| CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables | Mar 4, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series Forecasting | Dec 27, 2023 | Multivariate Time Series ForecastingTime 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 |
| LTBoost: Boosted Hybrids of Ensemble Linear and Gradient Algorithms for the Long-term Time Series Forecasting | Oct 21, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series | Jan 23, 2023 | Emotion ClassificationMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| A Memory-Network Based Solution for Multivariate Time-Series Forecasting | Sep 6, 2018 | Multivariate Time Series ForecastingQuestion Answering | CodeCode Available | 0 | 5 |
| BRITS: Bidirectional Recurrent Imputation for Time Series | May 27, 2018 | General ClassificationImputation | CodeCode Available | 0 | 5 |
| Revealing the Power of Masked Autoencoders in Traffic Forecasting | Sep 26, 2023 | DecoderMultivariate Time Series Forecasting | CodeCode Available | 0 | 5 |
| Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning | Oct 1, 2023 | Deep Learningfeature selection | CodeCode Available | 0 | 5 |
| EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions | Dec 16, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 0 | 5 |
