| ORBITS: Online Recovery of Missing Blocks in Multiple Time Series Streams | Nov 1, 2020 | ImputationMultivariate Time Series Imputation | CodeCode Available | 0 |
| Learning orbital dynamics of binary black hole systems from gravitational wave measurements | Feb 25, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Option Pricing and Hedging for Discrete Time Autoregressive Hidden Markov Model | Jul 7, 2017 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Optimizing Time Series Forecasting: A Comparative Study of Adam and Nesterov Accelerated Gradient on LSTM and GRU networks Using Stock Market data | Sep 28, 2024 | PredictionTime Series | CodeCode Available | 0 |
| Ensemble transport smoothing. Part I: Unified framework | Oct 31, 2022 | Bayesian InferenceComputational Efficiency | CodeCode Available | 0 |
| ARMA-Design: Optimal Treatment Allocation Strategies for A/B Testing in Partially Observable Time Series Experiments | Aug 9, 2024 | Time Series | CodeCode Available | 0 |
| Ensembles of Randomized Time Series Shapelets Provide Improved Accuracy while Reducing Computational Costs | Feb 22, 2017 | ClassificationDiversity | CodeCode Available | 0 |
| Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming | May 16, 2017 | ClassificationDiversity | CodeCode Available | 0 |
| Optimal Transport and Adaptive Thresholding for Universal Domain Adaptation on Time Series | Mar 14, 2025 | Domain AdaptationTime Series | CodeCode Available | 0 |
| Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach | Apr 9, 2023 | ManagementTime Series | CodeCode Available | 0 |
| Optimal starting point for time series forecasting | Sep 25, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
| Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman Filter | Oct 17, 2020 | DiversityState Space Models | CodeCode Available | 0 |
| Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration Data | Aug 6, 2021 | Data AugmentationGenerative Adversarial Network | CodeCode Available | 0 |
| Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized Models | Jan 27, 2025 | Arrhythmia DetectionConformal Prediction | CodeCode Available | 0 |
| Optimal activity and battery scheduling algorithm using load and solar generation forecast | Dec 6, 2021 | Missing ValuesScheduling | CodeCode Available | 0 |
| Opinion Prediction with User Fingerprinting | Jul 31, 2021 | PredictionSentiment Analysis | CodeCode Available | 0 |
| Enhancing Time Series Momentum Strategies Using Deep Neural Networks | Apr 9, 2019 | PositionTime Series | CodeCode Available | 0 |
| Enhancing Time Series Forecasting with Fuzzy Attention-Integrated Transformers | Mar 31, 2025 | Anomaly DetectionDecision Making | CodeCode Available | 0 |
| Bayesian nonparametric discontinuity design | Nov 15, 2019 | Causal InferenceExperimental Design | CodeCode Available | 0 |
| Agglomerative Likelihood Clustering | Aug 2, 2019 | ClusteringCommunity Detection | CodeCode Available | 0 |
| Accelerating Neural Architecture Search using Performance Prediction | May 30, 2017 | Hyperparameter OptimizationLanguage Modeling | CodeCode Available | 0 |
| TimeWak: Temporal Chained-Hashing Watermark for Time Series Data | Jun 6, 2025 | Time Series | CodeCode Available | 0 |
| Time-Series Event Prediction with Evolutionary State Graph | May 10, 2019 | Graph Neural NetworkPrediction | CodeCode Available | 0 |
| Automatic alignment of surgical videos using kinematic data | Apr 3, 2019 | Dynamic Time WarpingTime Series | CodeCode Available | 0 |
| Open-domain Event Extraction and Embedding for Natural Gas Market Prediction | Dec 8, 2019 | Event ExtractionSentence | CodeCode Available | 0 |
| On the use of Graphs for Satellite Image Time Series | May 22, 2025 | Time Series | CodeCode Available | 0 |
| Enhancing Solar Driver Forecasting with Multivariate Transformers | Jun 22, 2024 | Time Series | CodeCode Available | 0 |
| Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference | Jun 21, 2024 | PredictionPrediction Intervals | CodeCode Available | 0 |
| On the Soundness of XAI in Prognostics and Health Management (PHM) | Apr 24, 2023 | Explainable Artificial Intelligence (XAI)Management | CodeCode Available | 0 |
| On the Soundness of XAI in Prognostics and Health Management (PHM) | Mar 9, 2023 | Explainable Artificial Intelligence (XAI)Management | CodeCode Available | 0 |
| On the separation of shape and temporal patterns in time series -Application to signature authentication- | Nov 21, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| On the Reconstruction Risk of Convolutional Sparse Dictionary Learning | Aug 29, 2017 | Dictionary LearningTime Series | CodeCode Available | 0 |
| On the Quality of Deep Representations for Kepler Light Curves Using Variational Auto-Encoders | Oct 14, 2021 | AstronomyDisentanglement | CodeCode Available | 0 |
| Enhancing Multivariate Time Series-based Solar Flare Prediction with Multifaceted Preprocessing and Contrastive Learning | Sep 21, 2024 | Contrastive Learningfeature selection | CodeCode Available | 0 |
| Causal Effect Estimation on Hierarchical Spatial Graph Data | Aug 6, 2023 | Causal InferenceTime Series | CodeCode Available | 0 |
| On the Metrics and Adaptation Methods for Domain Divergences of sEMG-based Gesture Recognition | Dec 18, 2019 | Domain AdaptationGesture Recognition | CodeCode Available | 0 |
| Enhancing Missing Data Imputation of Non-stationary Signals with Harmonic Decomposition | Sep 8, 2023 | ImputationMissing Values | CodeCode Available | 0 |
| Enhancing Masked Time-Series Modeling via Dropping Patches | Dec 19, 2024 | Cross-Domain Few-Shotcross-domain few-shot learning | CodeCode Available | 0 |
| Causal Discovery with Attention-Based Convolutional Neural Networks | Jan 7, 2019 | Causal DiscoveryDecision Making | CodeCode Available | 0 |
| On the importance of structural identifiability for machine learning with partially observed dynamical systems | Feb 6, 2025 | Time SeriesTime Series Classification | CodeCode Available | 0 |
| On the Identifiability of Switching Dynamical Systems | May 25, 2023 | Causal DiscoveryTime Series | CodeCode Available | 0 |
| Online Data Augmentation for Forecasting with Deep Learning | Apr 25, 2024 | Data AugmentationDeep Learning | CodeCode Available | 0 |
| On the Feasibility of Vision-Language Models for Time-Series Classification | Dec 23, 2024 | Time SeriesTime Series Classification | CodeCode Available | 0 |
| Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-Series | Nov 3, 2024 | Data IntegrationFeature Engineering | CodeCode Available | 0 |
| Causal Discovery using Model Invariance through Knockoff Interventions | Jul 8, 2022 | Causal Discoverymodel | CodeCode Available | 0 |
| Probabilistic Traffic Forecasting with Dynamic Regression | Jan 17, 2023 | regressionTime Series | CodeCode Available | 0 |
| Enhancing crop segmentation in satellite image time-series with transformer networks | Apr 3, 2024 | SegmentationSemantic Segmentation | CodeCode Available | 0 |
| Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks | Aug 15, 2024 | Causal DiscoveryTime Series | CodeCode Available | 0 |
| A Novel Hyperdimensional Computing Framework for Online Time Series Forecasting on the Edge | Feb 3, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
| On projection methods for functional time series forecasting | May 10, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 |