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Urszula Stanczyk
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2020 – today
- 2024
- [j6]Urszula Stanczyk, Beata Zielosko, Grzegorz Baron:
Importance of Characteristic Features and Their Form for Data Exploration. Entropy 26(5): 404 (2024) - 2023
- [c38]Beata Zielosko, Urszula Stanczyk, Kamil Jablonski:
Filtering Decision Rules Driven by Sequential Forward and Backward Selection of Attributes: An Illustrative Example in Stylometric Domain. FedCSIS 2023: 833-842 - [c37]Urszula Stanczyk, Beata Zielosko, Grzegorz Baron:
Attribute Relevance and Discretisation in Knowledge Discovery: A Study in Stylometric Domain. ICCS (2) 2023: 273-281 - [c36]Urszula Stanczyk, Beata Zielosko, Grzegorz Baron:
Going Deeper than Supervised Discretisation in Processing of Stylometric Features. ISD 2023 - [c35]Urszula Stanczyk, Grzegorz Baron:
Should supervised discretisation always be trusted unreservedly? On combining characteristics of supervised and unsupervised discretisation algorithms in two-step processing. KES 2023: 2136-2145 - [c34]Urszula Stanczyk:
How transformations of representation for input data can affect the properties of induced decision reducts and rules. KES 2023: 3603-3612 - 2022
- [j5]Urszula Stanczyk:
Pruning Decision Rules by Reduct-Based Weighting and Ranking of Features. Entropy 24(11): 1602 (2022) - [c33]Urszula Stanczyk:
Evaluation of importance for condition attributes based on quality of decision reducts. KES 2022: 2144-2153 - [c32]Urszula Stanczyk, Grzegorz Baron:
On heterogeneity or sub-classes aspect in construction of stylometric input datasets. KES 2022: 2526-2535 - [c31]Beata Zielosko, Urszula Stanczyk, Krzysztof Zabinski:
Ranking of attributes - comparative study based on data from stylometric domain. KES 2022: 2737-2746 - [p8]Urszula Stanczyk:
Application of Rough Set-Based Characterisation of Attributes in Feature Selection and Reduction. Advances in Selected Artificial Intelligence Areas 2022: 35-55 - 2021
- [c30]Grzegorz Baron, Urszula Stanczyk:
Standard vs. non-standard cross-validation: evaluation of performance in a space with structured distribution of datapoints. KES 2021: 1245-1254 - [c29]Urszula Stanczyk:
Weighting factor for attributes based on reduct cardinality. KES 2021: 1255-1264 - [c28]Beata Zielosko, Urszula Stanczyk:
Condition attributes, properties of decision rules, and discretisation: Analysis of relations and dependencies. KES 2021: 3922-3931 - 2020
- [j4]Urszula Stanczyk, Beata Zielosko:
Heuristic-based feature selection for rough set approach. Int. J. Approx. Reason. 125: 187-202 (2020) - [c27]Beata Zielosko, Urszula Stanczyk:
Reduct-based ranking of attributes. KES 2020: 2576-2585 - [c26]Urszula Stanczyk, Beata Zielosko:
Assessing quality of decision reducts. KES 2020: 3273-3282 - [c25]Grzegorz Baron, Urszula Stanczyk:
Performance evaluation for ranking-based discretisation. KES 2020: 3335-3344
2010 – 2019
- 2019
- [c24]Urszula Stanczyk:
On Unsupervised and Supervised Discretisation in Mining Stylometric Features. ICMMI 2019: 156-166 - [c23]Urszula Stanczyk, Beata Zielosko:
On Approaches to Discretisation of Stylometric Data and Conflict Resolution in Decision Making. KES 2019: 1811-1820 - [p7]Urszula Stanczyk:
Weighting Attributes and Decision Rules Through Rankings and Discretisation Parameters. Machine Learning Paradigms 2019: 25-43 - 2018
- [c22]Urszula Stanczyk, Beata Zielosko, Krzysztof Zabinski:
Application of Greedy Heuristics for Feature Characterisation and Selection: A Case Study in Stylometric Domain. IJCSR 2018: 350-362 - [p6]Urszula Stanczyk, Beata Zielosko, Lakhmi C. Jain:
Advances in Feature Selection for Data and Pattern Recognition: An Introduction. Advances in Feature Selection for Data and Pattern Recognition 2018: 1-9 - [p5]Urszula Stanczyk:
Ranking-Based Rule Classifier Optimisation. Advances in Feature Selection for Data and Pattern Recognition 2018: 113-131 - [e4]Urszula Stanczyk, Beata Zielosko, Lakhmi C. Jain:
Advances in Feature Selection for Data and Pattern Recognition. Intelligent Systems Reference Library 138, Springer 2018, ISBN 978-3-319-67587-9 [contents] - 2017
- [c21]Urszula Stanczyk:
Filtering Decision Rules with Continuous Attributes Governed by Discretisation. ISMIS 2017: 333-343 - [c20]Urszula Stanczyk:
