetectionSegmentation | CodeCode Available | 1 |
| A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis | Oct 18, 2023 | Anomaly DetectionImputation | CodeCode Available | 1 |
| Gated Transformer Networks for Multivariate Time Series Classification | Mar 26, 2021 | ClassificationGeneral Classification | CodeCode Available | 1 |
| Deep Dynamic Factor Models | Jul 23, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Data Normalization for Bilinear Structures in High-Frequency Financial Time-series | Jan 10, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data | Apr 16, 2021 | BenchmarkingCausal Discovery | CodeCode Available | 1 |
| Dataset Condensation for Time Series Classification via Dual Domain Matching | Mar 12, 2024 | Data AugmentationDataset Condensation | CodeCode Available | 1 |
| D3A-TS: Denoising-Driven Data Augmentation in Time Series | Dec 9, 2023 | Data AugmentationDenoising | CodeCode Available | 1 |
| DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series | Apr 17, 2024 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| Dataset: Impact Events for Structural Health Monitoring of a Plastic Thin Plate | Sep 20, 2022 | Structural Health MonitoringTime Series | CodeCode Available | 1 |
| Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress | Sep 29, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| A Generalised Signature Method for Multivariate Time Series Feature Extraction | Jun 1, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| CUTS+: High-dimensional Causal Discovery from Irregular Time-series | May 10, 2023 | Causal DiscoveryDecision Making | CodeCode Available | 1 |
| An Analysis of Linear Time Series Forecasting Models | Mar 21, 2024 | Formregression | CodeCode Available | 1 |
| A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting | Jul 28, 2022 | Conformal PredictionDecision Making | CodeCode Available | 1 |
| CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation | Jul 7, 2021 | Audio SynthesisImage Generation | CodeCode Available | 1 |
| CUTS: Neural Causal Discovery from Irregular Time-Series Data | Feb 15, 2023 | Causal DiscoveryGraph Neural Network | CodeCode Available | 1 |
| dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification | Jul 25, 2022 | ClassificationExplainable Models | CodeCode Available | 1 |
