Research output per year
Research output per year
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Dive into the research topics where Amos Storkey is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Adversarial robustness of VAEs through the lens of local geometry
Khan, A. & Storkey, A., 25 Apr 2023, Proceedings of The 26th International Conference on Artificial Intelligence and Statistics. Ruiz, F., Dy, J. & van de Meent, J-W. (eds.). PMLR, Vol. 206. p. 8954-8967 14 p. (Proceedings of Machine Learning Research).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Can deep learning on retinal images augment known risk factors for cardiovascular disease prediction in diabetes? A prospective cohort study from the national screening programme in Scotland
Mellor, J., Jiang, W., Fleming, A., McGurnaghan, S. J., Blackbourn, L., Styles, C., Storkey, A. J., McKeigue, P. M., Colhoun, H. M. & Scottish Diabetes Research Network Epidemiology Group, 18 Apr 2023, In: International journal of medical informatics. 175, p. 105072 105072.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Using deep learning to model elevation differences between 2 radar and laser altimetry
Horton, A., Ewart, M., Gourmelen, N., Fettweis, X. & Storkey, A. J., 8 Dec 2022, In: Remote Sensing. 14, 24, 6210.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Prediction-Guided Distillation for Dense Object Detection
Yang, C., Ochal, M., Storkey, A. J. & Crowley, E. J., 6 Nov 2022, Computer Vision – ECCV 2022. : 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part IX. Springer, Vol. 13669. p. 123-138 (Lecture Notes in Computer Science; vol. 13669).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Robust and Efficient Computation of Retinal Fractal Dimension Through Deep Approximation
Engelmann, J., Villaplana-Velasco, A., Storkey, A. & Bernabeu, M. O., 15 Sept 2022, Ophthalmic Medical Image Analysis: 9th International Workshop, OMIA 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings. Antony, B., Fu, H., Lee, C. S., MacGillivray, T., Xu, Y. & Zheng, Y. (eds.). Cham: Springer International Publishing Switzerland, p. 84-93 10 p. (Lecture Notes in Computer Science; vol. 13576).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile
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dAIEDGE: A network of excellence for distributed, trustworthy, efficient and scalable AI at the Edge
1/09/23 → 31/08/26
Project: Research
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Continuous Learning at the Edge/IoT devices using Meta Learning
UK industry, commerce and public corporations
1/09/21 → 31/08/25
Project: Research
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Better Sample Efficiency of Reinforcement Learning - CASE Studentship
UK industry, commerce and public corporations
16/03/20 → 30/04/25
Project: Research
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Datasets
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CINIC-10 Is Not ImageNet or CIFAR-10
Crowley, E. J. (Creator), Storkey, A. (Creator), Antoniou, A. (Creator) & Darlow, L. N. (Creator), Edinburgh DataShare, 28 Sept 2018
DOI: 10.7488/ds/2448, https://arxiv.org/abs/1810.03505
Dataset
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Metrics for quality control of results from super-resolution machine-learning algorithms – Data extracted from publications in the period 2017- May 2021
Castorina, L. V. (Creator), Li, B. M. (Creator), Storkey, A. (Creator) & Valdes Hernandez, M. (Creator), Edinburgh DataShare, 24 Jun 2021
DOI: 10.7488/ds/3062
Dataset
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A test-retest fMRI dataset for motor, language and spatial attention functions
Gorgolewski, K. J. (Creator), Storkey, A. (Creator), Bastin, M. (Creator), Whittle, I. (Creator), Wardlaw, J. (Creator) & Pernet, C. (Creator), GigaScience, 2013
DOI: 10.5524/100051, http://gigadb.org/dataset/100051
Dataset
Press/Media
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Amos Storkey comments on online gaming race between Google and Facebook
5/12/15
1 item of Media coverage
Press/Media: Expert Comment
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Christopher Clark and Amos Storkey apply new algorithms to ancient Chinese game 'Go'
Christopher Clark & Amos Storkey
15/12/14
2 items of Media coverage
Press/Media: Research