| RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal Multivariate Time Series | Nov 16, 2019 | Anomaly DetectionCausal Inference | —Unverified | 0 | 0 |
| RTbust: Exploiting Temporal Patterns for Botnet Detection on Twitter | Feb 12, 2019 | ClusteringTime Series | —Unverified | 0 | 0 |
| RTFN: A Robust Temporal Feature Network for Time Series Classification | Nov 24, 2020 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| RTFN: Robust Temporal Feature Network | Aug 18, 2020 | ClusteringTime Series | —Unverified | 0 | 0 |
| Automated Mobility Context Detection with Inertial Signals | May 16, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| An Anomaly Detection Method for Satellites Using Monte Carlo Dropout | Nov 27, 2022 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction | Dec 23, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Russia-Ukraine war: Modeling and Clustering the Sentiments Trends of Various Countries | Jan 2, 2023 | ClusteringTime Series | —Unverified | 0 | 0 |
| Joint Problems in Learning Multiple Dynamical Systems | Nov 3, 2023 | ClusteringTime Series | —Unverified | 0 | 0 |
| Joint Prediction Regions for time-series models | May 14, 2024 | PredictionPrediction Intervals | —Unverified | 0 | 0 |
| S^3NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural Networks | Jan 26, 2022 | Efficient Neural NetworkTime Series | —Unverified | 0 | 0 |
| S2TX: Cross-Attention Multi-Scale State-Space Transformer for Time Series Forecasting | Feb 17, 2025 | MambaTime Series | —Unverified | 0 | 0 |
| Deep Generative Quantile-Copula Models for Probabilistic Forecasting | Jul 24, 2019 | Probabilistic Time Series Forecastingquantile regression | —Unverified | 0 | 0 |
| S4: Self-Supervised Sensing Across the Spectrum | May 2, 2024 | SegmentationTime Series | —Unverified | 0 | 0 |
| Joint Normality Test Via Two-Dimensional Projection | Oct 8, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Automated Machine Learning on Big Data using Stochastic Algorithm Tuning | Jul 30, 2014 | Bayesian OptimisationBenchmarking | —Unverified | 0 | 0 |
| Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting | Nov 29, 2022 | Correlated Time Series ForecastingTime Series | —Unverified | 0 | 0 |
| Safe-FinRL: A Low Bias and Variance Deep Reinforcement Learning Implementation for High-Freq Stock Trading | Jun 13, 2022 | Deep Reinforcement LearningTime Series | —Unverified | 0 | 0 |
| Joint multifractal analysis based on the partition function approach: Analytical analysis, numerical simulation and empirical application | Sep 20, 2015 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Joint Multi-Dimensional Model for Global and Time-Series Annotations | May 6, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Joint modeling of multiple time series via the beta process with application to motion capture segmentation | Aug 22, 2013 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Deep Generative Modeling for Financial Time Series with Application in VaR: A Comparative Review | Jan 18, 2024 | DecoderTime Series | —Unverified | 0 | 0 |
| Automated Label Generation for Time Series Classification with Representation Learning: Reduction of Label Cost for Training | Jul 12, 2021 | Representation LearningTime Series | —Unverified | 0 | 0 |
| Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values | Nov 22, 2019 | Missing ValuesMultivariate Time Series Forecasting | —Unverified | 0 | 0 |
| Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks | Mar 24, 2017 | Point ProcessesTime Series | —Unverified | 0 | 0 |
| Sales forecasting using WaveNet within the framework of the Kaggle competition | Mar 11, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Sales Time Series Analytics Using Deep Q-Learning | Jan 6, 2022 | Active LearningDecision Making | —Unverified | 0 | 0 |
| SALSA: Sequential Approximate Leverage-Score Algorithm with Application in Analyzing Big Time Series Data | Dec 30, 2023 | Time Series | —Unverified | 0 | 0 |
| Deep Generative Methods for Producing Forecast Trajectories in Power Systems | Sep 26, 2023 | Decision MakingRTE | —Unverified | 0 | 0 |
| Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI | Oct 15, 2019 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| Automated Knowledge Graph Learning in Industrial Processes | Jul 2, 2024 | Decision MakingGraph Learning | —Unverified | 0 | 0 |
| Joint Forecasting and Interpolation of Graph Signals Using Deep Learning | Jun 2, 2020 | Deep LearningTime Series | —Unverified | 0 | 0 |
| Sample Complexity of the Robust LQG Regulator with Coprime Factors Uncertainty | Sep 29, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Deep Generative Domain Adaptation with Temporal Attention for Cross-User Activity Recognition | Mar 12, 2024 | Activity RecognitionDomain Adaptation | —Unverified | 0 | 0 |
| Sampling Theory of Bandlimited Continuous-Time Graph Signals | Oct 20, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| SA-NET.v2: Real-time vehicle detection from oblique UAV images with use of uncertainty estimation in deep meta-learning | Aug 4, 2022 | Meta-LearningSemantic Segmentation | —Unverified | 0 | 0 |
| Joint Estimation of Multiple Graphical Models from High Dimensional Time Series | Nov 1, 2013 | parameter estimationTime Series | —Unverified | 0 | 0 |
| Deep Generative Domain Adaptation with Temporal Relation Knowledge for Cross-User Activity Recognition | Mar 12, 2024 | Activity RecognitionDomain Adaptation | —Unverified | 0 | 0 |
| Automated Few-Shot Time Series Forecasting based on Bi-level Programming | Mar 7, 2022 | Decision MakingFew-Shot Learning | —Unverified | 0 | 0 |
| sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation | Sep 5, 2023 | ImputationTime Series | —Unverified | 0 | 0 |
| An analysis of deep neural networks for predicting trends in time series data | Sep 16, 2020 | Speech RecognitionTime Series | —Unverified | 0 | 0 |
| A Distance Correlation-Based Approach to Characterize the Effectiveness of Recurrent Neural Networks for Time Series Forecasting | Jul 28, 2023 | Time SeriesTime Series Forecasting | —Unverified | 0 | 0 |
| A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series | Dec 18, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| A Bayesian Ensemble for Unsupervised Anomaly Detection | Oct 24, 2016 | Anomaly DetectionClustering | —Unverified | 0 | 0 |
| Super-resolution of Time-series Labels for Bootstrapped Event Detection | Jun 1, 2019 | Event DetectionSuper-Resolution | —Unverified | 0 | 0 |
| Saving for sunny days: The impact of climate (change) on consumer prices in the euro area | Jan 8, 2024 | Time Series | —Unverified | 0 | 0 |
| tsmp: An R Package for Time Series with Matrix Profile | Apr 18, 2019 | ArticlesSemantic Segmentation | —Unverified | 0 | 0 |
| Scalable and Hybrid Ensemble-Based Causality Discovery | Dec 24, 2020 | BenchmarkingDistributed Computing | —Unverified | 0 | 0 |
| Joint community and anomaly tracking in dynamic networks | Jun 25, 2015 | Community DetectionTime Series | —Unverified | 0 | 0 |
| Joint Characterization of Multiscale Information in High Dimensional Data | Feb 18, 2021 | Dimensionality ReductionTime Series | —Unverified | 0 | 0 |