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2020 – today
- 2024
[c49]Leon Bobrowski
:
Feature Selection with L1 Regularization in Formal Neurons. EANN 2024: 343-353- [c48]Leon Bobrowski:
High Learning Hierarchical Neural Networks. ICCCI (2) 2024: 295-304 - 2023
- [j11]Leon Bobrowski, Pawel Zabielski:
Classification model with collinear grouping of features. J. Inf. Telecommun. 7(1): 73-88 (2023) - [c47]Leon Bobrowski:
Balancing High-Dimensional Datasets with Complex Layers. EANN 2023: 62-70 - [c46]Leon Bobrowski:
Complex Layers of Ranked Prognostic Models. ICCCI 2023: 660-669 - 2022
- [c45]Leon Bobrowski:
Complex Layers of Formal Neurons. EANN 2022: 81-89 - [c44]Leon Bobrowski:
Collinear Data Structures and Interaction Models. ICCCI 2022: 378-387 - 2021
- [j10]Leon Bobrowski, Pawel Zabielski:
Basis exchange and learning algorithms for extracting collinear patterns. J. Inf. Telecommun. 5(3): 334-349 (2021) - [c43]Leon Bobrowski:
Complexes of Low Dimensional Linear Classifiers with L1 Margins. ACIIDS 2021: 29-40 - [c42]Leon Bobrowski, Tomasz Lukaszuk:
Repeatable Functionalities in Complex Layers of Formal Neurons. EANN 2021: 436-447 - [c41]Leon Bobrowski, Pawel Zabielski:
Feature (Gene) Clustering with Collinearity Models. ICCCI 2021: 403-415 - 2020
- [c40]Leon Bobrowski, Tomasz Lukaszuk:
Linear Classifiers with the L1 Margin from a Small Number of High-Dimensional Vectors. ACIIDS (2) 2020: 79-89 - [c39]Leon Bobrowski:
Small Samples of Multidimensional Feature Vectors. ICCCI (CCIS Volume) 2020: 87-98
2010 – 2019
- 2019
- [c38]Leon Bobrowski, Magdalena Topczewska:
Separable Data Aggregation by Layers of Binary Classifiers. ACIIDS (1) 2019: 327-338 - [c37]Leon Bobrowski:
Local Models of Interaction on Collinear Patterns. ICCCI (1) 2019: 259-270 - [c36]Leon Bobrowski, Tomasz Lukaszuk:
Feature (Gene) Selection in Linear Homogeneous Cuts. IWBBIO (2) 2019: 259-270 - 2018
- [j9]Leon Bobrowski, Pawel Zabielski:
Basis exchange and learning algorithms for extracting collinear patterns. J. Inf. Telecommun. 2(1): 53-67 (2018) - [c35]Leon Bobrowski:
Collinearity Models in the Eigenvalue Problem. ACIIDS (1) 2018: 402-409 - [c34]Leon Bobrowski, Magdalena Topczewska:
Dipolar Data Aggregation in the Context of Deep Learning. ICANN (3) 2018: 574-583 - [c33]Leon Bobrowski, Pawel Zabielski:
Models of Multiple Interactions from Collinear Patterns. IWBBIO (1) 2018: 153-165 - 2017
- [c32]Leon Bobrowski:
Dipolar Data Integration Through Univariate, Binary Classifiers. ICCCI (1) 2017: 73-82 - [c31]Leon Bobrowski:
Biclustering Based on Collinear Patterns. IWBBIO (1) 2017: 134-144 - 2016
- [c30]Leon Bobrowski, Pawel Zabielski:
Learning Algorithms Aimed at Collinear Patterns. ACIIDS (2) 2016: 159-168 - [c29]Leon Bobrowski:
Decision Rules with Collinearity Models. KES-IDT (1) 2016: 293-304 - 2015
- [j8]Leon Bobrowski, Magdalena Topczewska:
Linearizing layers of radial binary classifiers with movable centers. Pattern Anal. Appl. 18(4): 771-781 (2015) - 2014
- [c28]Leon Bobrowski:
Discovering Main Vertexical Planes in a Multivariate Data Space by Using CPL Functions. ICDM 2014: 200-213 - 2013
- [c27]Leon Bobrowski, Magdalena Topczewska:
Separable Linearization of Learning Sets by Ranked Layer of Radial Binary Classifiers. CORES 2013: 131-140 - [c26]Leon Bobrowski:
CPL Criterion Functions and Learning Algorithms Linked to the Linear Separability Concept. EANN (1) 2013: 456-465 - [c25]Leon Bobrowski:
Designing Prognostic Models by Reinforcing Linear Separation. EFMI-STC 2013: 36-40 - 2012
- [c24]Leon Bobrowski:
Dipolar Designing Layers of Formal Neurons. EANN 2012: 334-342 - [c23]Leon Bobrowski:
Class Separating Measures of Similarity for the CBR Scheme. ICDM (Workshops) 2012: 5-18 - [c22]Leon Bobrowski, Tomasz Lukaszuk:
Prognostic Modeling with High Dimensional and Censored Data. ICDM 2012: 178-193 - 2011
