| Knowledge Enhanced Conditional Imputation for Healthcare Time-series | Dec 27, 2023 | BenchmarkingImputation | CodeCode Available | 0 | 5 |
| Fine-Tuning a Time Series Foundation Model with Wasserstein Loss | Sep 18, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 0 | 5 |
| A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models | Jan 2, 2025 | Hyperparameter OptimizationMamba | CodeCode Available | 0 | 5 |
| Analyzing Dynamical Brain Functional Connectivity As Trajectories on Space of Covariance Matrices | Apr 10, 2019 | ClusteringDimensionality Reduction | CodeCode Available | 0 | 5 |
| Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study | May 18, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 0 | 5 |
| Adversarial Constraint Learning for Structured Prediction | May 27, 2018 | Pose EstimationPrediction | CodeCode Available | 0 | 5 |
| Detecting Cointegrating Relations in Non-stationary Matrix-Valued Time Series | Nov 8, 2024 | Time Series | CodeCode Available | 0 | 5 |
| Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation | Jul 12, 2023 | Decision MakingImage Inpainting | CodeCode Available | 0 | 5 |
| fETSmcs: Feature-based ETS model component selection | Jun 26, 2022 | modelModel Selection | CodeCode Available | 0 | 5 |
| DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting | Aug 5, 2024 | PositionSparse Learning | CodeCode Available | 0 | 5 |
| Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning | Oct 17, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 0 | 5 |
| Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction | Jan 7, 2018 | Missing ValuesTime Series | CodeCode Available | 0 | 5 |
| Few-shot human motion prediction for heterogeneous sensors | Dec 22, 2022 | Few-Shot LearningHuman motion prediction | CodeCode Available | 0 | 5 |
| Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs | Jun 2, 2023 | Federated LearningTime Series | CodeCode Available | 0 | 5 |
| Federated Learning for Time-Series Healthcare Sensing with Incomplete Modalities | May 20, 2024 | Computational EfficiencyFederated Learning | CodeCode Available | 0 | 5 |
| A Comparative Study of Transformer-Based Models for Multi-Horizon Blood Glucose Prediction | May 12, 2025 | PredictionTime Series | CodeCode Available | 0 | 5 |
| Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity | Jul 2, 2024 | Demand ForecastingTime Series | CodeCode Available | 0 | 5 |
| DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series | Dec 19, 2018 | Anomaly DetectionTime Series | CodeCode Available | 0 | 5 |
| Augmenting Neural Differential Equations to Model Unknown Dynamical Systems with Incomplete State Information | Aug 19, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Bayesian Online Changepoint Detection | Oct 19, 2007 | Change Point DetectionTime Series | CodeCode Available | 0 | 5 |
| Feature space approximation for kernel-based supervised learning | Nov 25, 2020 | regressionTime Series | CodeCode Available | 0 | 5 |
| Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection | Apr 19, 2018 | Anomaly DetectionFraud Detection | CodeCode Available | 0 | 5 |
| A New Deep Learning Architecture withInductive Bias Balance for Transformer Oil Temperature Forecasting | May 28, 2023 | Inductive BiasTime Series | CodeCode Available | 0 | 5 |
| Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection | Feb 8, 2025 | Anomaly DetectionComputational Efficiency | CodeCode Available | 0 | 5 |
| Augmented Invertible Koopman Autoencoder for long-term time series forecasting | Mar 17, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 0 | 5 |
