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Agnieszka Nowak-Brzezinska
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2020 – today
- 2024
- [c45]Agnieszka Nowak-Brzezinska
, Igor Gaibei
Inference Algorithm for Knowledge Bases with Rule Cluster Structure. ICCS (3) 2024: 71-78 - [c44]Weronika Lazarz, Agnieszka Nowak-Brzezinska:
Detecting Outliers in Context of Clustering Imbalanced Categorical Data. ISD 2024 - [c43]Marcel Nawrath, Agnieszka Nowak, Tristan Ratz, Danilo C. Walenta, Juri Opitz, Leonardo F. R. Ribeiro, João Sedoc, Daniel Deutsch, Simon Mille, Yixin Liu, Sebastian Gehrmann, Lining Zhang, Saad Mahamood, Miruna Clinciu, Khyathi Raghavi Chandu, Yufang Hou:
On the Role of Summary Content Units in Text Summarization Evaluation. NAACL (Short Papers) 2024: 272-281 - [i1]Marcel Nawrath, Agnieszka Nowak, Tristan Ratz, Danilo C. Walenta, Juri Opitz, Leonardo F. R. Ribeiro, João Sedoc, Daniel Deutsch, Simon Mille, Yixin Liu, Lining Zhang, Sebastian Gehrmann, Saad Mahamood, Miruna Clinciu, Khyathi Raghavi Chandu, Yufang Hou:
On the Role of Summary Content Units in Text Summarization Evaluation. CoRR abs/2404.01701 (2024) - 2023
- [c42]Czeslaw Horyn
Detecting outliers in rule-based knowledge bases using Self-Organizing Map and Local Outlier Factor algorithms. KES 2023: 2116-2125 - [c41]Agnieszka Nowak-Brzezinska, Jakub Królik:
Comparative analysis of selected algorithms for qualitative data clustering. KES 2023: 4196-4205 - [c40]Agnieszka Nowak-Brzezinska, Wojciech Ogieglo:
The similarity of the similarity measures in the context of clustering algorithms for categorical data. KES 2023: 4511-4520 - [c39]Agnieszka Nowak-Brzezinska
Decision Rule Clustering - Comparison of the Algorithms. IJCRS 2023: 387-401 - [c38]Czeslaw Horyn
Improving Detection Efficiency: Optimizing Block Size in the Local Outlier Factor (LOF) Algorithm. IJCRS 2023: 627-641 - 2022
- [j10]Agnieszka Nowak-Brzezinska
How the Outliers Influence the Quality of Clustering? Entropy 24(7): 917 (2022) - [c37]Agnieszka Nowak-Brzezinska
The Quality of Clustering Data Containing Outliers. ACIIDS (2) 2022: 89-102 - [c36]Agnieszka Nowak-Brzezinska
Outlier Detection for Categorial Data Using Clustering Algorithms. ICCS (3) 2022: 714-727 - [c35]Agnieszka Nowak-Brzezinska, Czeslaw Horyn
Self-Organizing Map algorithm as a tool for outlier detection. KES 2022: 2162-2171 - 2021
- [j9]Agnieszka Nowak-Brzezinska
Qualitative Data Clustering to Detect Outliers. Entropy 23(7): 869 (2021) - [c34]Agnieszka Nowak-Brzezinska
Outliers in Covid 19 data based on Rule representation - the analysis of LOF algorithm. KES 2021: 3010-3019 - 2020
- [j8]Agnieszka Nowak-Brzezinska
Exploration of Outliers in If-Then Rule-Based Knowledge Bases. Entropy 22(10): 1096 (2020) - [c33]Agnieszka Nowak-Brzezinska
Outliers in rules - the comparision of LOF, COF and KMEANS algorithms. KES 2020: 1420-1429
2010 – 2019
- 2019
- [j7]Agnieszka Nowak-Brzezinska
Exploration of rule-based knowledge bases: A knowledge engineer's support. Inf. Sci. 485: 301-318 (2019) - 2018
- [j6]Agnieszka Nowak-Brzezinska
Enhancing the Efficiency of a Decision Support System through the Clustering of Complex Rule-Based Knowledge Bases and Modification of the Inference Algorithm. Complex. 2018: 2065491:1-2065491:14 (2018) - [c32]Roman Siminski, Agnieszka Nowak-Brzezinska
Experimental Implementation of Web-Based Knowledge Base Verification Module. ICCCI (2) 2018: 268-278 - [c31]Agnieszka Nowak-Brzezinska
Methods of Rule Clusters' Representation in Domain Knowledge Bases. ICCCI (2) 2018: 279-289 - [c30]Tomasz Xieski
Different Methods for Cluster's Representation and Their Impact on the Effectiveness of Searching Through Such a Structure. ICCCI (2) 2018: 290-300 - [p1]Agnieszka Nowak-Brzezinska
Feature Selection Approach for Rule-Based Knowledge Bases. Advances in Feature Selection for Data and Pattern Recognition 2018: 163-182 - 2017
- [c29]Agnieszka Nowak-Brzezinska
Influence of Similarity Measures for Rules and Clusters on the Efficiency of Knowledge Mining in Rule-Based Knowledge Bases. BDAS 2017: 67-78 - [c28]Malgorzata Przybyla-Kasperek
Decision Fusion Methods in a Dispersed Decision System - A Comparison on Medical Data. ICCCI (2) 2017: 139-149 - [c27]Agnieszka Nowak-Brzezinska
Knowledge Exploration in Medical Rule-Based Knowledge Bases. ICCCI (2) 2017: 150-160 - [c26]Agnieszka Nowak-Brzezinska
