Wojciech Ksiazek

According to our database, Wojciech Ksiazek authored at least 11 papers between 2019 and 2026.

Collaborative distances:

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

2026

Version [2.0.0] - [DetPy (Differential evolution tools): A python toolbox for solving optimization problems using differential evolution].

Konrad Gron, Damian Golonka, Wojciech Ksiazek

SoftwareX, 2026

Leveraging Large Language Models for advanced static code analysis: Assessing the feasibility of AI superseding traditional vulnerability detection methods.

Damian Koterba, Maryna Lukaczyk, Wojciech Ksiazek

Inf. Softw. Technol., 2026

2025

DetPy (Differential Evolution Tools): A Python toolbox for solving optimization problems using differential evolution.

Blazej Zielinski, Szymon Sciegienny, Hubert Orlicki, Wojciech Ksiazek

SoftwareX, 2025

GLCM and Genetic Algorithms for Automated Diabetic Retinopathy Prediction Based on Retinal Images.

Michal Gandor, Wojciech Ksiazek

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

2024

Multi-Criteria Evaluation of Floating Photovoltaics Considering a Strong Sustainability Paradigm Regarding Sustainable Solutions.

Aleksandra Baczkiewicz, Jaroslaw Watróbski, Anna Shkurina, Wojciech Ksiazek

Proceedings of the Emerging Challenges in Intelligent Management Information Systems - Proceedings of 27th European Conference on Artificial Intelligence ECAI 2024, 2024

2021

Transmission Quality Classification with Use of Fusion of Neural Network and Genetic Algorithm in Pay&Require Multi-Agent Managed Network.

Dariusz Zelasko, Wojciech Ksiazek, Pawel Plawiak

Sensors, 2021

Hyperspectral Classification of Blood-Like Substances Using Machine Learning Methods Combined with Genetic Algorithms in Transductive and Inductive Scenarios.

Filip Palka, Wojciech Ksiazek, Pawel Plawiak, Michal Romaszewski, Kamil Ksiazek

Sensors, 2021

A Novel Grid-Based Clustering Algorithm.

Artur Starczewski, Magdalena M. Scherer, Wojciech Ksiazek, Maciej Debski, Lipo Wang

J. Artif. Intell. Soft Comput. Res., 2021

Comparison of various approaches to combine logistic regression with genetic algorithms in survival prediction of hepatocellular carcinoma.

Wojciech Ksiazek, Michal Gandor, Pawel Plawiak

Comput. Biol. Medicine, 2021

2019

A novel machine learning approach for early detection of hepatocellular carcinoma patients.

Wojciech Ksiazek, Moloud Abdar, U. Rajendra Acharya, Pawel Plawiak

Cogn. Syst. Res., 2019

A new machine learning technique for an accurate diagnosis of coronary artery disease.

Moloud Abdar, Wojciech Ksiazek, U. Rajendra Acharya, Ru-San Tan, Vladimir Makarenkov, Pawel Plawiak

Comput. Methods Programs Biomed., 2019