Ioana Bica
Ioana Bica
PhD Student, University of Oxford, The Alan Turing Institute
Geverifieerd e-mailadres voor eng.ox.ac.uk
Titel
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Jaar
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
3082020
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
352021
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
222020
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
202020
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
122020
Multi-omics data integration using cross-modal neural networks
I Bica, P Velickovic, H Xiao, P Lio
ESANN, 2018
92018
Strictly Batch Imitation Learning by Energy-based Distribution Matching
D Jarrett*, I Bica*, M van der Schaar
Neural Information Processing Systems (NeurIPS), 2020
82020
Unsupervised generative and graph representation learning for modelling cell differentiation
I Bica*, H Andrs-Terr*, A Cvejic, P Li
Nature Scientific Reports, 2019
72019
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
5*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
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
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
22020
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
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
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
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
Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge
T Kyono*, I Bica*, Z Qian, M van der Schaar
arXiv preprint arXiv:2102.06271, 2021
2021
Learning Matching Representations for Individualized Organ Transplantation Allocation
C Xu, AM Alaa, I Bica, BD Ershoff, M Cannesson, M van der Schaar
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
2021
SyncTwin: Transparent Treatment Effect Estimation under Temporal Confounding
Z Qian, Y Zhang, I Bica, A Wood, M van der Schaar
2020
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Artikelen 1–20