2017


[J4] D. Korkinof and Y. Demiris
"Multi-task and multi-kernel Gaussian process dynamical systems",
Pattern Recognition, vol. 66, pp. 190-201, 2017
[paper]

 

2016


[J3] R. Riveret, J. Pitt, D. Korkinof and M. Draief
An Investigation of Boltzmann Machines for Probabilistic Abstract Argu- mentation”
Journal of Argument & Computation

[C4] R. Riveret, J. Pitt, M. Draief, D. Korkinof
”Epistemic Neuro-Symoblic Agents: Boltzmann Machines and Abstract Prob- abilistic Argumentation with Supports.”
International Conference on Au- tonomous Agents & Multi-agent Systems (AAMAS), 2015

 

2013


[C3] D. Korkinof and Y. Demiris
”Online Quantum Mixture Regression for Trajectory Learning by Demonstration.”
IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013.

 

2012


[J3] S. Chatzis, D. Korkinof, Y. Demiris
”A Quantum-Statistical Approach Towards Robot Learning by Demonstration”
IEEE Transactions on Robotics, vol. 28, no. 6, pp. 1371–1381, 2012.

[J2] S. Chatzis, D. Korkinof, Y. Demiris
“A Spatially-Constrained Normalized Gamma Process Prior”
Expert Systems with Applications, vol. 39, no. 17, pp. 13019–13025, 2012

[J1] S. Chatzis, D. Korkinof, Y. Demiris
”A Nonparametric Bayesian Approach Towards Robot Learning by Demonstration”
Journal of Robotics and Autonomous Systems, vol. 60, no. 6, pp. 789–802, 2012.

[C2] S. Chatzis, D. Korkinof and Y. Demiris
“A Spatially-Constrained Normalised Gamma Process for Data Clustering”
International Conference on Artificial Intelligence Applications and Innovations, Halkidiki, Greece, September 2012

 

2011


[C1]S. Chatzis, D. Korkinof, Y. Demiris
"The One-Hidden Layer Non-parametric Bayesian Kernel Machine"
IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Boca Raton, FL, November 2011