Leon Bobrowski

Orcid: 0000-0003-4735-2460

According to our database1, Leon Bobrowski authored at least 59 papers between 1984 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Classification model with collinear grouping of features.
J. Inf. Telecommun., January, 2023

Complex Layers of Ranked Prognostic Models.
Proceedings of the Computational Collective Intelligence - 15th International Conference, 2023

Balancing High-Dimensional Datasets with Complex Layers.
Proceedings of the Engineering Applications of Neural Networks, 2023

2022
Collinear Data Structures and Interaction Models.
Proceedings of the Computational Collective Intelligence - 14th International Conference, 2022

Complex Layers of Formal Neurons.
Proceedings of the Engineering Applications of Neural Networks, 2022

2021
Feature (Gene) Clustering with Collinearity Models.
Proceedings of the Computational Collective Intelligence - 13th International Conference, 2021

Repeatable Functionalities in Complex Layers of Formal Neurons.
Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021

Complexes of Low Dimensional Linear Classifiers with L<sub>1</sub> Margins.
Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021

2020
Small Samples of Multidimensional Feature Vectors.
Proceedings of the Advances in Computational Collective Intelligence, 2020

Linear Classifiers with the L<sub>1</sub> Margin from a Small Number of High-Dimensional Vectors.
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

2019
Feature (Gene) Selection in Linear Homogeneous Cuts.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019

Local Models of Interaction on Collinear Patterns.
Proceedings of the Computational Collective Intelligence - 11th International Conference, 2019

Separable Data Aggregation by Layers of Binary Classifiers.
Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019

2018
Basis exchange and learning algorithms for extracting collinear patterns.
J. Inf. Telecommun., 2018

Models of Multiple Interactions from Collinear Patterns.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018

Dipolar Data Aggregation in the Context of Deep Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Collinearity Models in the Eigenvalue Problem.
Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

2017
Biclustering Based on Collinear Patterns.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

Dipolar Data Integration Through Univariate, Binary Classifiers.
Proceedings of the Computational Collective Intelligence - 9th International Conference, 2017

2016
Decision Rules with Collinearity Models.
Proceedings of the Intelligent Decision Technologies 2016 - Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016), 2016

Learning Algorithms Aimed at Collinear Patterns.
Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2015
Linearizing layers of radial binary classifiers with movable centers.
Pattern Anal. Appl., 2015

2014
Discovering Main Vertexical Planes in a Multivariate Data Space by Using CPL Functions.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2014

2013
Designing Prognostic Models by Reinforcing Linear Separation.
Proceedings of the Data and Knowledge for Medical Decision Support, 2013

CPL Criterion Functions and Learning Algorithms Linked to the Linear Separability Concept.
Proceedings of the Engineering Applications of Neural Networks, 2013

Separable Linearization of Learning Sets by Ranked Layer of Radial Binary Classifiers.
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

2012
Prognostic Modeling with High Dimensional and Censored Data.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2012

Class Separating Measures of Similarity for the CBR Scheme.
Proceedings of the Advances in Data Mining, 12th Industrial Conference, 2012

Dipolar Designing Layers of Formal Neurons.
Proceedings of the Engineering Applications of Neural Networks, 2012

2011
Prognostic Models Based on Linear Separability.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2011

Induction of Linear Separability through the Ranked Layers of Binary Classifiers.
Proceedings of the Engineering Applications of Neural Networks, 2011

2010
CPL Clustering Based on Linear Dependencies.
Simul. Notes Eur., 2010

Selection of High Risk Patients with Ranked Models Based on the CPL Criterion Functions.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

2009
Ranked linear models and sequential patterns recognition.
Pattern Anal. Appl., 2009

2008
Induction of Similarity Measures for Case Based Reasoning Through Separable Data Transformations.
Proceedings of the Case-Based Reasoning on Images and Signals, 2008

Pattern Discovery Through Separable Data Projections.
Proceedings of the Computer Recognition Systems 2, 2008

CPLClustering with Feature Costs.
Proceedings of the Advances in Data Mining. Medical Applications, 2008

2007
Exploring the linearity of models on the basis of ranked data.
Proceedings of the 2007 Summer Computer Simulation Conference, 2007

2006
Ranked patterns and structular linearisation of data sets.
Proceedings of the 6th Industrial Conference on Data Mining, Poster Proceedings, 2006

Multichannel Data Aggregation by Layers of Formal Neurons.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005
Ranked Modelling with Feature Selection Based on the <i>CPL</i> Criterion Functions.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Separable Data Aggregation in Hierarchical Networks of Formal Neurons.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Linear Ranked Regression - Designing Principles.
Proceedings of the Computer Recognition Systems, 2005

2004
Improving the K-NN Classification with the Euclidean Distance Through Linear Data Transformations.
Proceedings of the Advances in Data Mining, 2004

Artificial Neural Networks in Identifying Areas with Homogeneous Survival Time.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

Selection of the Linearly Separable Feature Subsets.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

Integration of Public Information at the Regional Level - Challenges and Opportunities.
Proceedings of the Electronic Government: Third International Conference, 2004

2003
Tuning of Diagnosis Support Rules through Visualizing Data Transformations.
Proceedings of the Medical Data Analysis, 4th International Symposium, 2003

2001
Diagnosis Supporting Rules of the Hepar System.
Proceedings of the MEDINFO 2001, 2001

2000
Induction of Multivariate Decision Trees by Using Dipolar Criteria.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

1998
Ranked Rules and Data Visualization.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998

1996
Piecewise-linear classifiers, formal neurons and separability of the learning sets.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

1995
Linear classifiers by window training.
IEEE Trans. Syst. Man Cybern., 1995

1994
Linear classifiers by window training and basis exchange.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1991
c-means clustering with the l<sub>l</sub> and l<sub>∞</sub> norms.
IEEE Trans. Syst. Man Cybern., 1991

Design of piecewise linear classifiers from formal neurons by a basis exchange technique.
Pattern Recognit., 1991

1988
Feature selection based on some homogeneity coefficient.
Proceedings of the 9th International Conference on Pattern Recognition, 1988

1986
Linear discrimination with symmetrical models.
Pattern Recognit., 1986

1984
A method of synthesis of linear discriminant function in the case of nonseparability.
Pattern Recognit., 1984


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