| Deep Q-network using reservoir computing with multi-layered readout | Mar 3, 2022 | Reinforcement Learning (RL)Time Series | —Unverified | 0 | 0 |
| An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution | Sep 20, 2019 | Neural Architecture SearchTime Series | —Unverified | 0 | 0 |
| Optimization of IoT-Enabled Physical Location Monitoring Using DT and VAR | Apr 10, 2022 | Face RecognitionTime Series | —Unverified | 0 | 0 |
| Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data | Oct 7, 2024 | Time SeriesTransfer Learning | —Unverified | 0 | 0 |
| Optimizing a Bayesian method for estimating the Hurst exponent in behavioral sciences | Jan 28, 2023 | Computational EfficiencyTime Series | —Unverified | 0 | 0 |
| Optimizing and Contrasting Recurrent Neural Network Architectures | Oct 16, 2015 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series | Jan 25, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting | Jan 31, 2021 | Decision MakingManagement | —Unverified | 0 | 0 |
| Optimizing Medication Decisions for Patients with Atrial Fibrillation through Path Development Network | Jan 18, 2024 | SpecificityTime Series | —Unverified | 0 | 0 |
| DeepQC: A Deep Learning System for Automatic Quality Control of In-situ Soil Moisture Sensor Time Series Data | Nov 12, 2023 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| Optimizing Returns Using the Hurst Exponent and Q Learning on Momentum and Mean Reversion Strategies | May 23, 2022 | Q-LearningTime Series | —Unverified | 0 | 0 |
| Optimizing Sales Forecasts through Automated Integration of Market Indicators | May 15, 2024 | feature selectionTime Series | —Unverified | 0 | 0 |
| Optimizing the Union of Intersections LASSO (UoI_LASSO) and Vector Autoregressive (UoI_VAR) Algorithms for Improved Statistical Estimation at Scale | Aug 21, 2018 | feature selectionModel Selection | —Unverified | 0 | 0 |
| Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach | Jun 7, 2024 | Neural Architecture SearchTime Series | —Unverified | 0 | 0 |
| Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems | Jun 3, 2021 | DecoderManagement | —Unverified | 0 | 0 |
| Learning in Feedforward Neural Networks Accelerated by Transfer Entropy | Apr 29, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Optimizing VarLiNGAM for Scalable and Efficient Time Series Causal Discovery | Sep 9, 2024 | Causal DiscoveryGPU | —Unverified | 0 | 0 |
| OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data | Jun 16, 2025 | Change Point DetectionSelf-Supervised Learning | —Unverified | 0 | 0 |
| Learning Individualized Cardiovascular Responses from Large-scale Wearable Sensors Data | Dec 4, 2018 | Time SeriesTime Series Analysis | —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 |
| 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 |
| Order flow in the financial markets from the perspective of the Fractional Lévy stable motion | May 5, 2021 | Model SelectionTime 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 |