Ioana Bica
Ioana Bica
PhD Student, University of Oxford, The Alan Turing Institute
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Ethnic and regional variations in hospital mortality from COVID-19 in Brazil: a cross-sectional observational study
P Baqui, I Bica, V Marra, A Ercole, M van Der Schaar
The Lancet Global Health 8 (8), e1018-e1026, 2020
Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations
I Bica, AM Alaa, J Jordon, M van der Schaar
International Conference on Learning Representations (ICLR), 2020
Multi-omics data integration using cross-modal neural networks
I Bica, P Velickovic, H Xiao, P Lio
ESANN, 2018
From real‐world patient data to individualized treatment effects using machine learning: Current and future methods to address underlying challenges
I Bica, AM Alaa, C Lambert, M van der Schaar
Clinical Pharmacology & Therapeutics, 2020
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks
I Bica, J Jordon, M van der Schaar
arXiv preprint arXiv:2002.12326, 2020
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders
I Bica, AM Alaa, M van der Schaar
International Conference on Machine Learning (ICML), 2020
Unsupervised generative and graph representation learning for modelling cell differentiation
I Bica, H Andrs-Terr, A Cvejic, P Li
Nature Scientific Reports, 2019
Machine learning for clinical trials in the era of COVID-19
WR Zame, I Bica, C Shen, A Curth, HS Lee, S Bailey, J Weatherall, ...
Statistics in Biopharmaceutical Research, 1-12, 2020
Batch Inverse Reinforcement Learning Using Counterfactuals for Understanding Decision Making
I Bica, D Jarrett, A Hyk, M van der Schaar
arXiv preprint arXiv:2007.13531, 2020
Strictly Batch Imitation Learning by Energy-based Distribution Matching
D Jarrett, I Bica, M van der Schaar
arXiv preprint arXiv:2006.14154, 2020
AutoML Pipeline for Medical Time Series
D Jarrett, J Yoon, I Bica, Z Qian, A Ercole, M van der Schaar
Individualised Dose-Response Estimation using Generative Adversarial Nets
I Bica, J Jordon, M van der Schaar
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