Melánia Puskás

According to our database, Melánia Puskás authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

2024

Noise Reduction with Wavelet Transform for Clustering Time Series of Tumor Volumes.

Lilla Kisbenedek, Melánia Puskás, Borbála Gergics, Levente Kovács, Dániel András Drexler

Proceedings of the 18th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2024

A Review of Multi-Objective Optimization Algorithms in the Field of Chemotherapy Optimization.

Martin Ferenc Dömény, Melánia Puskás, Levente Kovács, Dániel András Drexler

Proceedings of the 18th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2024

2023

Clustering-Based Parameter Estimation of a Tumor Model.

Lilla Kisbenedek, Melánia Puskás, Levente Kovács, Dániel András Drexler

Proceedings of the 21st IEEE Jubilee International Symposium on Intelligent Systems and Informatics, 2023

Population-Based Chemotherapy Optimization Using Genetic Algorithm.

Martin Ferenc Dömény, Melánia Puskás, Levente Kovács, Dániel András Drexler

Proceedings of the 21st IEEE Jubilee International Symposium on Intelligent Systems and Informatics, 2023

Model predictive fuzzy control in chemotherapy optimization.

Tamás Dániel Szücs, Melánia Puskás, Dániel András Drexler, Levente Kovács

Proceedings of the 17th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2023

Indirect supervised fine-tuning of a tumor model parameter estimator neural network.

Lilla Kisbenedek, Melánia Puskás, Levente Kovács, Dániel András Drexler

Proceedings of the 17th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2023

In silico chemotherapy optimization with genetic algorithm.

Martin Ferenc Dömény, Melánia Puskás, Levente Kovács, Dániel András Drexler

Proceedings of the 17th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2023

2022

Parameter estimation from realistic experiment scenario using artificial neural networks.

Melánia Puskás, Borbála Gergics, Alexander Ládi, Dániel András Drexler

Proceedings of the 16th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2022

2021

Tumor model parameter estimation for therapy optimization using artificial neural networks.

Melánia Puskás, Dániel András Drexler

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021