A Committee of Convolutional Neural Networks for Image Classification in the Concurrent Presence of Feature and Label Noise. - Stanislaw Kazmierczak; Jacek Mandziuk (PPSN (1), 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)

Prediction of the Facial Growth Direction is Challenging. - Stanislaw Kazmierczak; Zofia Juszka; Vaska Vandevska-Radunovic; Thomas J. J. Maal; Piotr Fudalej; Jacek Mandziuk (ICONIP (6), 2021)

Prediction of the facial growth direction with Machine Learning methods. - Stanislaw Kazmierczak; Zofia Juszka; Piotr Fudalej; Jacek Mandziuk (CoRR, 2021)

Identification of Encrypted Images Based on Image Statistics. - Stanislaw Kazmierczak (IEEE Big Data, 2022)

Prediction of the Costs of Forwarding Contracts with Machine Learning Methods. - Stanislaw Kazmierczak (FedCSIS, 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 (ICONIP (7), 2022)

Evaluation of machine learning methods for impostor detection in web applications. - Maciej Grzenda; Stanislaw Kazmierczak; Marcin Luckner; Grzegorz Borowik; Jacek Mandziuk (Expert Syst. Appl., 2023)

Explainable Recognition System for Computer-Modified Face Photos. - Adrian Kaminski; Karol Degórski; Stanislaw Kazmierczak; Jacek Mandziuk (ICAISC (2), 2024)

Identification of Mislabelled Images with Data Augmentation. - Jakub Koziel; Patryk Tomaszewski; Stanislaw Kazmierczak; Jacek Mandziuk (ICAISC (2), 2024)

Bootstrap Sampling Rate Greater than 1.0 May Improve Random Forest Performance. - Stanislaw Kazmierczak; Jacek Mandziuk (CoRR, 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)