The Efficiency of the Rules' Classification Based on the Cluster Analysis Method and Salton's Method. - Agnieszka Nowak; Alicja Wakulicz-Deja (MSRAS, 2004)

The Concept of the Hierarchical Clustering Algorithms for Rules Based Systems. - Agnieszka Nowak; Alicja Wakulicz-Deja (Intelligent Information Systems, 2005)

Towards Modular Representation of Knowledge Base. - Agnieszka Nowak; Roman Siminski; Alicja Wakulicz-Deja (Intelligent Information Systems, 2006)

The Inference Processes on Clustered Rules. - Agnieszka Nowak; Alicja Wakulicz-Deja (Intelligent Information Systems, 2006)

Optimization of Speech Recognition by Clustering of Phones. - Agnieszka Nowak; Alicja Wakulicz-Deja; Sebastian Bachlinski (Fundam. Informaticae, 2006)

From an Information System to a Decision Support System. - Alicja Wakulicz-Deja; Agnieszka Nowak (RSEISP, 2007)

From Information System to Decision Support System. - Alicja Wakulicz-Deja; Agnieszka Nowak (Trans. Rough Sets, 2008)

The Way of Rules Representation in Composited Knowledge Bases. - Agnieszka Nowak; Alicja Wakulicz-Deja (ICMMI, 2009)

Clustering of Partial Decision Rules. - Agnieszka Nowak; Beata Zielosko (ICMMI, 2009)

Towards a Practical Approach to Discover Internal Dependencies in Rule-Based Knowledge Bases. - Roman Siminski; Agnieszka Nowak-Brzezinska; Tomasz Jach; Tomasz Xieski (RSKT, 2011)

Inference Processes in Decision Support Systems with Incomplete Knowledge. - Alicja Wakulicz-Deja; Agnieszka Nowak-Brzezinska; Tomasz Jach (RSKT, 2011)

Efficiency of Complex Data Clustering. - Alicja Wakulicz-Deja; Agnieszka Nowak-Brzezinska; Tomasz Xieski (RSKT, 2011)

Application of standard algorithms of automatic signal separation in medicine. - Agnieszka Nowak (Bio Algorithms Med Syst., 2011)

Visual modeling of condition monitoring systems. - Maciej Zygmunt; Marek Budyn; Michal Orkisz; James R. Ottewill; Victor H. Jaramillo; Agnieszka Nowak (ETFA, 2012)

Knowledge Mining Approach for Optimization of Inference Processes in Rule Knowledge Bases. - Agnieszka Nowak-Brzezinska; Roman Siminski (OTM Workshops, 2012)

Outlier Mining in Rule-Based Knowledge Bases. - Agnieszka Nowak-Brzezinska (RSCTC, 2012)

Inference Processes Using Incomplete Knowledge in Decision Support Systems - Chosen Aspects. - Agnieszka Nowak-Brzezinska; Tomasz Jach; Alicja Wakulicz-Deja (RSCTC, 2012)

Density-Based Method for Clustering and Visualization of Complex Data. - Tomasz Xieski; Agnieszka Nowak-Brzezinska; Alicja Wakulicz-Deja (RSCTC, 2012)

Complex Decision Systems and Conflicts Analysis Problem. - Alicja Wakulicz-Deja; Agnieszka Nowak-Brzezinska; Malgorzata Przybyla-Kasperek (Fundam. Informaticae, 2013)

The Incompleteness Factor Method as a Support of Inference in Decision Support Systems. - Agnieszka Nowak-Brzezinska; Tomasz Jach (BDAS, 2014)

New Inference Algorithms Based on Rules Partition. - Agnieszka Nowak-Brzezinska; Roman Siminski (CS&P, 2014)

Exploratory Clustering and Visualization. - Agnieszka Nowak-Brzezinska; Tomasz Xieski (KES, 2014)

Exploration of Knowledge Bases Inspired by Rough Set Theory. - Agnieszka Nowak-Brzezinska; Alicja Wakulicz-Deja (CS&P, 2015)

Goal-Driven Inference for Web Knowledge Based System. - Roman Siminski; Agnieszka Nowak-Brzezinska (ISAT (4), 2015)

Mining Rule-Based Knowledge Bases. - Agnieszka Nowak-Brzezinska (BDAS, 2016)

Mining Medical Knowledge Bases. - Agnieszka Nowak-Brzezinska; Tomasz Rybotycki; Roman Siminski; Malgorzata Przybyla-Kasperek (ICCCI (2), 2016)

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 (ICCCI (2), 2016)

