| A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study | Mar 19, 2023 | Mortality PredictionSurvival Analysis | —Unverified | 0 |
| Accelerating Neural ODEs Using Model Order Reduction | May 28, 2021 | modelTime Series | —Unverified | 0 |
| Deep Reinforcement Learning for Asset Allocation in US Equities | Oct 9, 2020 | Deep Reinforcement LearningManagement | —Unverified | 0 |
| Change-Point Testing for Risk Measures in Time Series | Sep 7, 2018 | Time Series | —Unverified | 0 |
| Change points detection in crime-related time series: an on-line fuzzy approach based on a shape space representation | Dec 18, 2023 | Change Point DetectionEconometrics | —Unverified | 0 |
| A Periodicity-based Parallel Time Series Prediction Algorithm in Cloud Computing Environments | Oct 17, 2018 | Cloud ComputingData Compression | —Unverified | 0 |
| A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers | May 29, 2020 | BIG-bench Machine LearningTime Series | —Unverified | 0 |
| A Hybrid Approach on Conditional GAN for Portfolio Analysis | Jul 13, 2022 | Generative Adversarial NetworkTime Series | —Unverified | 0 |
| Deep Recurrent Neural Networks for Time Series Prediction | Jul 22, 2014 | PredictionTime Series | —Unverified | 0 |
| Change Point Detection via Multivariate Singular Spectrum Analysis | Dec 1, 2021 | Change Point DetectionTime Series | —Unverified | 0 |
| Change-Point Detection in Time Series Using Mixed Integer Programming | Aug 11, 2024 | Change Point Detectionregression | —Unverified | 0 |
| A Pattern Discovery Approach to Multivariate Time Series Forecasting | Dec 20, 2022 | DiversityMultivariate Time Series Forecasting | —Unverified | 0 |
| A Parsimonious Setup for Streamflow Forecasting using CNN-LSTM | Apr 11, 2024 | Time Series | —Unverified | 0 |
| A Hybrid Approach for Smart Alert Generation | Jun 2, 2023 | Anomaly DetectionFeature Engineering | —Unverified | 0 |
| Adaptive Classification of Interval-Valued Time Series | Apr 4, 2025 | ClassificationEconometrics | —Unverified | 0 |
| Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems | Oct 28, 2024 | Time SeriesTime Series Prediction | —Unverified | 0 |
| Deep Reinforcement Learning for Trading | Nov 22, 2019 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Deep State Space Recurrent Neural Networks for Time Series Forecasting | Jul 21, 2024 | Kolmogorov-Arnold NetworksState Space Models | —Unverified | 0 |
| Log-PDE Methods for Rough Signature Kernels | Apr 1, 2024 | Time SeriesTime Series Analysis | —Unverified | 0 |
| A parsimonious, computationally efficient machine learning method for spatial regression | Sep 28, 2023 | Computational Efficiencyregression | —Unverified | 0 |
| Quantile Convolutional Neural Networks for Value at Risk Forecasting | Aug 21, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees | Mar 8, 2022 | Change Point DetectionTime Series | —Unverified | 0 |
| Changepoint Analysis of Topic Proportions in Temporal Text Data | Nov 29, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Aortic Pressure Forecasting with Deep Sequence Learning | May 12, 2020 | PrognosisTime Series | —Unverified | 0 |
| Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach | Jun 6, 2016 | Metric LearningPerson Re-Identification | —Unverified | 0 |