| Discovering Communication Pattern Shifts in Large-Scale Labeled Networks using Encoder Embedding and Vertex Dynamics | May 3, 2023 | Time Series | CodeCode Available | 1 | 5 |
| Dimensionality reduction to maximize prediction generalization capability | Mar 1, 2020 | Dimensionality ReductionPrediction | CodeCode Available | 1 | 5 |
| Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization | Jun 29, 2024 | Dynamic Time WarpingPrediction | CodeCode Available | 1 | 5 |
| Instance-based Counterfactual Explanations for Time Series Classification | Sep 28, 2020 | Classificationcounterfactual | CodeCode Available | 1 | 5 |
| Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting | Feb 11, 2025 | Time Series | CodeCode Available | 1 | 5 |
| Discovering Nonlinear Relations with Minimum Predictive Information Regularization | Jan 7, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting | Sep 2, 2021 | AttributeMulti-Task Learning | CodeCode Available | 1 | 5 |
| Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting | Nov 26, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach | Mar 22, 2023 | Earth ObservationSegmentation | CodeCode Available | 1 | 5 |
| Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series | Oct 19, 2023 | DiversityFeature Engineering | CodeCode Available | 1 | 5 |
