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Cristóbal Esteban
Cristóbal Esteban
Cambrian Intelligence SLU; ETH Zurich
Geverifieerd e-mailadres voor ethz.ch
Titel
Geciteerd door
Geciteerd door
Jaar
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs
C Esteban, SL Hyland, G Rätsch
arXiv preprint arXiv:1706.02633, 2017
4752017
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
1472016
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
1252020
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
492015
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
442016
Learning with memory embeddings
V Tresp, C Esteban, Y Yang, S Baier, D Krompaß
arXiv preprint arXiv:1511.07972, 2015
222015
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
192015
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
102015
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
82019
Embedding mapping approaches for tensor factorization and knowledge graph modelling
Y Yang, C Esteban, V Tresp
European Semantic Web Conference, 199-213, 2016
52016
Predicting Circulatory System Deterioration in Intensive Care Unit Patients
SL Hyland, M Faltys, M Hüser, X Lyu, C Esteban, T Merz, G Rätsch
1*
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, ...
2021
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
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Artikelen 1–18