Jan Koza

11 papers A 1B 1Journal 2Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context (Extended Abstract).
GECCO Companion
Zbynek Pitra, Jan Koza, Jirí Tumpach, Martin Holena
2025 J jnl
Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context.
Evol. Comput.
Zbynek Pitra, Jan Koza, Jirí Tumpach, Martin Holena
2024 — conf
Suitability of Modern Neural Networks for Active and Transfer Learning in Surrogate-Assisted Black-Box Optimization.
IAL@PKDD/ECML
Martin Holena, Jan Koza
2023 — conf
Improving Optimization with Gaussian Processes in the Covariance Matrix Adaptation Evolution Strategy.
ITAT
Jirí Tumpach, Jan Koza, Martin Holena
2022 J jnl
Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context.
CoRR
Zbynek Pitra, Jan Koza, Jirí Tumpach, Martin Holena
2022 B conf
Neural-network-based estimation of normal distributions in black-box optimization.
ESANN
Jirí Tumpach, Jan Koza, Martin Holena
2021 — conf
Combining Gaussian Processes and Neural Networks in Surrogate Modelling for Covariance Matrix Adaptation Evolution Strategy.
ITAT
Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena
2021 — conf
Combining Gaussian Processes with Neural Networks for Active Learning in Optimization.
IAL@PKDD/ECML
Jirí Ruzicka, Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena
2021 A conf
Interaction between model and its evolution control in surrogate-assisted CMA evolution strategy.
GECCO
Zbynek Pitra, Marek Hanus, Jan Koza, Jirí Tumpach, Martin Holena
2021 — conf
Using Past Experience for Configuration of Gaussian Processes in Black-Box Optimization.
LION
Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena
2020 — conf
Two Semi-supervised Approaches to Malware Detection with Neural Networks.
ITAT
Jan Koza, Marek Krcál, Martin Holena