- [c21]Leon Bobrowski:
Induction of Linear Separability through the Ranked Layers of Binary Classifiers. EANN/AIAI (1) 2011: 69-77 - [c20]Leon Bobrowski:
Prognostic Models Based on Linear Separability. ICDM 2011: 11-24 - 2010
- [j7]Leon Bobrowski:
CPL Clustering Based on Linear Dependencies. Simul. Notes Eur. 20(3-4): 43-48 (2010) - [c19]Leon Bobrowski:
Selection of High Risk Patients with Ranked Models Based on the CPL Criterion Functions. ICDM 2010: 432-441
2000 – 2009
- 2009
- [j6]Leon Bobrowski:
Ranked linear models and sequential patterns recognition. Pattern Anal. Appl. 12(1): 1-7 (2009) - 2008
- [c18]Leon Bobrowski:
CPLClustering with Feature Costs. ICDM 2008: 177-188 - [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 - 2007
- [c17]Leon Bobrowski, Ralph C. Huntsinger:
Exploring the linearity of models on the basis of ranked data. SCSC 2007: 411-418 - 2006
- [c16]Leon Bobrowski:
Multichannel Data Aggregation by Layers of Formal Neurons. ICAISC 2006: 1-8 - [c15]Leon Bobrowski:
Ranked patterns and structular linearisation of data sets. ICDM (Posters) 2006: 30-36 - 2005
- [c14]Leon Bobrowski:
Linear Ranked Regression - Designing Principles. CORES 2005: 105-112 - [c13]Leon Bobrowski:
Separable Data Aggregation in Hierarchical Networks of Formal Neurons. ICANN (2) 2005: 289-294 - [c12]Leon Bobrowski:
Ranked Modelling with Feature Selection Based on the CPL Criterion Functions. MLDM 2005: 218-227 - 2004
- [c11]Leon Bobrowski, Mariusz Buzun, Karol Przybszewski:
Integration of Public Information at the Regional Level - Challenges and Opportunities. EGOV 2004: 529-533 - [c10]Leon Bobrowski, Tomasz Lukaszuk:
Selection of the Linearly Separable Feature Subsets. ICAISC 2004: 544-549 - [c9]Malgorzata Kretowska, Leon Bobrowski:
Artificial Neural Networks in Identifying Areas with Homogeneous Survival Time. ICAISC 2004: 1008-1013 - [c8]Leon Bobrowski, Magdalena Topczewska:
Improving the K-NN Classification with the Euclidean Distance Through Linear Data Transformations. ICDM 2004: 23-32 - 2003
- [c7]Leon Bobrowski, Magdalena Topczewska:
Tuning of Diagnosis Support Rules through Visualizing Data Transformations. ISMDA 2003: 15-22 - 2001
- [c6]Leon Bobrowski, Hanna Wasyluk:
Diagnosis Supporting Rules of the Hepar System. MedInfo 2001: 1309-1313 - 2000
- [c5]Leon Bobrowski, Marek Kretowski:
Induction of Multivariate Decision Trees by Using Dipolar Criteria. PKDD 2000: 331-336
1990 – 1999
- 1998
- [c4]Leon Bobrowski, Tomasz Sowinski:
Ranked Rules and Data Visualization. PKDD 1998: 47-55 - 1996
- [c3]Leon Bobrowski:
Piecewise-linear classifiers, formal neurons and separability of the learning sets. ICPR 1996: 224-228 - 1995
- [j5]Leon Bobrowski, Jack Sklansky:
Linear classifiers by window training. IEEE Trans. Syst. Man Cybern. 25(1): 1-9 (1995) - 1994
- [c2]Leon Bobrowski, Jack Sklansky:
Linear classifiers by window training and basis exchange. ICPR (2) 1994: 513-514 - 1991
- [j4]Leon Bobrowski:
Design of piecewise linear classifiers from formal neurons by a basis exchange technique. Pattern Recognit. 24(9): 863-870 (1991) - [j3]Leon Bobrowski, James C. Bezdek:
c-means clustering with the ll and l∞ norms. IEEE Trans. Syst. Man Cybern. 21(3): 545-554 (1991)
1980 – 1989
- 1988
- [c1]Leon Bobrowski:
Feature selection based on some homogeneity coefficient. ICPR 1988: 544-546 - 1986
- [j2]Leon Bobrowski:
Linear discrimination with symmetrical models. Pattern Recognit. 19(1): 101-109 (1986) - 1984
- [j1]Leon Bobrowski, Wojciech Niemiro:
A method of synthesis of linear discriminant function in the case of nonseparability. Pattern Recognit. 17(2): 205-210 (1984)
Coauthor Index
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last updated on 2024-09-21 23:40 CEST by the dblp team
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