KBExplorator and KBExpertLib as the Tools for Building Medical Decision Support Systems. - Roman Siminski; Agnieszka Nowak-Brzezinska (ICCCI (2), 2016)

Mining Rule-based Knowledge Bases Inspired by Rough Set Theory. - Agnieszka Nowak-Brzezinska (Fundam. Informaticae, 2016)

Influence of Similarity Measures for Rules and Clusters on the Efficiency of Knowledge Mining in Rule-Based Knowledge Bases. - Agnieszka Nowak-Brzezinska; Tomasz Rybotycki (BDAS, 2017)

Knowledge Exploration in Medical Rule-Based Knowledge Bases. - Agnieszka Nowak-Brzezinska; Tomasz Rybotycki; Roman Siminski; Malgorzata Przybyla-Kasperek (ICCCI (2), 2017)

Decision Fusion Methods in a Dispersed Decision System - A Comparison on Medical Data. - Malgorzata Przybyla-Kasperek; Agnieszka Nowak-Brzezinska; Roman Siminski (ICCCI (2), 2017)

Comparison of similarity measures in context of rules clustering. - Agnieszka Nowak-Brzezinska; Tomasz Rybotycki (INISTA, 2017)

Methods of Rule Clusters' Representation in Domain Knowledge Bases. - Agnieszka Nowak-Brzezinska (ICCCI (2), 2018)

Experimental Implementation of Web-Based Knowledge Base Verification Module. - Roman Siminski; Agnieszka Nowak-Brzezinska; Michal Siminski (ICCCI (2), 2018)

Different Methods for Cluster's Representation and Their Impact on the Effectiveness of Searching Through Such a Structure. - Tomasz Xieski; Agnieszka Nowak-Brzezinska (ICCCI (2), 2018)

Enhancing the Efficiency of a Decision Support System through the Clustering of Complex Rule-Based Knowledge Bases and Modification of the Inference Algorithm. - Agnieszka Nowak-Brzezinska (Complex., 2018)

Feature Selection Approach for Rule-Based Knowledge Bases. - Agnieszka Nowak-Brzezinska (Advances in Feature Selection for Data and Pattern Recognition, 2018)

Exploration of rule-based knowledge bases: A knowledge engineer's support. - Agnieszka Nowak-Brzezinska; Alicja Wakulicz-Deja (Inf. Sci., 2019)

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)

Qualitative Data Clustering to Detect Outliers. - Agnieszka Nowak-Brzezinska; Weronika Lazarz (Entropy, 2021)

The Quality of Clustering Data Containing Outliers. - Agnieszka Nowak-Brzezinska; Igor Gaibei (ACIIDS (2), 2022)

Outlier Detection for Categorial Data Using Clustering Algorithms. - Agnieszka Nowak-Brzezinska; Weronika Lazarz (ICCS (3), 2022)

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

How the Outliers Influence the Quality of Clustering? - Agnieszka Nowak-Brzezinska; Igor Gaibei (Entropy, 2022)

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

Comparative analysis of selected algorithms for qualitative data clustering. - Agnieszka Nowak-Brzezinska; Jakub Królik (KES, 2023)

The similarity of the similarity measures in the context of clustering algorithms for categorical data. - Agnieszka Nowak-Brzezinska; Wojciech Ogieglo (KES, 2023)

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

Decision Rule Clustering - Comparison of the Algorithms. - Agnieszka Nowak-Brzezinska; Igor Gaibei (IJCRS, 2023)

Inference Algorithm for Knowledge Bases with Rule Cluster Structure. - Agnieszka Nowak-Brzezinska; Igor Gaibei (ICCS (3), 2024)

Detecting Outliers in Context of Clustering Imbalanced Categorical Data. - Weronika Lazarz; Agnieszka Nowak-Brzezinska (ISD, 2024)

Edge-based categorical clustering for data with related features. - Weronika Lazarz; Agnieszka Nowak-Brzezinska (KES, 2024)

Analysis of selected algorithms for detecting outliers in data. - Agnieszka Nowak-Brzezinska; Dawid Jasiak (KES, 2024)

On the Role of Summary Content Units in Text Summarization Evaluation. - Marcel Nawrath; Agnieszka Nowak; Tristan Ratz; Danilo C. Walenta; Juri Opitz; Leonardo F. R. Ribeiro; João Sedoc; Daniel Deutsch; Simon Mille; Yixin Liu 003; Sebastian Gehrmann; Lining Zhang; et al. (NAACL (Short Papers), 2024)

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