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2010 – 2019
- 2019
[c8]Leon Bobrowski, Magdalena Topczewska:
Separable Data Aggregation by Layers of Binary Classifiers. ACIIDS (1) 2019: 327-338- 2018
- [c7]Leon Bobrowski, Magdalena Topczewska:
Dipolar Data Aggregation in the Context of Deep Learning. ICANN (3) 2018: 574-583 - 2016
- [c6]Pawel Szeszko, Magdalena Topczewska:
Empirical Assessment of Performance Measures for Preprocessing Moments in Imbalanced Data Classification Problem. CISIM 2016: 183-194 - 2015
- [j1]Leon Bobrowski
, Magdalena Topczewska:
Linearizing layers of radial binary classifiers with movable centers. Pattern Anal. Appl. 18(4): 771-781 (2015) - [c5]Katarzyna Borowska, Magdalena Topczewska:
New Data Level Approach for Imbalanced Data Classification Improvement. CORES 2015: 283-294 - 2013
- [c4]Leon Bobrowski, Magdalena Topczewska:
Separable Linearization of Learning Sets by Ranked Layer of Radial Binary Classifiers. CORES 2013: 131-140
2000 – 2009
- 2008
- [c3]Magdalena Topczewska, Kurt Frischmuth:
Rank Regression by Projection Method vs Graph-Theoretical Algorithms. CISIM 2008: 44-49 - [p3]Magdalena Topczewska:
Pattern Classification Using Efficient Linear Classifiers with Small Number of Weights. Computer Recognition Systems 2 2008: 289-296 - [p2]Leon Bobrowski, Volodymir Mashtalir, Magdalena Topczewska:
Pattern Discovery Through Separable Data Projections. Computer Recognition Systems 2 2008: 348-355 - [p1]Leon Bobrowski, Magdalena Topczewska:
Induction of Similarity Measures for Case Based Reasoning Through Separable Data Transformations. Case-Based Reasoning on Images and Signals 2008: 127-148 - 2004
- [c2]Leon Bobrowski, Magdalena Topczewska:
Improving the K-NN Classification with the Euclidean Distance Through Linear Data Transformations. ICDM 2004: 23-32 - 2003
- [c1]Leon Bobrowski, Magdalena Topczewska:
Tuning of Diagnosis Support Rules through Visualizing Data Transformations. ISMDA 2003: 15-22
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