Neural Network Used for the Fusion of Predictions Obtained by the K-Nearest Neighbors Algorithm Based on Independent Data Sources. - Malgorzata Przybyla-Kasperek; Kwabena Frimpong Marfo (Entropy, 2021)

Influence of Noise and Data Characteristics on Classification Quality of Dispersed Data Using Neural Networks on the Fusion of Predictions. - Malgorzata Przybyla-Kasperek; Kwabena Frimpong Marfo (ISD, 2022)

Radial basis function network for aggregating predictions of k-nearest neighbors local models generated based on independent data sets. - Kwabena Frimpong Marfo; Malgorzata Przybyla-Kasperek (KES, 2022)

Radial Basis Function Neural Network with a Centers Training Stage for Prediction Based on Dispersed Image Data. - Kwabena Frimpong Marfo; Malgorzata Przybyla-Kasperek (ICCS (4), 2023)

Study on the Use of Artificially Generated Objects in the Process of Training MLP Neural Networks Based on Dispersed Data. - Kwabena Frimpong Marfo; Malgorzata Przybyla-Kasperek (Entropy, 2023)

Exploring the Impact of Object Diversity on Classification Quality in Dispersed Data Environments. - Kwabena Frimpong Marfo; Malgorzata Przybyla-Kasperek (ACIIDS (2), 2024)

Fragmented Image Classification Using Local and Global Neural Networks: Investigating the Impact of the Quantity of Artificial Objects on Model Performance. - Kwabena Frimpong Marfo; Malgorzata Przybyla-Kasperek; Piotr Sulikowski (ICCS (7), 2024)