| Deep Stock Predictions | Jun 8, 2020 | Portfolio OptimizationPrediction | CodeCode Available | 1 | 5 |
| Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers | May 22, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Dimensionality reduction to maximize prediction generalization capability | Mar 1, 2020 | Dimensionality ReductionPrediction | CodeCode Available | 1 | 5 |
| Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting | Jul 6, 2020 | Graph GenerationGraph Neural Network | CodeCode Available | 1 | 5 |
| Multi-step-ahead Stock Price Prediction Using Recurrent Fuzzy Neural Network and Variational Mode Decomposition | Dec 24, 2022 | PredictionStock Price Prediction | CodeCode Available | 1 | 5 |
| Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting | Dec 14, 2023 | ManagementRepresentation Learning | CodeCode Available | 1 | 5 |
| An Evaluation of Deep Learning Models for Stock Market Trend Prediction | Aug 22, 2024 | DenoisingTime Series | CodeCode Available | 1 | 5 |
| Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning | Jun 23, 2020 | Knowledge GraphsMulti-Task Learning | CodeCode Available | 1 | 5 |
| Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks | Dec 1, 2019 | Sequential Image ClassificationTime Series | CodeCode Available | 1 | 5 |
| From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction | Apr 1, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Financial time series forecasting with multi-modality graph neural network | Jan 1, 2022 | Graph Neural NetworkTime Series | CodeCode Available | 1 | 5 |
| Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty Quantification | May 28, 2021 | EpidemiologyTime Series | CodeCode Available | 1 | 5 |
| Bayesian Neural Architecture Search using A Training-Free Performance Metric | Jan 29, 2020 | Bayesian OptimizationNeural Architecture Search | CodeCode Available | 1 | 5 |
| SIGMA: Selective Gated Mamba for Sequential Recommendation | Aug 21, 2024 | MambaRecommendation Systems | CodeCode Available | 1 | 5 |
| AA-Forecast: Anomaly-Aware Forecast for Extreme Events | Aug 21, 2022 | Anomaly ForecastingMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| IMTS is Worth Time Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction | May 28, 2025 | Missing ValuesSelf-Supervised Learning | CodeCode Available | 1 | 5 |
| Evaluation of deep learning models for multi-step ahead time series prediction | Mar 26, 2021 | DecoderDeep Learning | CodeCode Available | 1 | 5 |
| AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly | May 22, 2021 | Bayesian OptimisationBayesian Optimization | CodeCode Available | 1 | 5 |
| Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks | Oct 23, 2023 | Irregular Time SeriesTime Series | CodeCode Available | 1 | 5 |
| A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19 | Mar 8, 2022 | Correlated Time Series ForecastingCOVID-19 Modelling | CodeCode Available | 1 | 5 |
| CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting | Jun 8, 2024 | AttributeMamba | CodeCode Available | 1 | 5 |
| A Review of Graph Neural Networks and Their Applications in Power Systems | Jan 25, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Conformal PID Control for Time Series Prediction | Jul 31, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 | 5 |
| DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting | May 26, 2020 | Graph Neural NetworkHuman motion prediction | CodeCode Available | 1 | 5 |
| Error-quantified Conformal Inference for Time Series | Feb 2, 2025 | PredictionTime Series | CodeCode Available | 1 | 5 |