Comparison of similarity measures in context of rules clustering. INISTA 2017: 235-240 - [c25]Agnieszka Nowak-Brzezinska
Outlier mining in rule-based knowledge bases. INISTA 2017: 391-396 - 2016
- [j5]Agnieszka Nowak-Brzezinska
Mining Rule-based Knowledge Bases Inspired by Rough Set Theory. Fundam. Informaticae 148(1-2): 35-50 (2016) - [c24]Agnieszka Nowak-Brzezinska
Mining Rule-Based Knowledge Bases. BDAS 2016: 94-108 - [c23]Malgorzata Przybyla-Kasperek
Intersection Method, Union Method, Product Rule and Weighted Average Method in a Dispersed Decision-Making System - a Comparative Study on Medical Data. ICCCI (2) 2016: 451-461 - [c22]Agnieszka Nowak-Brzezinska
Mining Medical Knowledge Bases. ICCCI (2) 2016: 472-481 - [c21]Roman Siminski, Agnieszka Nowak-Brzezinska
KBExplorator and KBExpertLib as the Tools for Building Medical Decision Support Systems. ICCCI (2) 2016: 494-503 - 2015
- [c20]Agnieszka Nowak-Brzezinska, Alicja Wakulicz-Deja:
Exploration of Knowledge Bases Inspired by Rough Set Theory. CS&P 2015: 64-75 - [c19]Roman Siminski, Agnieszka Nowak-Brzezinska
Goal-Driven Inference for Web Knowledge Based System. ISAT (4) 2015: 99-109 - 2014
- [c18]Agnieszka Nowak-Brzezinska
The Incompleteness Factor Method as a Support of Inference in Decision Support Systems. BDAS 2014: 201-210 - [c17]Agnieszka Nowak-Brzezinska, Roman Siminski:
New Inference Algorithms Based on Rules Partition. CS&P 2014: 164-175 - [c16]Agnieszka Nowak-Brzezinska
Exploratory Clustering and Visualization. KES 2014: 1082-1091 - 2013
- [j4]Alicja Wakulicz-Deja, Agnieszka Nowak-Brzezinska
Complex Decision Systems and Conflicts Analysis Problem. Fundam. Informaticae 127(1-4): 341-356 (2013) - 2012
- [c15]Maciej Zygmunt
Visual modeling of condition monitoring systems. ETFA 2012: 1-4 - [c14]Agnieszka Nowak-Brzezinska
Knowledge Mining Approach for Optimization of Inference Processes in Rule Knowledge Bases. OTM Workshops 2012: 534-537 - [c13]Tomasz Xieski, Agnieszka Nowak-Brzezinska, Alicja Wakulicz-Deja:
Density-Based Method for Clustering and Visualization of Complex Data. RSCTC 2012: 142-149 - [c12]Agnieszka Nowak-Brzezinska, Tomasz Jach, Alicja Wakulicz-Deja:
Inference Processes Using Incomplete Knowledge in Decision Support Systems - Chosen Aspects. RSCTC 2012: 150-155 - [c11]Agnieszka Nowak-Brzezinska:
Outlier Mining in Rule-Based Knowledge Bases. RSCTC 2012: 206-211 - 2011
- [j3]Agnieszka Nowak:
Application of standard algorithms of automatic signal separation in medicine. Bio Algorithms Med Syst. 7(4): 29-40 (2011) - [c10]Roman Siminski, Agnieszka Nowak-Brzezinska
Towards a Practical Approach to Discover Internal Dependencies in Rule-Based Knowledge Bases. RSKT 2011: 232-237 - [c9]Alicja Wakulicz-Deja, Agnieszka Nowak-Brzezinska
Inference Processes in Decision Support Systems with Incomplete Knowledge. RSKT 2011: 616-625 - [c8]Alicja Wakulicz-Deja, Agnieszka Nowak-Brzezinska
Efficiency of Complex Data Clustering. RSKT 2011: 636-641
2000 – 2009
- 2009
- [c7]Agnieszka Nowak, Alicja Wakulicz-Deja:
The Way of Rules Representation in Composited Knowledge Bases. ICMMI 2009: 175-182 - [c6]Agnieszka Nowak, Beata Zielosko:
Clustering of Partial Decision Rules. ICMMI 2009: 183-190 - 2008
- [j2]Alicja Wakulicz-Deja, Agnieszka Nowak:
From Information System to Decision Support System. Trans. Rough Sets 9: 379-404 (2008) - 2007
- [c5]Alicja Wakulicz-Deja, Agnieszka Nowak:
From an Information System to a Decision Support System. RSEISP 2007: 454-464 - 2006
- [j1]Agnieszka Nowak, Alicja Wakulicz-Deja, Sebastian Bachlinski:
Optimization of Speech Recognition by Clustering of Phones. Fundam. Informaticae 72(1-3): 283-293 (2006) - [c4]Agnieszka Nowak, Alicja Wakulicz-Deja:
The Inference Processes on Clustered Rules. Intelligent Information Systems 2006: 403-411 - [c3]Agnieszka Nowak, Roman Siminski, Alicja Wakulicz-Deja:
Towards Modular Representation of Knowledge Base. Intelligent Information Systems 2006: 421-428 - 2005
- [c2]Agnieszka Nowak, Alicja Wakulicz-Deja:
The Concept of the Hierarchical Clustering Algorithms for Rules Based Systems. Intelligent Information Systems 2005: 565-570 - 2004
- [c1]Agnieszka Nowak, Alicja Wakulicz-Deja:
The Efficiency of the Rules' Classification Based on the Cluster Analysis Method and Salton's Method. MSRAS 2004: 333-338
Coauthor Index
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last updated on 2024-11-20 21:01 CET by the dblp team
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