Stephanie L Hyland
Stephanie L Hyland
PhD Student, Weill Cornell/Memorial Sloan Kettering Cancer Center
Verified email at - Homepage
TitleCited byYear
Identification of active transcriptional regulatory elements from GRO-seq data
CG Danko, SL Hyland, LJ Core, AL Martins, CT Waters, HW Lee, ...
Nature methods 12 (5), 433, 2015
Real-valued (medical) time series generation with recurrent conditional gans
C Esteban, SL Hyland, G Rätsch
arXiv preprint arXiv:1706.02633, 2017
Neural document embeddings for intensive care patient mortality prediction
P Grnarova, F Schmidt, SL Hyland, C Eickhoff
arXiv preprint arXiv:1612.00467, 2016
Learning Unitary Operators with Help From u (n)
SL Hyland, G Rätsch
AAAI 2017, 2016
A generative model of words and relationships from multiple sources
SL Hyland, T Karaletsos, G Rätsch
Association for the Advancement of Artificial Intelligence, 2016
Improving clinical predictions through unsupervised time series representation learning
X Lyu, M Hüser, SL Hyland, G Zerveas, G Rätsch
arXiv preprint arXiv:1812.00490, 2018
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs
S Hyland, C Esteban, G Rätsch
Knowledge transfer with medical language embeddings
SL Hyland, T Karaletsos, G Rätsch
arXiv preprint arXiv:1602.03551, 2016
Largescale sentence clustering from electronic health records for genetic associations in cancer
MF Pradier, S Stark, S Hyland, JE Vogt, G Rätsch
Machine Learning for Computational Biology Workshop in Neural Information …, 2015
Accurate identification of active transcriptional regulatory elements from global run-on and sequencing data
CG Danko, SL Hyland, LJ Core, AL Martins, CT Waters, HW Lee, ...
BioRxiv, 011353, 2014
Unsupervised Extraction of Phenotypes from Cancer Clinical Notes for Association Studies
SG Stark, SL Hyland, MF Pradier, K Lehmann, A Wicki, FP Cruz, JE Vogt, ...
arXiv preprint arXiv:1904.12973, 2019
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
A Bayesian Nonparametric Approach to Discover Clinico-Genetic Associations across Cancer Types
MF Pradier, SL Hyland, SG Stark, K Lehmann, JE Vogt, F Perez-Cruz, ...
BioRxiv, 623215, 2019
Predicting circulatory system deterioration in intensive care unit patients.
SL Hyland, M Hüser, X Lyu, M Faltys, T Merz, G Rätsch
AIH@ IJCAI, 87-92, 2018
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