Danuta Zakrzewska

Proceedings of the Computational Collective Intelligence - 12th International Conference, 2020

2019

Exploiting Label Interdependencies in Multi-label Classification.

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[DOI]

Proceedings of the Progress in Computer Recognition Systems, 2019

2018

Integrating Correlation-Based Feature Selection and Clustering for Improved Cardiovascular Disease Diagnosis.

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[DOI]

Complex., 2018

Multi-label classification methods for improving comorbidities identification.

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[DOI]

Comput. Biol. Medicine, 2018

Graph Representation and Semi-clustering Approach for Label Space Reduction in Multi-label Classification of Documents.

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[DOI]

Rafal Wozniak

Proceedings of the Computer and Information Sciences - 32nd International Symposium, 2018

2017

Improving Multi-label Medical Text Classification by Feature Selection.

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[DOI]

Rafal Wozniak

Proceedings of the 26th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2017

Unsupervised feature selection using reversed correlation for improved medical diagnosis.

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[DOI]

Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017

2016

Multi-label Classification with Label Correlations of Multimedia Datasets.

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[DOI]

Proceedings of the Multimedia and Network Information Systems, 2016

Improving Children Diagnostics by Efficient Multi-label Classification Method.

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[DOI]

Proceedings of the Information Technologies in Medicine - 5th International Conference, 2016

2015

Building an Efficient Evolutionary Algorithm for Forex Market Predictions.

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[DOI]

Rafal Moscinski

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

Fuzzy Logic Based Modeling for Building Contextual Student Group Recommendations.

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[DOI]

Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015

Effective Multi-label Classification Method for Multidimensional Datasets.

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[DOI]

Proceedings of the Flexible Query Answering Systems 2015, 2015

On integrating clustering and statistical analysis for supporting cardiovascular disease diagnosis.

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Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, 2015

2014

Building Contextual Student Group Recommendations with Fuzzy Logic.

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[DOI]

Proceedings of the Rough Sets and Current Trends in Computing, 2014

Effective Outlier Detection Technique with Adaptive Choice of Input Parameters.

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[DOI]

Agnieszka Duraj

Proceedings of the Intelligent Systems'2014, 2014

Search Space Reduction in the Combinatorial Multi-agent Genetic Algorithms.

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[DOI]

Lukasz Chomatek

Proceedings of the Intelligent Systems'2014, 2014

Feature Selection for Classification Incorporating Less Meaningful Attributes in Medical Diagnostics.

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[DOI]

Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, 2014

2013

Using Fuzzy Logic for Recommending Groups in E-Learning Systems.

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[DOI]

Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2013

Validation of Clustering Techniques for User Group Modeling.

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[DOI]

Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

2012

Building Group Recommendations in E-Learning Systems.

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[DOI]

Trans. Comput. Collect. Intell., 2012

Validation of Clustering Techniques for Student Grouping in Intelligent E-learning Systems.

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[DOI]

Int. J. Organ. Collect. Intell., 2012

2011

Building Context-Aware Group Recommendations in E-Learning Systems.

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[DOI]

Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2011

2010

Student Groups Modeling by Integrating Cluster Representation and Association Rules Mining.

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[DOI]

Proceedings of the SOFSEM 2010: Theory and Practice of Computer Science, 2010

2009

Cluster Analysis in Personalized E-Learning Systems.

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[DOI]

Proceedings of the Natural Intelligence for Scheduling, Planning and Packing Problems, 2009

2008

Using Clustering Technique for Students' Grouping in Intelligent E-Learning Systems.

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[DOI]

Proceedings of the HCI and Usability for Education and Work, 2008

Improving Naïve Bayes models of insurance risk by unsupervised classification.

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[DOI]

Anna Jurek

Proceedings of the International Multiconference on Computer Science and Information Technology, 2008

Cluster Analysis for Users' Modeling in Intelligent E-Learning Systems.

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[DOI]

Proceedings of the New Frontiers in Applied Artificial Intelligence, 2008

2007

Data mining techniques for portal participants profiling.

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[DOI]

Justyna Kapka

Ann. UMCS Informatica, 2007

2006

Automatic Keyphrase Extraction.

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[DOI]

Katarzyna Mataska

Ann. UMCS Informatica, 2006

2005

Clustering Algorithms for Bank Customer Segmentation.

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