| 2025 | KES | Categorical Pseudo-Labeling with Iterative Cluster Expansion. | Weronika Lazarz, Agnieszka Nowak-Brzezinska |
| 2025 | KES | Evaluating Clustering Quality in Categorical Data: A Comparative Analysis and Novel Metrics. | Weronika Lazarz, Agnieszka Nowak-Brzezinska |
| 2025 | KES | A hybrid knowledge-based machine learning approach for ticket classification in the AWS cloud. | Agnieszka Nowak-Brzezinska, Dawid Drabek |
| 2024 | ICCS | Inference Algorithm for Knowledge Bases with Rule Cluster Structure. | Agnieszka Nowak-Brzezinska, Igor Gaibei |
| 2024 | KES | Edge-based categorical clustering for data with related features. | Weronika Lazarz, Agnieszka Nowak-Brzezinska |
| 2024 | KES | Analysis of selected algorithms for detecting outliers in data. | Agnieszka Nowak-Brzezinska, Dawid Jasiak |
| 2023 | KES | Detecting outliers in rule-based knowledge bases using Self-Organizing Map and Local Outlier Factor algorithms. | Czeslaw Horyn, Agnieszka Nowak-Brzezinska |
| 2023 | KES | Comparative analysis of selected algorithms for qualitative data clustering. | Agnieszka Nowak-Brzezinska, Jakub Krlik |
| 2023 | KES | The similarity of the similarity measures in the context of clustering algorithms for categorical data. | Agnieszka Nowak-Brzezinska, Wojciech Ogieglo |
| 2022 | ACIIDS | The Quality of Clustering Data Containing Outliers. | Agnieszka Nowak-Brzezinska, Igor Gaibei |
| 2022 | ICCS | Outlier Detection for Categorial Data Using Clustering Algorithms. | Agnieszka Nowak-Brzezinska, Weronika Lazarz |
| 2022 | KES | Self-Organizing Map algorithm as a tool for outlier detection. | Agnieszka Nowak-Brzezinska, Czeslaw Horyn |
| 2021 | KES | Outliers in Covid 19 data based on Rule representation - the analysis of LOF algorithm. | Agnieszka Nowak-Brzezinska, Czeslaw Horyn |
| 2020 | KES | Outliers in rules - the comparision of LOF, COF and KMEANS algorithms. | Agnieszka Nowak-Brzezinska, Czeslaw Horyn |
| 2018 | ICCCI | Methods of Rule Clusters' Representation in Domain Knowledge Bases. | Agnieszka Nowak-Brzezinska |
| 2018 | ICCCI | Experimental Implementation of Web-Based Knowledge Base Verification Module. | Roman Siminski, Agnieszka Nowak-Brzezinska, Michal Siminski |
| 2018 | ICCCI | Different Methods for Cluster's Representation and Their Impact on the Effectiveness of Searching Through Such a Structure. | Tomasz Xieski, Agnieszka Nowak-Brzezinska |
| 2017 | ICCCI | Knowledge Exploration in Medical Rule-Based Knowledge Bases. | Agnieszka Nowak-Brzezinska, Tomasz Rybotycki, Roman Siminski, Malgorzata Przybyla-Kasperek |
| 2017 | ICCCI | Decision Fusion Methods in a Dispersed Decision System - A Comparison on Medical Data. | Malgorzata Przybyla-Kasperek, Agnieszka Nowak-Brzezinska, Roman Siminski |
| 2017 | INISTA | Comparison of similarity measures in context of rules clustering. | Agnieszka Nowak-Brzezinska, Tomasz Rybotycki |
| 2017 | INISTA | Outlier mining in rule-based knowledge bases. | Agnieszka Nowak-Brzezinska |
| 2016 | ICCCI | Mining Medical Knowledge Bases. | Agnieszka Nowak-Brzezinska, Tomasz Rybotycki, Roman Siminski, Malgorzata Przybyla-Kasperek |
| 2016 | ICCCI | Intersection Method, Union Method, Product Rule and Weighted Average Method in a Dispersed Decision-Making System - a Comparative Study on Medical Data. | Malgorzata Przybyla-Kasperek, Agnieszka Nowak-Brzezinska |
| 2016 | ICCCI | KBExplorator and KBExpertLib as the Tools for Building Medical Decision Support Systems. | Roman Siminski, Agnieszka Nowak-Brzezinska |
| 2014 | KES | Exploratory Clustering and Visualization. | Agnieszka Nowak-Brzezinska, Tomasz Xieski |