| Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs C Esteban, SL Hyland, G Rätsch arXiv preprint arXiv:1706.02633, 2017 | 878 | 2017 |
| Early prediction of circulatory failure in the intensive care unit using machine learning SL Hyland, M Faltys, M Hüser, X Lyu, T Gumbsch, C Esteban, C Bock, ... Nature Medicine 26 (3), 364-373, 2020 | 321 | 2020 |
| Predicting clinical events by combining static and dynamic information using recurrent neural networks C Esteban, O Staeck, S Baier, Y Yang, V Tresp 2016 IEEE International Conference on Healthcare Informatics (ICHI), 93-101, 2016 | 192 | 2016 |
| Predicting sequences of clinical events by using a personalized temporal latent embedding model C Esteban, D Schmidt, D Krompaß, V Tresp 2015 International Conference on Healthcare Informatics, 130-139, 2015 | 56 | 2015 |
| Predicting the co-evolution of event and knowledge graphs C Esteban, V Tresp, Y Yang, S Baier, D Krompaß 2016 19th International Conference on Information Fusion (FUSION), 98-105, 2016 | 53 | 2016 |
| Learning with memory embeddings V Tresp, C Esteban, Y Yang, S Baier, D Krompaß arXiv preprint arXiv:1511.07972, 2015 | 32 | 2015 |
| Exploiting latent embeddings of nominal clinical data for predicting hospital readmission D Krompaß, C Esteban, V Tresp, M Sedlmayr, T Ganslandt KI-Künstliche Intelligenz 29 (2), 153-159, 2015 | 24 | 2015 |
| Machine Learning-based Model for Prediction of Clinical Deterioration in Hospitalized Patients by COVID-19. S Garcia-Gutierrez, C Esteban-Aizpiri, I Lafuente, I Barrio, R Quiros, ... | 16 | 2021 |
| Machine learning for COPD exacerbation prediction C Esteban, J Moraza, F Sancho, M Aburto, A Aramburu, B Goiria, ... European Respiratory Journal 46 (suppl 59), OA3282, 2015 | 13 | 2015 |
| Machine learning for early prediction of circulatory failure in the intensive care unit SL Hyland, M Faltys, M Hüser, X Lyu, T Gumbsch, C Esteban, C Bock, ... arXiv preprint arXiv:1904.07990, 2019 | 11 | 2019 |
| Embedding mapping approaches for tensor factorization and knowledge graph modelling Y Yang, C Esteban, V Tresp European Semantic Web Conference, 199-213, 2016 | 5 | 2016 |
| Predicting Circulatory System Deterioration in Intensive Care Unit Patients SL Hyland, M Faltys, M Hüser, X Lyu, C Esteban, T Merz, G Rätsch | 1* | |
| Late Breaking Abstract-Recurrent Neural Networks and environmental data for COPD exacerbation prediction C Esteban, FJ Moraza, P García, A Aramburu, F Sancho, L Chasco, ... European Respiratory Journal 56 (suppl 64), 2020 | | 2020 |
| A Machine Learning-based Early Warning System for Circulatory System Deterioration in Intensive Care Unit Patients SL Hyland, M Faltys, M Hüser, X Lyu, C Esteban, G Rätsch, T Merz AMIA, 2018 | | 2018 |
| Deep Learning for Suicidal Ideation Prediction C Esteban, A Artés, E Baca-García, V Tresp NIPS 2016 Workshop on Machine Learning for Health, 2016 | | 2016 |
| Generative Adversarial Networks for Medical Decision Modelling C Esteban, V Tresp NIPS Workshop on Machine Learning for Health (NIPS 2016), 2016 | | 2016 |
| Embedding Mapping Approaches Y Yang, C Esteban, V Tresp | | |
| Combining Static and Dynamic Information for Clinical Event Prediction C Esteban, A Artés, Y Yang, O Staeck, E Baca-Garcıa, V Tresp | | |
