| A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis | Sep 10, 2022 | Anomaly DetectionDiversity | —Unverified | 0 |
| A Multilayered Block Network Model to Forecast Large Dynamic Transportation Graphs: an Application to US Air Transport | Nov 29, 2019 | Bayesian InferenceData Augmentation | —Unverified | 0 |
| Deep Directed Information-Based Learning for Privacy-Preserving Smart Meter Data Release | Nov 20, 2020 | Privacy PreservingTime Series | —Unverified | 0 |
| Investigating Deep Neural Network Architecture and Feature Extraction Designs for Sensor-based Human Activity Recognition | Sep 26, 2023 | Activity RecognitionContrastive Learning | —Unverified | 0 |
| AutoCTS: Automated Correlated Time Series Forecasting -- Extended Version | Dec 21, 2021 | Correlated Time Series ForecastingTime Series | —Unverified | 0 |
| Deep Dict: Deep Learning-based Lossy Time Series Compressor for IoT Data | Jan 18, 2024 | Time Series | —Unverified | 0 |
| Analyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning | Jan 10, 2025 | Time Series | —Unverified | 0 |
| Investigating echo state networks dynamics by means of recurrence analysis | Jan 26, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks | Oct 17, 2018 | regressionTime Series | —Unverified | 0 |
| Deep Decomposition for Stochastic Normal-Abnormal Transport | Nov 29, 2021 | Optical Flow EstimationTime Series | —Unverified | 0 |
