Jan Koza

According to our database, Jan Koza authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Suitability of Modern Neural Networks for Active and Transfer Learning in Surrogate-Assisted Black-Box Optimization.

Martin Holena, Jan Koza

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), 2024

2023

Improving Optimization with Gaussian Processes in the Covariance Matrix Adaptation Evolution Strategy.

Jirí Tumpach, Jan Koza, Martin Holena

Proceedings of the 23rd Conference Information Technologies, 2023

2022

Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context.

Zbynek Pitra, Jan Koza, Jirí Tumpach, Martin Holena

CoRR, 2022

Neural-network-based estimation of normal distributions in black-box optimization.

Jirí Tumpach, Jan Koza, Martin Holena

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

Combining Gaussian Processes with Neural Networks for Active Learning in Optimization.

Jirí Ruzicka, Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena

Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

Using Past Experience for Configuration of Gaussian Processes in Black-Box Optimization.

Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena

Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021

Combining Gaussian Processes and Neural Networks in Surrogate Modelling for Covariance Matrix Adaptation Evolution Strategy.

Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena

Proceedings of the 21st Conference Information Technologies, 2021

Interaction between model and its evolution control in surrogate-assisted CMA evolution strategy.

Zbynek Pitra, Marek Hanus, Jan Koza, Jirí Tumpach, Martin Holena

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Two Semi-supervised Approaches to Malware Detection with Neural Networks.

Jan Koza, Marek Krcál, Martin Holena

Proceedings of the 20th Conference Information Technologies, 2020