| Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting B Lim, SO Arik, N Loeff, T Pfister International Journal of Forecasting, 2021 | 1830 | 2021 |
| Time-series forecasting with deep learning: a survey B Lim, S Zohren Philosophical Transactions of the Royal Society A 379 (2194), 20200209, 2021 | 1565 | 2021 |
| Forecasting treatment responses over time using recurrent marginal structural networks B Lim, A Alaa, M van der Schaar Advances in Neural Information Processing Systems, 2018 | 173 | 2018 |
| Enhancing Time Series Momentum Strategies Using Deep Neural Networks B Lim, S Zohren, S Roberts Journal of Financial Data Science, 2019 | 115 | 2019 |
| Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction B Lim, S Zohren, S Roberts International Joint Conference on Neural Networks (IJCNN), 2020 | 71 | 2020 |
| Disease-atlas: Navigating disease trajectories with deep learning B Lim, M van der Schaar Machine Learning for Healthcare (MLHC), 2018 | 54* | 2018 |
| Deep learning for market by order data Z Zhang, B Lim, S Zohren Applied Mathematical Finance 28 (1), 79-95, 2021 | 35 | 2021 |
| Building Cross-Sectional Systematic Strategies By Learning to Rank D Poh, B Lim, S Zohren, S Roberts Journal of Financial Data Science, 2021 | 29 | 2021 |
| Forecasting Disease Trajectories in Alzheimer's Disease Using Deep Learning B Lim, M van der Schaar KDD Workshop on Machine Learning for Medicine and Healthcare, 2018 | 9 | 2018 |
| Detecting Changes in Asset Co-Movement Using the Autoencoder Reconstruction Ratio B Lim, S Zohren, S Roberts Risk, 2020 | 4 | 2020 |
| Population-based Global Optimisation Methods for Learning Long-term Dependencies with RNNs B Lim, S Zohren, S Roberts ICML Time Series Workshop, 2019 | 3 | 2019 |
| Deep learning for time series prediction and decision making over time B Lim University of Oxford, 2020 | 2 | 2020 |
| Enhancing Cross-Sectional Currency Strategies by Ranking Refinement with Transformer-based Architectures. D Poh, B Lim, S Zohren, S Roberts arXiv preprint arXiv:2105.10019, 2021 | 1 | 2021 |
| FORECASTING CLINICAL TRAJECTORIES IN CYSTIC FIBROSIS USING DEEP LEARNING B Lim, TW Daniels, RA Floto, M van der Schaar PEDIATRIC PULMONOLOGY 53, 262-262, 2018 | | 2018 |
Stefan ZohrenUniversity of OxfordPotvrđena adresa e-pošte na eng.ox.ac.uk