Marko Ruman

  1. Kárný Miroslav, Ruman MarkoMixture ratio modeling of dynamic systems , International Journal of Adaptive Control and Signal Processing vol.35, 5 (2021), p. 660-675 [2021] Download Download DOI: 10.1002/acs.3219

  1. Guy Tatiana Valentine, Kárný Miroslav, Gaj Aleksej, Ruman Marko, Ružejnikov Jurij, Pelikán M.2025 DYNALIFE Conference on QUANTUM INFORMATION AND DECISION MAKING IN LIFE SCIENCES PROGRAMME and ABSTRACTS, Czech University of Life Sciences Prague, (Prague 2025) , DYNALIFE 2025 : Conference on QUANTUM INFORMATION AND DECISION MAKING IN LIFE SCIENCES, (Prague, CZ, 20250428) [2025] Download DOI: https://doi.org/10.5281/zenodo.15854639
  2. Ruman Marko, Kárný MiroslavDynamic Mixture Ratio Model , Proceedings of the 2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO), p. 92-99, The Institute of Electrical and Electronics Engineers, Inc., ( 2020) , International Conference on Control, Artificial Intelligence, Robotics & Optimization ICCAIRO 2019, (Athens, GR, 20191208) [2020] Download DOI: 10.1109/ICCAIRO47923.2019.00023
  3. Guy Tatiana Valentine, Ruman Marko, Hůla František, Kárný MiroslavExperimental Performance of Deliberation-Aware Responder in Multi-Proposer Ultimatum Game , Proceedings of the NIPS 2016 Workshop on Imperfect Decision Makers, p. 51-60 , Eds: Guy Tatiana Valentine, Kárný Miroslav, Rios-Insua D., Wolpert D. H., NIPS 2016 Workshop on Imperfect Decision Makers, (Barcelona, ES, 20161209) [2017] Download
  4. Ruman Marko, Hůla František, Kárný Miroslav, Guy Tatiana ValentineDeliberation-aware Responder in Multi-Proposer Ultimatum Game , Artificial Neural Networks and Machine Learning – ICANN 2016, p. 230-237, International Conference on Artificial Neural Networks 2016 /25./, (Barcelona, ES, 20160906) [2016] Download DOI: 10.1007/978-3-319-44778-0_27
  5. Hůla František, Ruman Marko, Kárný MiroslavAdaptive Proposer for Ultimatum Game , Artificial Neural Networks and Machine Learning – ICANN 2016, p. 330-338, International Conference on Artificial Neural Networks 2016 /25./, (Barcelona, ES, 20160906) [2016] Download DOI: 10.1007/978-3-319-44778-0_39