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Zitiert von
Zitiert von
Jahr
Improving workflow efficiency for mammography using machine learning
T Kyono, FJ Gilbert, M van der Schaar
Journal of the American College of Radiology 17 (1), 56-63, 2020
802020
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
B van Breugel*, T Kyono*, J Berrevoets, M van der Schaar
Advances in Neural Information Processing Systems (NeurIPS) 34, 2021
742021
CASTLE: Regularization via Auxiliary Causal Graph Discovery
T Kyono, Y Zhang, M van der Schaar
Advances in Neural Information Processing Systems (NeurIPS), 2020
642020
Triage of 2d mammographic images using multi-view multi-task convolutional neural networks
T Kyono, FJ Gilbert, MVD Schaar
ACM Transactions on Computing for Healthcare 2 (3), 1-24, 2021
45*2021
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
T Kyono, Y Zhang, A Bellot, M van der Schaar
Advances in Neural Information Processing Systems (NeurIPS) 34, 2021
402021
Machine learning for quality assessment of ground-based optical images of satellites
T Kyono, J Lucas, M Werth, B Calef, I McQuaid, J Fletcher
Optical Engineering 59 (5), 051403-051403, 2020
212020
Multi-view multi-task learning for improving autonomous mammogram diagnosis
T Kyono, FJ Gilbert, M Schaar
Machine Learning for Healthcare Conference, 571-591, 2019
172019
Formal analysis of neural network-based systems in the aircraft domain
P Kouvaros, T Kyono, F Leofante, A Lomuscio, D Margineantu, ...
Formal Methods: 24th International Symposium, FM 2021, Virtual Event …, 2021
162021
Commentator: A front-end user-interface module for graphical and structural equation modeling
T Kyono
University of California, Los Angeles (Thesis under Judea Pearl), 2010
162010
To impute or not to impute? missing data in treatment effect estimation
J Berrevoets, F Imrie, T Kyono, J Jordon, M Van der Schaar
International Conference on Artificial Intelligence and Statistics, 3568-3590, 2023
152023
Selecting treatment effects models for domain adaptation using causal knowledge
T Kyono, I Bica, Z Qian, M van der Schaar
ACM Transactions on Computing for Healthcare 4 (2), 1-29, 2023
112023
Silo: A machine learning dataset of synthetic ground-based observations of leo satellites
M Werth, J Lucas, T Kyono, I McQuaid, J Fletcher
2020 IEEE Aerospace Conference, 1-8, 2020
112020
Improving model robustness using causal knowledge
T Kyono, M van der Schaar
arXiv preprint arXiv:1911.12441, 2019
112019
Recovering astronomical images with deep neural network supported bispectrum processing
J Lucas, B Calef, T Kyono
Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference, 2018
112018
Automated interpretability scoring of ground-based observations of leo objects with deep learning
J Lucas, M Werth, T Kyono, I Mcquaid, J Fletcher
2020 IEEE Aerospace Conference, 1-7, 2020
102020
Exploiting causal structure for robust model selection in unsupervised domain adaptation
T Kyono, M Van der Schaar
IEEE Transactions on Artificial Intelligence 2 (6), 494-507, 2021
92021
Determining Multi-frame Blind Deconvolution Resolvability using Deep Learning
T Kyono, J Lucas, M Werth, J Flecther, I McQuaid
Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference, 62, 2019
92019
Estimating Satellite Orientation through Turbulence with Deep Learning
J Lucas, T Kyono, M Werth, N Gagnier, Z Endsley, J Fletcher, I McQuaid
Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference, 2020
72020
Siamese survival analysis with competing risks
A Nemchenko, T Kyono, M Van Der Schaar
Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018
72018
Quality-Weighted Iterative Deconvolution (QWID)
M Werth, T Kyono, J Lucas, J Fletcher, I Mcquaid, M Brannon
Advanced Maui Optical and Space Surveillance (AMOS) Technologies Conference, 2020
62020
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