Παρακολούθηση
Ioana Bica
Ioana Bica
PhD Student, University of Oxford, The Alan Turing Institute
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα eng.ox.ac.uk
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Παρατίθεται από
Παρατίθεται από
Έτος
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
4532020
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
692021
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
692020
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
402020
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
362020
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
242020
Strictly Batch Imitation Learning by Energy-based Distribution Matching
D Jarrett*, I Bica*, M van der Schaar
Neural Information Processing Systems (NeurIPS), 2020
152020
Learning "What-if" Explanations for Sequential Decision-Making
I Bica, D Jarrett, A Hüyük, M van der Schaar
International Conference on Learning Representations (ICLR), 2021
142021
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
132020
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
N Tomasev*, I Bica*, B McWilliams*, L Buesing, R Pascanu, C Blundell, ...
arXiv preprint arXiv:2201.05119, 2022
122022
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
122021
Multi-omics data integration using cross-modal neural networks
I Bica, P Velickovic, H Xiao, P Lio
ESANN, 2018
102018
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
92020
Unsupervised generative and graph representation learning for modelling cell differentiation
I Bica*, H Andrés-Terré*, A Cvejic, P Liò
Nature Scientific Reports, 2019
92019
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
62021
CellVGAE: an unsupervised scRNA-seq analysis workflow with graph attention networks
D Buterez, I Bica, I Tariq, H Andrés-Terré, P Liò
Bioinformatics 38 (5), 1277-1286, 2022
52022
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, 3178-3190, 2021
42021
Time-series generation by contrastive imitation
D Jarrett, I Bica, M van der Schaar
Advances in Neural Information Processing Systems 34, 28968-28982, 2021
42021
Invariant Causal Imitation Learning for Generalizable Policies
I Bica*, D Jarrett*, M van der Schaar
Advances in Neural Information Processing Systems 34, 2021
22021
Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time
J Berrevoets, A Curth, I Bica, E McKinney, M van der Schaar
arXiv preprint arXiv:2112.03811, 2021
12021
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