Evaluating Importance for Numbers of Bins in Discretised Learning and Test Sets. KES-IDT (1) 2017: 159-169 - [c19]Urszula Stanczyk, Beata Zielosko:
On Combining Discretisation Parameters and Attribute Ranking for Selection of Decision Rules. IJCRS (1) 2017: 329-349 - 2016
- [c18]Urszula Stanczyk:
Weighting and Pruning of Decision Rules by Attributes and Attribute Rankings. ISCIS 2016: 106-114 - [c17]Urszula Stanczyk:
Measuring Quality of Decision Rules Through Ranking of Conditional Attributes. KES-IDT (1) 2016: 269-279 - 2015
- [j3]Urszula Stanczyk:
Selection of decision rules based on attribute ranking. J. Intell. Fuzzy Syst. 29(2): 899-915 (2015) - [j2]Urszula Stanczyk:
Ranking of characteristic features in combined wrapper approaches to selection. Neural Comput. Appl. 26(2): 329-344 (2015) - [c16]Urszula Stanczyk:
The Class Imbalance Problem in Construction of Training Datasets for Authorship Attribution. ICMMI 2015: 535-547 - [p4]Urszula Stanczyk, Lakhmi C. Jain:
Feature Selection for Data and Pattern Recognition: An Introduction. Feature Selection for Data and Pattern Recognition 2015: 1-7 - [p3]Urszula Stanczyk:
Feature Evaluation by Filter, Wrapper, and Embedded Approaches. Feature Selection for Data and Pattern Recognition 2015: 29-44 - [p2]Urszula Stanczyk:
Weighting of Features by Sequential Selection. Feature Selection for Data and Pattern Recognition 2015: 71-90 - [e3]Urszula Stanczyk, Lakhmi C. Jain:
Feature Selection for Data and Pattern Recognition. Studies in Computational Intelligence 584, Springer 2015, ISBN 978-3-662-45619-4 [contents] - 2014
- [c15]Urszula Stanczyk:
RELIEF-based Selection of Decision Rules. KES 2014: 299-308 - [c14]Urszula Stanczyk:
Attribute Ranking Driven Filtering of Decision Rules. RSEISP 2014: 217-224 - 2013
- [j1]Urszula Stanczyk:
Decision rule length as a basis for evaluation of attribute relevance. J. Intell. Fuzzy Syst. 24(3): 429-445 (2013) - [c13]Urszula Stanczyk:
Relative Reduct-Based Estimation of Relevance for Stylometric Features. ADBIS 2013: 135-147 - [c12]Urszula Stanczyk:
Establishing Relevance of Characteristic Features for Authorship Attribution with ANN. DEXA (2) 2013: 1-8 - [c11]Urszula Stanczyk:
On Preference Order of DRSA Conditional Attributes for Computational Stylistics. DEXA (2) 2013: 26-33 - [c10]Urszula Stanczyk:
Weighting of Attributes in an Embedded Rough Approach. ICMMI 2013: 475-483 - 2011
- [c9]Urszula Stanczyk:
On Performance of DRSA-ANN Classifier. HAIS (2) 2011: 172-179 - [c8]Urszula Stanczyk:
Reduct-Based Analysis of Decision Algorithms: Application in Computational Stylistics. HAIS (2) 2011: 295-302 - [c7]Urszula Stanczyk:
Recognition of Author Gender for Literary Texts. ICMMI 2011: 229-238 - [c6]Urszula Stanczyk:
Rule-Based Approach to Computational Stylistics. SIIS 2011: 168-179 - [c5]Urszula Stanczyk:
Application of DRSA-ANN Classifier in Computational Stylistics. ISMIS 2011: 695-704 - [e2]Tadeusz Czachórski, Stanislaw Kozielski, Urszula Stanczyk:
Man-Machine Interactions 2, Proceedings of the 2nd International Conference on Man-Machine Interactions, ICMMI 2011, The Beskids, Poland, October 6-9, 2011. Advances in Intelligent and Soft Computing 103, Springer 2011, ISBN 978-3-642-23168-1 [contents] - 2010
- [c4]Urszula Stanczyk:
Rough Set-Based Analysis of Characteristic Features for ANN Classifier. HAIS (1) 2010: 565-572 - [c3]Urszula Stanczyk:
DRSA Decision Algorithm Analysis in Stylometric Processing of Literary Texts. RSCTC 2010: 600-609
2000 – 2009
- 2009
- [c2]Urszula Stanczyk:
Relative Reduct-Based Selection of Features for ANN Classifier. ICMMI 2009: 335-344 - [p1]Urszula Stanczyk:
Dominance-Based Rough Set Approach Employed in Search of Authorial Invariants. Computer Recognition Systems 3 2009: 293-301 - [e1]Krzysztof A. Cyran, Stanislaw Kozielski, James F. Peters, Urszula Stanczyk, Alicja Wakulicz-Deja:
Man-Machine Interactions, Proceedings of the first International Conference on Man-Machine Interactions, ICMMI 2009, The Beskids, Poland, September 25-27, 2009. Advances in Intelligent and Soft Computing 59, 2009, ISBN 978-3-642-00562-6 [contents] - 2007
- [c1]Krzysztof A. Cyran, Urszula Stanczyk:
Indiscernibility Relation for Continuous Attributes: Application in Image Recognition. RSEISP 2007: 726-735
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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