Ioana Bica
Ioana Bica
PhD Student, University of Oxford, The Alan Turing Institute
Verified email at eng.ox.ac.uk
Title
Cited by
Cited by
Year
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
3322020
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
402020
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 109 (1), 87-100, 2021
392021
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
242020
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 12 (4), 506-517, 2020
222020
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks
I Bica*, J Jordon*, M van der Schaar
Neural Information Processing Systems (NeurIPS), 2020
132020
Strictly Batch Imitation Learning by Energy-based Distribution Matching
D Jarrett*, I Bica*, M van der Schaar
Neural Information Processing Systems (NeurIPS), 2020
112020
Multi-omics data integration using cross-modal neural networks
I Bica, P Velickovic, H Xiao, P Lio
ESANN, 2018
102018
Unsupervised generative and graph representation learning for modelling cell differentiation
I Bica*, H Andrs-Terr*, A Cvejic, P Li
Nature Scientific Reports, 2019
82019
Learning "What-if" Explanations for Sequential Decision-Making
I Bica, D Jarrett, A Hyk, M van der Schaar
International Conference on Learning Representations (ICLR), 2021
6*2021
Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All
SK Sarkar, S Roy, E Alsentzer, MBA McDermott, F Falck, I Bica, G Adams, ...
Machine Learning for Health, 1-11, 2020
62020
OrganITE: Optimal transplant donor organ offering using an individual treatment effect
J Berrevoets, J Jordon, I Bica, A Gimson, M van der Schaar
Neural Information Processing Systems (NeurIPS), 2020
42020
Clairvoyance: A Pipeline Toolkit for Medical Time Series
D Jarrett*, J Yoon*, I Bica, Z Qian, A Ercole, M van der Schaar
International Conference on Learning Representations (ICLR), 2021
32021
The Medkit-Learn (ing) Environment: Medical Decision Modelling through Simulation
AJ Chan, I Bica, A Huyuk, D Jarrett, M van der Schaar
arXiv preprint arXiv:2106.04240, 2021
12021
Comparing COVID-19 risk factors in Brazil using machine learning: the importance of socioeconomic, demographic and structural factors
P Baqui, V Marra, AM Alaa, I Bica, A Ercole, M van der Schaar
medarxiv, 2021
12021
SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes
Z Qian, Y Zhang, I Bica, A Wood, M van der Schaar
Advances in Neural Information Processing Systems 34, 2021
2021
Time-series Generation by Contrastive Imitation
D Jarrett, I Bica, M van der Schaar
Advances in Neural Information Processing Systems 34, 2021
2021
Feature importance in multi-dimensional tissue-engineering datasets: Random forest assisted optimisation of experimental variables for collagen scaffolds
M Nair, I Bica, S Best, R Cameron
Applied Physics Reviews, 2021
2021
Invariant Causal Imitation Learning for Generalizable Policies
I Bica, D Jarrett, M van der Schaar
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
2021
Model-Attentive Ensemble Learning for Sequence Modeling
VD Bourgin, I Bica, M van der Schaar
Machine Learning for Health (ML4H) Workshop (NeurIPS), 2021
2021
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Articles 1–20