| Machine Learning Link Inference of Noisy Delay-coupled Networks with Opto-Electronic Experimental Tests | Oct 29, 2020 | BIG-bench Machine LearningTime Series | —Unverified | 0 | 0 |
| Linear-time online visibility graph transformation algorithm: for both natural and horizontal visibility criteria | Nov 21, 2023 | Computational EfficiencyTime Series | —Unverified | 0 | 0 |
| Model Selection in Time Series Analysis: Using Information Criteria as an Alternative to Hypothesis Testing | May 23, 2018 | Model SelectionRelation | —Unverified | 0 | 0 |
| Linear-time Detection of Non-linear Changes in Massively High Dimensional Time Series | Oct 28, 2015 | Change DetectionTime Series | —Unverified | 0 | 0 |
| Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Prediction | Oct 31, 2023 | Time SeriesTime Series Prediction | —Unverified | 0 | 0 |
| Bayesian Dynamic Factor Models for High-dimensional Matrix-valued Time Series | Sep 12, 2024 | Time Series | —Unverified | 0 | 0 |
| Linear Regression with Weak Exogeneity | Aug 17, 2023 | regressionTime Series | —Unverified | 0 | 0 |
| Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective | May 10, 2018 | Density EstimationTime Series | —Unverified | 0 | 0 |
| Modified Computation of Correlation Integral for Analyzing Epileptic Signals | Dec 12, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Modifying memories in a Recurrent Neural Network Unit | Jan 1, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Modifying the Symbolic Aggregate Approximation Method to Capture Segment Trend Information | Oct 2, 2020 | Dimensionality ReductionTime Series | —Unverified | 0 | 0 |
| Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series | Apr 21, 2019 | Gaussian Processesregression | —Unverified | 0 | 0 |
| Linear, Machine Learning and Probabilistic Approaches for Time Series Analysis | Feb 26, 2017 | Bayesian InferenceBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Dense Bag-of-Temporal-SIFT-Words for Time Series Classification | Jan 8, 2016 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior | Oct 22, 2022 | Inductive BiasTime Series | —Unverified | 0 | 0 |
| Molecular Dynamics of Polymer-lipids in Solution from Supervised Machine Learning | Mar 1, 2022 | BIG-bench Machine LearningTime Series | —Unverified | 0 | 0 |
| An Evaluation of Classification and Outlier Detection Algorithms | May 2, 2018 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| Linear Credit Risk Models | May 24, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Denoising Time Series Data Using Asymmetric Generative Adversarial Networks | Jun 17, 2018 | DenoisingEEG | —Unverified | 0 | 0 |
| LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for Forecasting, with an Application to Electricity Smart Meter Data | Feb 15, 2022 | counterfactualDecision Making | —Unverified | 0 | 0 |
| Monitoring multicountry macroeconomic risk | May 16, 2023 | Time Series | —Unverified | 0 | 0 |
| Monitoring the Dynamic Networks of Stock Returns | Oct 29, 2022 | ClusteringTime Series | —Unverified | 0 | 0 |
| Monitoring the Economy in Real Time: Trends and Gaps in Real Activity and Prices | Jan 14, 2022 | Time Series | —Unverified | 0 | 0 |
| Denoising of Geodetic Time Series Using Spatiotemporal Graph Neural Networks: Application to Slow Slip Event Extraction | May 6, 2024 | DenoisingEvent Extraction | —Unverified | 0 | 0 |
| Bayesian Bilinear Neural Network for Predicting the Mid-price Dynamics in Limit-Order Book Markets | Mar 7, 2022 | EconometricsTime Series | —Unverified | 0 | 0 |