| From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations | Mar 15, 2024 | Anomaly DetectionDecoder | CodeCode Available | 0 |
| Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions | Jun 20, 2020 | Decision MakingSequential Decision Making | CodeCode Available | 0 |
| Concept-based model explanations for Electronic Health Records | Dec 3, 2020 | modelTime Series | CodeCode Available | 0 |
| Sketches for Time-Dependent Machine Learning | Aug 26, 2021 | BIG-bench Machine LearningTime Series | CodeCode Available | 0 |
| A deep convolutional neural network that is invariant to time rescaling | Jul 9, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Sinkhorn Divergence of Topological Signature Estimates for Time Series Classification | Feb 14, 2019 | ClassificationFault Detection | CodeCode Available | 0 |
| AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties | Oct 31, 2024 | Anomaly Detectioncounterfactual | CodeCode Available | 0 |
| Simultaneous Inference Bands for Autocorrelations | Mar 24, 2025 | regressionTime Series | CodeCode Available | 0 |
| Simultaneous identification of models and parameters of scientific simulators | May 24, 2023 | Bayesian InferenceTime Series | CodeCode Available | 0 |
| Simplified Mamba with Disentangled Dependency Encoding for Long-Term Time Series Forecasting | Aug 22, 2024 | MambaTime Series | CodeCode Available | 0 |
| Fi^2VTS: Time Series Forecasting Via Capturing Intra- and Inter-Variable Variations in the Frequency Domain | Jul 31, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
| Similarity measure for sparse time course data based on Gaussian processes | Feb 24, 2021 | ClusteringGaussian Processes | CodeCode Available | 0 |
| Framework for Variable-lag Motif Following Relation Inference In Time Series using Matrix Profile analysis | Jan 5, 2024 | RelationTime Series | CodeCode Available | 0 |
| Similarity-based Feature Extraction for Large-scale Sparse Traffic Forecasting | Nov 13, 2022 | Graph Neural NetworkTime Series | CodeCode Available | 0 |
| A clustering approach to time series forecasting using neural networks: A comparative study on distance-based vs. feature-based clustering methods | Jan 27, 2020 | Anomaly DetectionClustering | CodeCode Available | 0 |
| Compositional simulation-based inference for time series | Nov 5, 2024 | Bayesian InferenceEpidemiology | CodeCode Available | 0 |
| A machine learning framework for computationally expensive transient models | Jul 12, 2019 | BIG-bench Machine LearningTime Series | CodeCode Available | 0 |
| Signature-based models: theory and calibration | Jul 26, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| FPN-fusion: Enhanced Linear Complexity Time Series Forecasting Model | Jun 6, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
| Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features | Dec 1, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| SigDiffusions: Score-Based Diffusion Models for Long Time Series via Log-Signature Embeddings | Jun 14, 2024 | Time SeriesTime Series Generation | CodeCode Available | 0 |
| SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States | Jun 7, 2023 | Dictionary LearningTime Series | CodeCode Available | 0 |
| SiamTST: A Novel Representation Learning Framework for Enhanced Multivariate Time Series Forecasting applied to Telco Networks | Jul 2, 2024 | Multivariate Time Series ForecastingRepresentation Learning | CodeCode Available | 0 |
| Sequence Prediction using Spectral RNNs | Dec 13, 2018 | PredictionTime Series | CodeCode Available | 0 |
| Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series Forecasting | Jul 2, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
| Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features | Jun 10, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| Short-term daily precipitation forecasting with seasonally-integrated autoencoder | Jan 23, 2021 | ManagementPrecipitation Forecasting | CodeCode Available | 0 |
| ShortFuse: Biomedical Time Series Representations in the Presence of Structured Information | May 13, 2017 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning | May 31, 2024 | Federated LearningNavigate | CodeCode Available | 0 |
| Shapelet-Based Counterfactual Explanations for Multivariate Time Series | Aug 22, 2022 | counterfactualCounterfactual Explanation | CodeCode Available | 0 |
| ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification | May 23, 2024 | ClassificationTime Series | CodeCode Available | 0 |
| shapeDTW: shape Dynamic Time Warping | Jun 6, 2016 | Dynamic Time WarpingTemporal Sequences | CodeCode Available | 0 |
| ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging | Sep 28, 2023 | ClusteringDynamic Time Warping | CodeCode Available | 0 |
| Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series | Dec 8, 2023 | Placenta SegmentationSegmentation | CodeCode Available | 0 |
| Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices | Dec 1, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 |
| SFADNet: Spatio-temporal Fused Graph based on Attention Decoupling Network for Traffic Prediction | Jan 7, 2025 | ManagementPrediction | CodeCode Available | 0 |
| Set Functions for Time Series | Sep 26, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Complex Gated Recurrent Neural Networks | Jun 21, 2018 | Human motion predictionmotion prediction | CodeCode Available | 0 |
| Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers | May 28, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
| Accurate Uncertainties for Deep Learning Using Calibrated Regression | Jul 1, 2018 | Deep LearningModel-based Reinforcement Learning | CodeCode Available | 0 |
| SERT: A Transfomer Based Model for Spatio-Temporal Sensor Data with Missing Values for Environmental Monitoring | Jun 5, 2023 | ImputationMissing Values | CodeCode Available | 0 |
| Sequential Order-Robust Mamba for Time Series Forecasting | Oct 30, 2024 | MambaTime Series | CodeCode Available | 0 |
| Forecasting with Multiple Seasonality | Aug 27, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Sequential Modeling of Complex Marine Navigation: Case Study on a Passenger Vessel (Student Abstract) | Mar 20, 2024 | Decision MakingTime Series | CodeCode Available | 0 |
| Sequential Gaussian Processes for Online Learning of Nonstationary Functions | May 24, 2019 | Gaussian ProcessesHyperparameter Optimization | CodeCode Available | 0 |
| SeqNAS: Neural Architecture Search for Event Sequence Classification | Jan 6, 2024 | Bayesian OptimizationClassification | CodeCode Available | 0 |
| Data-driven approach in a compartmental epidemic model to assess undocumented infections | Jan 10, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Sentinel 2 Time Series Analysis with 3D Feature Pyramid Network and Time Domain Class Activation Intervals for Crop Mapping | Oct 7, 2021 | Semantic SegmentationTime Series | CodeCode Available | 0 |
| Forecasting time series with constraints | Feb 14, 2025 | Additive modelsBenchmarking | CodeCode Available | 0 |
| Sensorformer: Cross-patch attention with global-patch compression is effective for high-dimensional multivariate time series forecasting | Jan 6, 2025 | AttributeMultivariate Time Series Forecasting | CodeCode Available | 0 |