Prof. lehel csato

Prof. Lehel Csato

Computer Science Department (Visiting Faculty)

Specializations:

Functional programming, Artificial Intelligence, Machine Learning

Full professor at the Babes-Bolyai University of Cluj-Napoca, Romania.

B.Sc. in Computer Science and Mathematics (BBU),

M.Sc. in Artificial Intelligence (BBU),

Ph.D. in Machine Learning (Aston Uni, UK)

Zsók V, Horváth Z, Csató L (2015) Proceedings of the Central European Functional Programming School, Cluj-Napoca 2013, Functional Programming for Domain Specific Languages, Springer Verlag.
Bodó Z, Csató L (2014) Linear Spectral Hashing, Neurocomputing, Vol 141, pp. 117-123, DOI: 10.1016/j.neucom.2013.11.039
Bodó Z, Csató L (2013) Linear Spectral Hashing, in Proceedings of the 21th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pp. 303-308.
Bócsi B, Hennig P, Csató L, Peters J (2012) Learning tracking control with forward models, in IEEE International Conference on Robotics and Automation, (ICRA), IEEE Press, pp. 259–264.
Barillec R, Ingram B, Cornford D, Csató L (2011) Projected sequential gaussian processes: a C++ tool for interpolation of heterogeneous data sets, Computers and Geosciences, 37/3, pp. 295–309 (IF 1.142).
Bodó Z, Minier Zs, Csató L (2011) Active learning with clustering, Journal of Machine Learning Research: Workshop and Conference Proceedings, volume 16, pp. 127–139 (IF 2.68).
Jakab H, Csató L (2012) Reinforcement learning with guided policy search using Gaussian processes, in The 2012 International Joint Conference on Neural Networks (IJCNN), pp. 2710–2717.

Partner and principal investigator in multiple national and international projects: Nonparametric models in machine learning: applications in robotics and data analysis – principal investigator – 2011-2014 (PN-II-RU-TE-2011-3-0278), Autonomous robotic control using spiking neural network models – research partner – (PNII/11-039, 2007 – 2010).