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Danuta Zakrzewska
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2020 – today
- 2020
- [c24]Krzysztof Myszkorowski
, Danuta Zakrzewska
:
Using Interval-Valued Fuzzy Sets for Recommending Groups in E-Learning Systems. ICCCI 2020: 84-96
2010 – 2019
- 2019
- [c23]Kinga Glinka, Agnieszka Wosiak
, Danuta Zakrzewska:
Exploiting Label Interdependencies in Multi-label Classification. CORES 2019: 57-66 - 2018
- [j6]Agnieszka Wosiak
, Kinga Glinka, Danuta Zakrzewska
:
Multi-label classification methods for improving comorbidities identification. Comput. Biol. Medicine 100: 279-288 (2018) - [j5]Agnieszka Wosiak
, Danuta Zakrzewska
:
Integrating Correlation-Based Feature Selection and Clustering for Improved Cardiovascular Disease Diagnosis. Complex. 2018: 2520706:1-2520706:11 (2018) - [c22]Rafal Wozniak
, Danuta Zakrzewska
:
Graph Representation and Semi-clustering Approach for Label Space Reduction in Multi-label Classification of Documents. ISCIS 2018: 121-129 - 2017
- [c21]Agnieszka Wosiak
, Danuta Zakrzewska
:
Unsupervised feature selection using reversed correlation for improved medical diagnosis. INISTA 2017: 18-22 - [c20]Kinga Glinka, Rafal Wozniak, Danuta Zakrzewska
:
Improving Multi-label Medical Text Classification by Feature Selection. WETICE 2017: 176-181 - 2016
- [c19]Kinga Glinka, Agnieszka Wosiak
, Danuta Zakrzewska
:
Improving Children Diagnostics by Efficient Multi-label Classification Method. ITIB (1) 2016: 253-266 - [c18]Kinga Glinka, Danuta Zakrzewska
:
Multi-label Classification with Label Correlations of Multimedia Datasets. MISSI 2016: 49-59 - 2015
- [c17]Agnieszka Wosiak
, Danuta Zakrzewska
:
On integrating clustering and statistical analysis for supporting cardiovascular disease diagnosis. FedCSIS 2015: 303-310 - [c16]Kinga Glinka, Danuta Zakrzewska
:
Effective Multi-label Classification Method for Multidimensional Datasets. FQAS 2015: 127-138 - [c15]Krzysztof Myszkorowski
, Danuta Zakrzewska
:
Fuzzy Logic Based Modeling for Building Contextual Student Group Recommendations. ICCCI (2) 2015: 441-450 - [c14]Rafal Moscinski, Danuta Zakrzewska
:
Building an Efficient Evolutionary Algorithm for Forex Market Predictions. IDEAL 2015: 352-360 - 2014
- [c13]Agnieszka Wosiak
, Danuta Zakrzewska
:
Feature Selection for Classification Incorporating Less Meaningful Attributes in Medical Diagnostics. FedCSIS 2014: 235-240 - [c12]Lukasz Chomatek
, Danuta Zakrzewska
:
Search Space Reduction in the Combinatorial Multi-agent Genetic Algorithms. IEEE Conf. on Intelligent Systems (1) 2014: 461-472 - [c11]Agnieszka Duraj
, Danuta Zakrzewska
:
Effective Outlier Detection Technique with Adaptive Choice of Input Parameters. IEEE Conf. on Intelligent Systems (1) 2014: 535-546 - [c10]Krzysztof Myszkorowski
, Danuta Zakrzewska
:
Building Contextual Student Group Recommendations with Fuzzy Logic. RSCTC 2014: 358-365 - 2013
- [c9]Danuta Zakrzewska
:
Validation of Clustering Techniques for User Group Modeling. CORES 2013: 723-732 - [c8]Krzysztof Myszkorowski
, Danuta Zakrzewska
:
Using Fuzzy Logic for Recommending Groups in E-Learning Systems. ICCCI 2013: 671-680 - 2012
- [j4]Danuta Zakrzewska:
Validation of Clustering Techniques for Student Grouping in Intelligent E-learning Systems. Int. J. Organ. Collect. Intell. 3(4): 19-38 (2012) - [j3]Danuta Zakrzewska:
Building Group Recommendations in E-Learning Systems. Trans. Comput. Collect. Intell. 7: 144-163 (2012) - 2011
- [c7]Danuta Zakrzewska
:
Building Context-Aware Group Recommendations in E-Learning Systems. ICCCI (1) 2011: 132-141 - 2010
- [c6]Danuta Zakrzewska
:
Building Group Recommendations in E-Learning Systems. KES-AMSTA (1) 2010: 391-400 - [c5]Danuta Zakrzewska
:
Student Groups Modeling by Integrating Cluster Representation and Association Rules Mining. SOFSEM 2010: 743-754
2000 – 2009
- 2009
- [p1]Danuta Zakrzewska
:
Cluster Analysis in Personalized E-Learning Systems. Intelligent Systems for Knowledge Management 2009: 229-250 - 2008
- [c4]Danuta Zakrzewska
:
Cluster Analysis for Users' Modeling in Intelligent E-Learning Systems. IEA/AIE 2008: 209-214 - [c3]Anna Jurek, Danuta Zakrzewska
:
Improving Naïve Bayes models of insurance risk by unsupervised classification. IMCSIT 2008: 137-144 - [c2]Danuta Zakrzewska:
Using Clustering Technique for Students' Grouping in Intelligent E-Learning Systems. USAB 2008: 403-410 - 2007
- [j2]Danuta Zakrzewska, Justyna Kapka:
Data mining techniques for portal participants profiling. Ann. UMCS Informatica 7(1): 153-161 (2007) - 2006
- [j1]Danuta Zakrzewska, Katarzyna Mataska:
Automatic Keyphrase Extraction. Ann. UMCS Informatica 5(1): 101-111 (2006) - 2005
- [c1]Danuta Zakrzewska
, Jan Murlewski:
Clustering Algorithms for Bank Customer Segmentation. ISDA 2005: 197-202
Coauthor Index
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