Year | Student | Dissertation thesis title |
2021 | Matúš Tuna | Label-efficient learning in artificial neural networks |
2021 | Juraj Holas | Adaptive skill acquisition in hierarchical reinforcement learning |
2019 | Peter Gergeľ | Biologically inspired modeling of artificial neuro-glial networks |
2019 | Viliam Dillinger | Abstract state space construction in hierarchical reinforcement learning |
2014 | Kristína Rebrová | Grounding the meaning in sensorimotor cognition: a connectionist approach |
2013 | Michal Malý | Reinforcement learning with abstraction |
2012 | Vladimír Chudý | Systém pre rozpoznávanie slov a verifikáciu hovoriaceho |
2011 | Ján Švantner | Natural language processing with recurrent neural networks |
2010 | Pavol Vančo | Processing of tree-structured data with recursive self-organizing maps |
Year | Student | Bachelor's thesis title |
2021 | Nina Raganová | Testing neural network intelligence using Raven’s Progressive Matrices |
2019 | David Šuba | Rozpoznávanie reči v zjednodušenom anglickom jazyku pre účely robotickej aplikácie |
2018 | Adrián Goga | Reinforcement learning in 2048 game |
2016 | Lejla Metohajrová | Biologically inspired predictive model of proprioceptive body representations |
2015 | Karin Vališová | Distal teacher learning in robotic arm reaching with active exploration |
2014 | Peter Barančok | Computational investigation of echo-state network properties |
2014 | Andrej Sekáč | Bimanual object grasping using a robotic simulator |
2013 | Michal Rataj | Aktívne rozpoznávanie objektov v robotickom simulátore iCub |
2011 | Matej Pecháč | Príprava úloh na cvičenia z rekurentných neurónových sietí |
2009 | Tomáš Malík | Analýza rekurentných sietí s echo stavmi pri generovaní trajektórií |
2008 | Peter Galiovský | Spracovanie viet jazyka pomocou neurónovej siete s echo stavmi |