| RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering | Jun 10, 2019 | Anomaly DetectionSparse Learning | CodeCode Available | 0 |
| Fine-Tuning a Time Series Foundation Model with Wasserstein Loss | Sep 18, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
| RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series | Dec 5, 2018 | Anomaly DetectionTime Series | CodeCode Available | 0 |
| Robust Real-Time Mortality Prediction in the Intensive Care Unit using Temporal Difference Learning | Nov 6, 2024 | Irregular Time SeriesMortality Prediction | CodeCode Available | 0 |
| Robust Predictions with Ambiguous Time Delays: A Bootstrap Strategy | Aug 23, 2024 | Time Series | CodeCode Available | 0 |
| Robust Parameter-Free Season Length Detection in Time Series | Nov 14, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Fine-grained Forecasting Models Via Gaussian Process Blurring Effect | Dec 21, 2023 | DenoisingImage Generation | CodeCode Available | 0 |
| Robust One-Step Estimation of Impulsive Time Series | Apr 26, 2023 | Time Series | CodeCode Available | 0 |
| Robustness Verification of Deep Neural Networks using Star-Based Reachability Analysis with Variable-Length Time Series Input | Jul 26, 2023 | Anomaly DetectionTime Series | CodeCode Available | 0 |
| Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative Study | Jun 13, 2023 | Data AugmentationTime Series | CodeCode Available | 0 |
| Robust Multi-Modal Forecasting: Integrating Static and Dynamic Features | May 21, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
| Motion Code: Robust Time Series Classification and Forecasting via Sparse Variational Multi-Stochastic Processes Learning | Feb 21, 2024 | Gaussian ProcessesTime Series | CodeCode Available | 0 |
| Robust Lane Detection from Continuous Driving Scenes Using Deep Neural Networks | Mar 6, 2019 | Autonomous VehiclesLane Detection | CodeCode Available | 0 |
| Finding Foundation Models for Time Series Classification with a PreText Task | Nov 24, 2023 | Time SeriesTime Series Classification | CodeCode Available | 0 |
| Robust financial calibration: a Bayesian approach for neural SDEs | Sep 10, 2024 | Time Series | CodeCode Available | 0 |
| Deep Neural Dynamic Bayesian Networks applied to EEG sleep spindles modeling | Oct 16, 2020 | EEGElectroencephalogram (EEG) | CodeCode Available | 0 |
| Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network | Jul 25, 2019 | Anomaly DetectionTime Series | CodeCode Available | 0 |
| Robust and Subject-Independent Driving Manoeuvre Anticipation through Domain-Adversarial Recurrent Neural Networks | Feb 26, 2019 | Domain AdaptationTime Series | CodeCode Available | 0 |
| Co-evolutionary multi-task learning for dynamic time series prediction | Feb 27, 2017 | Evolutionary AlgorithmsMulti-Task Learning | CodeCode Available | 0 |
| A Recurrent Neural Network Survival Model: Predicting Web User Return Time | Jul 11, 2018 | Survival AnalysisTime Series | CodeCode Available | 0 |
| DMS, AE, DAA: methods and applications of adaptive time series model selection, ensemble, and financial evaluation | Oct 21, 2021 | Model SelectionTime Series | CodeCode Available | 0 |
| RIPPLE: Concept-Based Interpretation for Raw Time Series Models in Education | Dec 2, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Right on Time: Revising Time Series Models by Constraining their Explanations | Feb 20, 2024 | Time SeriesTime Series Classification | CodeCode Available | 0 |
| Riesz-Quincunx-UNet Variational Auto-Encoder for Satellite Image Denoising | Aug 25, 2022 | DenoisingImage Denoising | CodeCode Available | 0 |
| Revisit Time Series Classification Benchmark: The Impact of Temporal Information for Classification | Mar 26, 2025 | ClassificationTime Series | CodeCode Available | 0 |
| Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study | Jul 17, 2023 | Time SeriesTransfer Learning | CodeCode Available | 0 |
| Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation | Jul 12, 2023 | Decision MakingImage Inpainting | CodeCode Available | 0 |
| Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models | May 31, 2025 | SensitivityTime Series | CodeCode Available | 0 |
| Few-shot human motion prediction for heterogeneous sensors | Dec 22, 2022 | Few-Shot LearningHuman motion prediction | CodeCode Available | 0 |
| Revealing the Power of Masked Autoencoders in Traffic Forecasting | Sep 26, 2023 | DecoderMultivariate Time Series Forecasting | CodeCode Available | 0 |
| Reusing Convolutional Activations from Frame to Frame to Speed up Training and Inference | Sep 2, 2019 | Atari GamesTime Series | CodeCode Available | 0 |
| fETSmcs: Feature-based ETS model component selection | Jun 26, 2022 | modelModel Selection | CodeCode Available | 0 |
| CNTS: Cooperative Network for Time Series | Feb 20, 2023 | Anomaly DetectionTime Series | CodeCode Available | 0 |
| Adaptive Law-Based Transformation (ALT): A Lightweight Feature Representation for Time Series Classification | Jan 16, 2025 | Time SeriesTime Series Classification | CodeCode Available | 0 |
| Accurate Characterization of Non-Uniformly Sampled Time Series using Stochastic Differential Equations | Jul 2, 2020 | Bayesian OptimizationCompressive Sensing | CodeCode Available | 0 |
| Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection | Apr 10, 2024 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 |
| RESTAD: REconstruction and Similarity based Transformer for time series Anomaly Detection | May 13, 2024 | Anomaly DetectionTime Series | CodeCode Available | 0 |
| Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization | Sep 21, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection | Feb 8, 2025 | Anomaly DetectionComputational Efficiency | CodeCode Available | 0 |
| Federated Learning for Time-Series Healthcare Sensing with Incomplete Modalities | May 20, 2024 | Computational EfficiencyFederated Learning | CodeCode Available | 0 |
| Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs | Jun 2, 2023 | Federated LearningTime Series | CodeCode Available | 0 |
| A projected nonlinear state-space model for forecasting time series signals | Nov 22, 2023 | BenchmarkingComputational Efficiency | CodeCode Available | 0 |
| Reservoir computing approaches for representation and classification of multivariate time series | Mar 21, 2018 | Dimensionality ReductionGeneral Classification | CodeCode Available | 0 |
| Clustering Noisy Signals with Structured Sparsity Using Time-Frequency Representation | Oct 18, 2015 | ClusteringDimensionality Reduction | CodeCode Available | 0 |
| [Re] Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention | Dec 6, 2020 | General ClassificationTime Series | CodeCode Available | 0 |
| Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization | Oct 24, 2016 | Dimensionality ReductionGeneral Classification | CodeCode Available | 0 |
| Feature space approximation for kernel-based supervised learning | Nov 25, 2020 | regressionTime Series | CodeCode Available | 0 |
| Clustering Market Regimes using the Wasserstein Distance | Oct 22, 2021 | ClusteringTime Series | CodeCode Available | 0 |
| A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series | Jul 15, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Representation Learning of Daily Movement Data Using Text Encoders | May 7, 2024 | ClusteringLanguage Modeling | CodeCode Available | 0 |