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2020 – today
- 2024
[c13]Dávid Vincze, Mihoko Niitsuma:
Towards an Interaction Stimulator Social Robot in the Parent-Child Interaction Therapy based on Real-time Speech Processing. RO-MAN 2024: 886-892- [c12]Dávid Vincze, Mihoko Niitsuma
:
A Human Speech-based Behavior Model for Social Robots based on Parent-Child Interaction Therapy. SII 2024: 579-584 - 2023
- [c11]Dávid Vincze, Mihoko Niitsuma:
Human-Object-Robot Interaction Through Playing Behaviour for Social Robots. SMC 2023: 3174-3179 - 2022
- [c10]Dávid Vincze, Mihoko Niitsuma:
What-You-See-Is-What-You-Get Indoor Localization for Physical Human-Robot Interaction Experiments. AIM 2022: 909-914 - 2021
- [c9]Dávid Vincze, Márta Gácsi, Szilveszter Kovács, Péter Korondi, Ádám Miklósi, Mihoko Niitsuma:
Towards the automatic observation and evaluation of ethologically inspired Human-Robot Interaction. AIM 2021: 586-591 - [c8]Dávid Vincze, Márta Gácsi, Szilveszter Kovács, Mihoko Niitsuma, Péter Korondi, Ádám Miklósi:
Towards the automatic observation and coding of simple behaviours in ethological experiments. SII 2021: 841-842 - [c7]Tamás Tompa, Szilveszter Kovács, Dávid Vincze, Mihoko Niitsuma:
Demonstration of expert knowledge injection in Fuzzy Rule Interpolation based Q-learning. SII 2021: 843-844 - 2020
- [c6]Dávid Vincze, Alex Tóth, Mihoko Niitsuma:
Antecedent Redundancy Exploitation in Fuzzy Rule Interpolation-based Reinforcement Learning. AIM 2020: 1316-1321 - [c5]Dávid Vincze, Alex Tóth, Mihoko Niitsuma:
Football Simulation Modeling with Fuzzy Rule Interpolation-based Fuzzy Automaton. UR 2020: 87-92
2010 – 2019
- 2018
- [c4]Tamás Kovácsházy, Tibor Tusori, Dávid Vincze:
Prototype Implementation and Performance of Time-based Distributed Scheduling on Linux for Real-Time Cyber-Physical Systems. ISPCS 2018: 1-6 - 2014
- [b1]Dávid Vincze:
Fuzzy Rule Interpolation-based Q-learning. University of Miskolc, Hungary, 2014 - 2012
- [c3]Dávid Vincze, Szilveszter Kovács, Mihoko Niitsuma, Hideki Hashimoto, Péter Korondi, Márta Gácsi, Ádám Miklósi:
Ethologically inspired human-robot interaction interfaces. HCCE 2012: 51-57 - 2011
- [j1]Dávid Vincze, Szilveszter Kovács:
Performance Optimization of the Fuzzy Rule Interpolation Method "FIVE". J. Adv. Comput. Intell. Intell. Informatics 15(3): 313-320 (2011)
2000 – 2009
- 2009
- [c2]Dávid Vincze, Szilveszter Kovács:
Fuzzy Rule Interpolation-based Q-learning. SACI 2009: 55-60 - [c1]Szilveszter Kovács, Dávid Vincze, Márta Gácsi, Ádám Miklósi, Péter Korondi:
Interpolation based Fuzzy Automaton for Human-Robot Interaction. SyRoCo 2009: 317-322
Coauthor Index
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