| Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series | Jan 24, 2022 | Missing LabelsRetrieval | —Unverified | 0 | 0 |
| Ordinal Synchronization: Using ordinal patterns to capture interdependencies between time series | Sep 19, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Ordinal time series analysis with the R package otsfeatures | Apr 24, 2023 | ClusteringOutlier Detection | —Unverified | 0 | 0 |
| Orthogonal Echo State Networks and stochastic evaluations of likelihoods | Jan 22, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Learning Individualized Cardiovascular Responses from Large-scale Wearable Sensors Data | Dec 4, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Oscillations enhance time-series prediction in reservoir computing with feedback | Jun 5, 2024 | Time SeriesTime Series Prediction | —Unverified | 0 | 0 |
| Learning Hidden Patterns from Patient Multivariate Time Series Data Using Convolutional Neural Networks: A Case Study of Healthcare Cost Prediction | Sep 14, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Otimizacao de pesos e funcoes de ativacao de redes neurais aplicadas na previsao de series temporais | Jul 29, 2021 | global-optimizationTime Series | —Unverified | 0 | 0 |
| OTW: Optimal Transport Warping for Time Series | Jun 1, 2023 | ClusteringDeep Learning | —Unverified | 0 | 0 |
| Outliagnostics: Visualizing Temporal Discrepancy in Outlying Signatures of Data Entries | Oct 30, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Outlier Detection as Instance Selection Method for Feature Selection in Time Series Classification | Nov 16, 2021 | feature selectionOutlier Detection | —Unverified | 0 | 0 |
| Deep Probabilistic Koopman: Long-term time-series forecasting under periodic uncertainties | Jun 10, 2021 | Demand ForecastingDiversity | —Unverified | 0 | 0 |
| Deep Poisson gamma dynamical systems | Oct 26, 2018 | Data AugmentationTime Series | —Unverified | 0 | 0 |
| An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series | Aug 16, 2024 | counterfactualTime Series | —Unverified | 0 | 0 |
| Advancing Long-Term Multi-Energy Load Forecasting with Patchformer: A Patch and Transformer-Based Approach | Apr 16, 2024 | DecoderLoad Forecasting | —Unverified | 0 | 0 |
| Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series | Jun 27, 2016 | Dimensionality ReductionGaze Estimation | —Unverified | 0 | 0 |
| Overcoming limited battery data challenges: A coupled neural network approach | Oct 5, 2021 | Data AugmentationTime Series | —Unverified | 0 | 0 |
| Overlapping Batch Confidence Intervals on Statistical Functionals Constructed from Time Series: Application to Quantiles, Optimization, and Estimation | Jul 17, 2023 | parameter estimationTime Series | —Unverified | 0 | 0 |
| Learning Hidden Markov Models Using Conditional Samples | Feb 28, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Learning Heteroscedastic Models by Convex Programming under Group Sparsity | Apr 16, 2013 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Learning Hamiltonian Dynamics with Bayesian Data Assimilation | Jan 31, 2025 | PredictionTime Series | —Unverified | 0 | 0 |
| Learning Hamiltonian dynamics by reservoir computer | Apr 24, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors | Nov 26, 2021 | Model SelectionTime Series | —Unverified | 0 | 0 |
| Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting | Jul 2, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 | 0 |
| Learning Generalized Causal Structure in Time-series | Dec 6, 2021 | BIG-bench Machine LearningTime Series | —Unverified | 0 | 0 |