Bernardino Romera-Paredes
Bernardino Romera-Paredes
Google DeepMind
Zweryfikowany adres z
Cytowane przez
Cytowane przez
Conditional random fields as recurrent neural networks
S Zheng, S Jayasumana, B Romera-Paredes, V Vineet, Z Su, D Du, ...
Proceedings of the IEEE international conference on computer vision, 1529-1537, 2015
Clinically applicable deep learning for diagnosis and referral in retinal disease
J De Fauw, JR Ledsam, B Romera-Paredes, S Nikolov, N Tomasev, ...
Nature medicine 24 (9), 1342-1350, 2018
An embarrassingly simple approach to zero-shot learning
B Romera-Paredes, P Torr
International conference on machine learning, 2152-2161, 2015
International evaluation of an AI system for breast cancer screening
SM McKinney, M Sieniek, V Godbole, J Godwin, N Antropova, H Ashrafian, ...
Nature 577 (7788), 89-94, 2020
Highly accurate protein structure prediction with AlphaFold
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ...
Nature 596 (7873), 583-589, 2021
Recurrent instance segmentation
B Romera-Paredes, PHS Torr
European conference on computer vision, 312-329, 2016
A probabilistic u-net for segmentation of ambiguous images
SAA Kohl, B Romera-Paredes, C Meyer, J De Fauw, JR Ledsam, ...
arXiv preprint arXiv:1806.05034, 2018
The benefit of multitask representation learning
A Maurer, M Pontil, B Romera-Paredes
Journal of Machine Learning Research 17 (81), 1-32, 2016
Sparse coding for multitask and transfer learning
A Maurer, M Pontil, B Romera-Paredes
International conference on machine learning, 343-351, 2013
Multilinear multitask learning
B Romera-Paredes, H Aung, N Bianchi-Berthouze, M Pontil
International Conference on Machine Learning, 1444-1452, 2013
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy
S Nikolov, S Blackwell, A Zverovitch, R Mendes, M Livne, J De Fauw, ...
arXiv preprint arXiv:1809.04430, 2018
A new convex relaxation for tensor completion
B Romera-Paredes, M Pontil
arXiv preprint arXiv:1307.4653, 2013
The automatic detection of chronic pain-related expression: requirements, challenges and the multimodal EmoPain dataset
MSH Aung, S Kaltwang, B Romera-Paredes, B Martinez, A Singh, M Cella, ...
IEEE transactions on affective computing 7 (4), 435-451, 2015
Exploiting unrelated tasks in multi-task learning
BR Paredes, A Argyriou, N Berthouze, M Pontil
Artificial intelligence and statistics, 951-959, 2012
Highly accurate protein structure prediction for the human proteome
K Tunyasuvunakool, J Adler, Z Wu, T Green, M Zielinski, A Žídek, ...
Nature 596 (7873), 590-596, 2021
Conditional random fields meet deep neural networks for semantic segmentation: Combining probabilistic graphical models with deep learning for structured prediction
A Arnab, S Zheng, S Jayasumana, B Romera-Paredes, M Larsson, ...
IEEE Signal Processing Magazine 35 (1), 37-52, 2018
High accuracy protein structure prediction using deep learning
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, K Tunyasuvunakool, ...
Fourteenth Critical Assessment of Techniques for Protein Structure …, 2020
A one-vs-one classifier ensemble with majority voting for activity recognition
B Romera-Paredes, MSH Aung, N Bianchi-Berthouze
Laughter type recognition from whole body motion
HJ Griffin, MSH Aung, B Romera-Paredes, C McLoughlin, G McKeown, ...
2013 Humaine Association Conference on Affective Computing and Intelligent …, 2013
Facial expression tracking
C Zhang, Z Zhang, BR PAREDES
US Patent 9,672,416, 2017
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