Stephanie L Hyland
Stephanie L Hyland
PhD Student, Weill Cornell/Memorial Sloan Kettering Cancer Center
Verified email at cornell.edu - 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
892015
Real-valued (medical) time series generation with recurrent conditional gans
C Esteban, SL Hyland, G Rätsch
arXiv preprint arXiv:1706.02633, 2017
652017
Neural document embeddings for intensive care patient mortality prediction
P Grnarova, F Schmidt, SL Hyland, C Eickhoff
arXiv preprint arXiv:1612.00467, 2016
202016
Learning Unitary Operators with Help From u (n)
SL Hyland, G Rätsch
AAAI 2017, 2016
192016
A generative model of words and relationships from multiple sources
SL Hyland, T Karaletsos, G Rätsch
Association for the Advancement of Artificial Intelligence, 2016
52016
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
22018
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs
S Hyland, C Esteban, G Rätsch
12018
Knowledge transfer with medical language embeddings
SL Hyland, T Karaletsos, G Rätsch
arXiv preprint arXiv:1602.03551, 2016
12016
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
12015
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
12014
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
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
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
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
2018
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Articles 1–14