Scholar
Kristína Malinovská (Rebrová)
Google Scholar ID: RJ_IiSoAAAAJ
Comenius University of Bratislava
Citations & Impact
Citations
54
H-index
4
i10-index
1
Publications
20
Co-authors
3
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Lead author of the novel UBAL neural network model - a biologically plausible alternative for classical error backpropagation with the prospect of revolutionizing how we build and use conventional artificial neural networks. Also, the lead author or co-author of several other novel neural network models.
Research Experience
- From the beginning of her PhD studies until now, she has been working as a teacher at the MEi:CogSci master's program. Currently teaching 'Fundamentals of Programming', 'Introduction to Computational Intelligence', and 'Cognitive Science Seminar'. Additionally, continues research in the field of cognitive robotics, particularly in sensorimotor cognition, as well as human-robot interaction, focusing on trustworthiness and human-awareness of humanoid robots towards human users.
Education
- PhD, Faculty of Mathematics, Physics and Informatics, Comenius University, Department of Applied Informatics.
Background
- Research interests include cognitive robotics, artificial neural networks (ANN), deep learning, and biologically plausible neural network learning. Particularly focused on modeling the grounding of meaning in sensorimotor cognition and modeling the mirror neuron system in humanoid robots. Current research focus is on deep learning and biologically plausible neural network learning.
Miscellany
- Personal links: Google Scholar, LinkedIn, ResearchGate, Academia.edu, SlideShare
