| NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines | May 9, 2025 | PredictionTime Series | CodeCode Available | 0 |
| Empirical likelihood approach for high-dimensional moment restrictions with dependent data | Feb 26, 2025 | Dimensionality ReductionTime Series | CodeCode Available | 0 |
| EMIT- Event-Based Masked Auto Encoding for Irregular Time Series | Sep 25, 2024 | Decision MakingIrregular Time Series | CodeCode Available | 0 |
| Nowcasting Networks | Nov 27, 2020 | Outlier DetectionTime Series | CodeCode Available | 0 |
| Embracing the black box: Heading towards foundation models for causal discovery from time series data | Feb 14, 2024 | Causal DiscoveryTime Series | CodeCode Available | 0 |
| Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care | Feb 14, 2018 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Impacts of electric carsharing on a power sector with variable renewables | Feb 29, 2024 | Time Series | CodeCode Available | 0 |
| Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning | Oct 1, 2023 | Deep Learningfeature selection | CodeCode Available | 0 |
| MASA: Motif-Aware State Assignment in Noisy Time Series Data | Sep 6, 2018 | ClusteringTime Series | CodeCode Available | 0 |
| A novel approach to rating transition modelling via Machine Learning and SDEs on Lie groups | May 31, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting | Jul 17, 2024 | AllTime Series | CodeCode Available | 0 |
| Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification | Nov 3, 2022 | Contrastive Learningparameter estimation | CodeCode Available | 0 |
| Non-Stationary Spectral Kernels | May 24, 2017 | regressionTime Series | CodeCode Available | 0 |
| Electricity Spot Prices Forecasting Using Stochastic Volatility Models | Jun 9, 2024 | Bayesian InferenceTime Series | CodeCode Available | 0 |
| Elastic Similarity and Distance Measures for Multivariate Time Series | Feb 20, 2021 | ClassificationDynamic Time Warping | CodeCode Available | 0 |
| Nonparametric Value-at-Risk via Sieve Estimation | May 14, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Elastic Product Quantization for Time Series | Jan 4, 2022 | QuantizationTime Series | CodeCode Available | 0 |
| Elastic bands across the path: A new framework and methods to lower bound DTW | Aug 29, 2018 | ClusteringDynamic Time Warping | CodeCode Available | 0 |
| Non-parametric Estimation of Stochastic Differential Equations with Sparse Gaussian Processes | Apr 14, 2017 | Gaussian ProcessesTime Series | CodeCode Available | 0 |
| EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables | Aug 3, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Capturing Structure Implicitly from Time-Series having Limited Data | Mar 15, 2018 | scientific discoverySmall Data Image Classification | CodeCode Available | 0 |
| Capturing Chronology and Extreme Values of Representative Days for Planning of Transmission Lines and Long-Term Energy Storage Systems | Oct 6, 2023 | Time Series | CodeCode Available | 0 |
| Nonlinear Time Series Classification Using Bispectrum-based Deep Convolutional Neural Networks | Mar 4, 2020 | General ClassificationTime Series | CodeCode Available | 0 |
| Nonlinear methods to quantify Movement Variability in Human-Humanoid Interaction Activities | Oct 17, 2018 | DiagnosticTime Series | CodeCode Available | 0 |
| Nonlinear Independent Component Analysis for Discrete-Time and Continuous-Time Signals | Feb 4, 2021 | blind source separationContrastive Learning | CodeCode Available | 0 |