Outliers in rules - the comparision of LOF, COF and KMEANS algorithms. - Agnieszka Nowak-Brzezinska; Czeslaw Horyn (KES, 2020)

Exploration of Outliers in If-Then Rule-Based Knowledge Bases. - Agnieszka Nowak-Brzezinska; Czeslaw Horyn (Entropy, 2020)

Outliers in Covid 19 data based on Rule representation - the analysis of LOF algorithm. - Agnieszka Nowak-Brzezinska; Czeslaw Horyn (KES, 2021)

Self-Organizing Map algorithm as a tool for outlier detection. - Agnieszka Nowak-Brzezinska; Czeslaw Horyn (KES, 2022)

Detecting outliers in rule-based knowledge bases using Self-Organizing Map and Local Outlier Factor algorithms. - Czeslaw Horyn; Agnieszka Nowak-Brzezinska (KES, 2023)

Improving Detection Efficiency: Optimizing Block Size in the Local Outlier Factor (LOF) Algorithm. - Czeslaw Horyn; Agnieszka Nowak-Brzezinska (IJCRS, 2023)

Automatic block size optimization in the LOF algorithm for efficient anomaly detection. - Czeslaw Horyn; Agnieszka Nowak-Brzezinska (Appl. Soft Comput., 2025)