Stanislaw Kazmierczak

According to our database, Stanislaw Kazmierczak authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

Predicting optical parameters of nanostructured optical fibers using machine learning algorithms.

Stanislaw Kazmierczak, Rafal Kasztelanic, Ryszard Buczynski, Jacek Mandziuk

Eng. Appl. Artif. Intell., 2024

Bootstrap Sampling Rate Greater than 1.0 May Improve Random Forest Performance.

Stanislaw Kazmierczak, Jacek Mandziuk

CoRR, 2024

2023

Evaluation of machine learning methods for impostor detection in web applications.

Maciej Grzenda, Stanislaw Kazmierczak, Marcin Luckner, Grzegorz Borowik, Jacek Mandziuk

Expert Syst. Appl., November, 2023

2022

Prediction of the Facial Growth Direction: Regression Perspective.

Stanislaw Kazmierczak, Zofia Juszka, Rafal Wojciech Grzeszczuk, Marcin Kurdziel, Vaska Vandevska-Radunovic, Piotr Fudalej, Jacek Mandziuk

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Prediction of the Costs of Forwarding Contracts with Machine Learning Methods.

Stanislaw Kazmierczak

Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

Identification of Encrypted Images Based on Image Statistics.

Stanislaw Kazmierczak

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Prediction of the facial growth direction with Machine Learning methods.

Stanislaw Kazmierczak, Zofia Juszka, Piotr Fudalej, Jacek Mandziuk

CoRR, 2021

Prediction of the Facial Growth Direction is Challenging.

Stanislaw Kazmierczak, Zofia Juszka, Vaska Vandevska-Radunovic, Thomas J. J. Maal, Piotr Fudalej, Jacek Mandziuk

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

A Committee of Convolutional Neural Networks for Image Classication in the Concurrent Presence of Feature and Label Noise.

Stanislaw Kazmierczak, Jacek Mandziuk

CoRR, 2020

A Committee of Convolutional Neural Networks for Image Classification in the Concurrent Presence of Feature and Label Noise.

Stanislaw Kazmierczak, Jacek Mandziuk

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020