| LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations | Apr 19, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Exploring Kolmogorov-Arnold Networks for Interpretable Time Series Classification | Nov 22, 2024 | ClassificationComputational Efficiency | CodeCode Available | 0 | 5 |
| Data Matters: The Case of Predicting Mobile Cellular Traffic | Oct 21, 2024 | PredictionTime Series | CodeCode Available | 0 | 5 |
| FreqRISE: Explaining time series using frequency masking | Jun 19, 2024 | Decision MakingExplainable artificial intelligence | CodeCode Available | 0 | 5 |
| Explanation Space: A New Perspective into Time Series Interpretability | Sep 2, 2024 | Time Series | CodeCode Available | 0 | 5 |
| Explaining Deep Classification of Time-Series Data with Learned Prototypes | Apr 18, 2019 | ClassificationDecision Making | CodeCode Available | 0 | 5 |
| Data Imputation for Multivariate Time Series Sensor Data with Large Gaps of Missing Data | Jun 1, 2022 | ImputationTime Series | CodeCode Available | 0 | 5 |
| LTC-SE: Expanding the Potential of Liquid Time-Constant Neural Networks for Scalable AI and Embedded Systems | Apr 18, 2023 | Time SeriesTime Series Prediction | CodeCode Available | 0 | 5 |
| M^2AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding | Apr 21, 2025 | Anomaly DetectionTime Series | CodeCode Available | 0 | 5 |
| Explaining Deep Learning Models for Age-related Gait Classification based on time series acceleration | Nov 20, 2023 | Explainable artificial intelligenceTime Series | CodeCode Available | 0 | 5 |
