Dimitrios Korkinof
Dimitrios Korkinof
Machine Learning Researcher
Verified email at alumni.imperial.ac.uk - Homepage
Cited by
Cited by
High-resolution mammogram synthesis using progressive generative adversarial networks
D Korkinof, T Rijken, M O'Neill, J Yearsley, H Harvey, B Glocker
arXiv preprint arXiv:1807.03401, 2018
A nonparametric Bayesian approach toward robot learning by demonstration
SP Chatzis, D Korkinof, Y Demiris
Robotics and Autonomous Systems 60 (6), 789-802, 2012
A quantum-statistical approach toward robot learning by demonstration
SP Chatzis, D Korkinof, Y Demiris
IEEE Transactions on Robotics 28 (6), 1371-1381, 2012
Probabilistic abstract argumentation: an investigation with Boltzmann machines
R Riveret, D Korkinof, M Draief, J Pitt
Argument & Computation 6 (2), 178-218, 2015
Online quantum mixture regression for trajectory learning by demonstration
D Korkinof, Y Demiris
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
Neuro-Symbolic Agents: Boltzmann Machines and Probabilistic Abstract Argumentation with Sub-Arguments.
R Riveret, JV Pitt, D Korkinof, M Draief
AAMAS, 1481-1489, 2015
The Role of Deep Learning in Breast Screening
H Harvey, E Karpati, G Khara, D Korkinof, A Ng, C Austin, T Rijken, ...
Current Breast Cancer Reports, 1-6, 2019
The one-hidden layer non-parametric Bayesian kernel machine
SP Chatzis, D Korkinof, Y Demiris
2011 IEEE 23rd International Conference on Tools with Artificial …, 2011
Deep learning in breast cancer screening
H Harvey, A Heindl, G Khara, D Korkinof, M O’Neill, J Yearsley, E Karpati, ...
Artificial Intelligence in Medical Imaging, 187-215, 2019
Multi-task and multi-kernel Gaussian process dynamical systems
D Korkinof, Y Demiris
Pattern Recognition 66, 190-201, 2017
MammoGAN: High-resolution synthesis of realistic mammograms
D Korkinof, A Heindl, T Rijken, H Harvey, B Glocker
International Conference on Medical Imaging with Deep Learning--Extended …, 2019
Perceived Realism of High-Resolution Generative Adversarial Network–derived Synthetic Mammograms
D Korkinof, H Harvey, A Heindl, E Karpati, G Williams, T Rijken, ...
Radiology: Artificial Intelligence 3 (2), e190181, 2020
A spatially-constrained normalized Gamma process prior
SP Chatzis, D Korkinof, Y Demiris
Expert Systems with Applications 39 (17), 13019-13025, 2012
The Kernel Pitman-Yor Process
SP Chatzis, D Korkinof, Y Demiris
arXiv preprint arXiv:1210.4184, 2012
A spatially-constrained normalized gamma process for data clustering
SP Chatzis, D Korkinof, Y Demiris
IFIP International Conference on Artificial Intelligence Applications and …, 2012
Second Reader
T Rijken, M O'neill, A Heindl, JE Yearsley, D Korkinof, G Khara, ...
US Patent App. 17/251,354, 2021
Thematic recommendations on knowledge graphs using multilayer networks
M Beguerisse-Díaz, D Korkinof, T Hoffmann
arXiv preprint arXiv:2105.05733, 2021
Probabilistic abstract argumentation: An investigation with Boltzmann machines
R Riveret, D Korkinof, M Draief, J Pitt
Argument and Computation 8 (1), 2017
Probabilistic Learning by Demonstration from Complete and Incomplete Data
D Korkinof
Imperial College London, 2015
A Spatially-constrained Normalized Gamma Process Prior
D Korkinof, Y Demiris, SP Chatzis
Expert systems with applications, 2012
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