| 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 |
