Dimitrios Korkinof
Dimitrios Korkinof
Staff Machine Learning Engineer at Spotify
Verified email at - 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
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
Probabilistic abstract argumentation: an investigation with Boltzmann machines
R Riveret, D Korkinof, M Draief, J Pitt
Argument & Computation 6 (2), 178-218, 2015
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
Neuro-Symbolic Agents: Boltzmann Machines and Probabilistic Abstract Argumentation with Sub-Arguments.
R Riveret, JV Pitt, D Korkinof, M Draief
AAMAS, 1481-1489, 2015
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: opportunities, applications and …, 2019
Online quantum mixture regression for trajectory learning by demonstration
D Korkinof, Y Demiris
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
Systems and methods for performing random walks on knowledge graphs
M Beguerisse-Díaz, TA Hoffmann, D Korkinof
US Patent App. 17/333,385, 2021
MammoGAN: High-resolution synthesis of realistic mammograms
D Korkinof, A Heindl, T Rijken, H Harvey, B Glocker
Multi-task and multi-kernel Gaussian process dynamical systems
D Korkinof, Y Demiris
Pattern Recognition 66, 190-201, 2017
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
Second reader suggestion
P Kecskemethy, T Rijken, E Karpati, M O'neill, A Heindl, JE Yearsley, ...
US Patent 11,455,723, 2022
Domain adaption
T Rijken, M O'neill, A Heindl, J Yearsley, D Korkinof, G Khara
US Patent 11,893,659, 2024
A spatially-constrained normalized gamma process for data clustering
SP Chatzis, D Korkinof, Y Demiris
Artificial Intelligence Applications and Innovations: 8th IFIP WG 12.5 …, 2012
Second reader
T Rijken, M O'neill, A Heindl, JE Yearsley, D Korkinof, G Khara, ...
US Patent 11,410,307, 2022
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
Systems and Methods for Grouping Records Associated with Like Media Items
D Korkinof
US Patent App. 18/159,633, 2024
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