| Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms | May 26, 2021 | Anomaly DetectionNovelty Detection | —Unverified | 0 | 0 |
| Active Privacy-Utility Trade-off Against Inference in Time-Series Data Sharing | Feb 11, 2022 | Action DetectionActivity Detection | —Unverified | 0 | 0 |
| EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction | Nov 9, 2018 | PredictionTime Series | —Unverified | 0 | 0 |
| E2GAN: End-to-End Generative Adversarial Network or Multivariate Time Series Imputation | Aug 10, 2019 | Generative Adversarial NetworkImputation | —Unverified | 0 | 0 |
| DySurv: dynamic deep learning model for survival analysis with conditional variational inference | Oct 28, 2023 | Deep LearningSurvival Analysis | —Unverified | 0 | 0 |
| Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction | Dec 10, 2021 | feature selectionTime Series | —Unverified | 0 | 0 |
| DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and Temporal Relatedness | Sep 26, 2022 | Activity RecognitionDenoising | —Unverified | 0 | 0 |
| Building a Multivariate Time Series Benchmarking Datasets Inspired by Natural Language Processing (NLP) | Oct 14, 2024 | BenchmarkingMulti-Task Learning | —Unverified | 0 | 0 |
| Dynamic Window-level Granger Causality of Multi-channel Time Series | Jun 14, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Building a Fuel Moisture Model for the Coupled Fire-Atmosphere Model WRF-SFIRE from Data: From Kalman Filters to Recurrent Neural Networks | Jan 13, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Anomaly detection in laser-guided vehicles' batteries: a case study | Dec 27, 2022 | Anomaly DetectionScheduling | —Unverified | 0 | 0 |
| Dynamic Time Warping for Lead-Lag Relationships in Lagged Multi-Factor Models | Sep 15, 2023 | Dynamic Time WarpingTime Series | —Unverified | 0 | 0 |
| Dynamic Time Warp Convolutional Networks | Nov 5, 2019 | Temporal SequencesTime Series | —Unverified | 0 | 0 |
| BSSAD: Towards A Novel Bayesian State-Space Approach for Anomaly Detection in Multivariate Time Series | Jan 30, 2023 | Anomaly DetectionState Space Models | —Unverified | 0 | 0 |
| Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing | Sep 13, 2019 | Decision MakingFeature Engineering | —Unverified | 0 | 0 |
| Dynamic Structural Causal Models | Jun 3, 2024 | Causal DiscoveryTime Series | —Unverified | 0 | 0 |
| Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching | Jul 9, 2025 | Time SeriesTime Series Forecasting | —Unverified | 0 | 0 |
| Dynamic Spatiotemporal Graph Neural Network with Tensor Network | Mar 12, 2020 | graph constructionGraph Neural Network | —Unverified | 0 | 0 |
| Bridging the Gap: Decoding the Intrinsic Nature of Time in Market Data | Apr 6, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Anomaly detection in dynamical systems from measured time series | Jan 1, 2021 | Anomaly DetectionBenchmarking | —Unverified | 0 | 0 |
| A framework for mining lifestyle profiles through multi-dimensional and high-order mobility feature clustering | Dec 1, 2023 | Common Sense ReasoningFeature Engineering | —Unverified | 0 | 0 |
| Activations Through Extensions: A Framework To Boost Performance Of Neural Networks | Aug 7, 2024 | Time Series | —Unverified | 0 | 0 |
| Dynamic Social Media Monitoring for Fast-Evolving Online Discussions | Feb 24, 2021 | Decision MakingTime Series | —Unverified | 0 | 0 |
| Bridging the Gap: A Decade Review of Time-Series Clustering Methods | Dec 29, 2024 | AstronomyClustering | —Unverified | 0 | 0 |
| Dynamics, behaviours, and anomaly persistence in cryptocurrencies and equities surrounding COVID-19 | Jan 3, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |