Dimitrios Athanasakis
Dimitrios Athanasakis
Machine Learning EngD, University College London (UCL)
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Zitiert von
Zitiert von
Challenges in representation learning: A report on three machine learning contests
IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ...
Neural Information Processing: 20th International Conference, ICONIP 2013 …, 2013
Discriminating active from latent tuberculosis in patients presenting to community clinics
G Sandhu, F Battaglia, BK Ely, D Athanasakis, R Montoya, T Valencia, ...
PLoS One 7 (5), e38080, 2012
Severe childhood malaria syndromes defined by plasma proteome profiles
F Burté, BJ Brown, AE Orimadegun, WA Ajetunmobi, F Battaglia, BK Ely, ...
PLoS One 7 (12), e49778, 2012
Global transcriptional analysis of primitive thymocytes reveals accelerated dynamics of T cell specification in fetal stages
NN Belyaev, J Biró, D Athanasakis, D Fernandez-Reyes, AJ Potocnik
Immunogenetics 64, 591-604, 2012
Privacy-preserving bandits
M Malekzadeh, D Athanasakis, H Haddadi, B Livshits
Proceedings of Machine Learning and Systems 2, 350-362, 2020
Keeping out the masses: Understanding the popularity and implications of internet paywalls
P Papadopoulos, P Snyder, D Athanasakis, B Livshits
Proceedings of The Web Conference 2020, 1433-1444, 2020
Sleep staging with deep learning: a convolutional model.
I Fernández-Varela, D Athanasakis, S Parsons, E Hernández-Pereira, ...
ESANN, 2018
Learning non-linear feature maps
D Athanasakis, J Shawe-Taylor, D Fernandez-Reyes
arXiv preprint arXiv:1311.5636, 2013
Principled Non-Linear Feature Selection
D Athanasakis, J Shawe-Taylor, D Fernandez-Reyes
arXiv preprint arXiv:1312.5869, 2013
Feature Selection in Computational Biology
D Athanasakis
UCL (University College London), 2014
Learning Non-Linear Feature Maps, With An Application To Representation Learning
D Athanasakis, J Shawe-Taylor, D Fernandez-Reyes
Discriminating Active from Latent Tuberculosis in Patients Presenting to
G Sandhu, F Battaglia, BK Ely, D Athanasakis, R Montoya
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