Norbert Jankowski

According to our database, Norbert Jankowski authored at least 39 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automatic Kernel Construction During the Neural Network Learning by Modified Fast Singular Value Decomposition.

Norbert Jankowski, Grzegorz Dudek

Proceedings of the Computational Science - ICCS 2024, 2024

2022

A Fast and Efficient Algorithm for Filtering the Training Dataset.

Norbert Jankowski

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

Revdbscan and Flexscan - O(nlog n) Clustering Algorithms.

Norbert Jankowski

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Fast t-SNE algorithm with forest of balanced LSH trees and hybrid computation of repulsive forces.

Marek Orlinski, Norbert Jankowski

Knowl. Based Syst., 2020

O (m log m) instance selection algorithms - RR-DROPs.

Marek Orlinski, Norbert Jankowski

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

A Fast Neural Network Learning Algorithm with Approximate Singular Value Decomposition.

Norbert Jankowski, Rafal Linowiecki

Int. J. Appl. Math. Comput. Sci., 2019

Fast Encoding length-based prototype selection algorithms.

Norbert Jankowski, Marek Orlinski

Aust. J. Intell. Inf. Process. Syst., 2019

Fast Algorithm for Prototypes Selection - Trust-Margin Prototypes.

Norbert Jankowski, Marek Orlinski

Proceedings of the Artificial Intelligence and Soft Computing, 2019

2018

Comparison of Prototype Selection Algorithms Used in Construction of Neural Networks Learned by SVD.

Norbert Jankowski

Int. J. Appl. Math. Comput. Sci., 2018

Prototype-Based Kernels for Extreme Learning Machines and Radial Basis Function Networks.

Norbert Jankowski

Proceedings of the Artificial Intelligence and Soft Computing, 2018

2015

The Multi-Ranked Classifiers Comparison.

Norbert Jankowski

Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

2013

Fast heterogeneous boosting.

Norbert Jankowski

Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013

2012

Graph-based generation of a meta-learning search space.

Norbert Jankowski

Int. J. Appl. Math. Comput. Sci., 2012

Make it cheap: Learning with O(nd) complexity.

Wlodzislaw Duch, Norbert Jankowski, Tomasz Maszczyk

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Universal Meta-Learning Architecture and Algorithms.

Norbert Jankowski, Krzysztof Grabczewski

Proceedings of the Meta-Learning in Computational Intelligence, 2011

Saving time and memory in computational intelligence system with machine unification and task spooling.

Krzysztof Grabczewski, Norbert Jankowski

Knowl. Based Syst., 2011

Analysis of Feature Weighting Methods Based on Feature Ranking Methods for Classification.

Norbert Jankowski, Krzysztof Usowicz

Proceedings of the Neural Information Processing - 18th International Conference, 2011

Complexity Measures for Meta-learning and Their Optimality.

Norbert Jankowski

Proceedings of the Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 2011

2010

Increasing Efficiency of Data Mining Systems by Machine Unification and Double Machine Cache.

Norbert Jankowski, Krzysztof Grabczewski

Proceedings of the Artificial Intelligence and Soft Computing, 2010

Task Management in Advanced Computational Intelligence System.

Krzysztof Grabczewski, Norbert Jankowski

Proceedings of the Artificial Intelligence and Soft Computing, 2010

2008

Learning Machines Information Distribution System with Example Applications.

Norbert Jankowski, Krzysztof Grabczewski

Proceedings of the Computer Recognition Systems 2, 2008

Building meta-learning algorithms basing on search controlled by machine complexity.

Norbert Jankowski, Krzysztof Grabczewski

Proceedings of the International Joint Conference on Neural Networks, 2008

Meta-learning with Machine Generators and Complexity Controlled Exploration.

Krzysztof Grabczewski, Norbert Jankowski

Proceedings of the Artificial Intelligence and Soft Computing, 2008

2007

Handwritten Digit, Recognition Road to Contest victory.

Norbert Jankowski, Krzysztof Grabczewski

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

Versatile and Efficient Meta-Learning Architecture: Knowledge Representation and Management in Computational Intelligence.

Krzysztof Grabczewski, Norbert Jankowski

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006

Learning Machines.

Norbert Jankowski, Krzysztof Grabczewski

Proceedings of the Feature Extraction - Foundations and Applications, 2006

Mining for Complex Models Comprising Feature Selection and Classification.

Krzysztof Grabczewski, Norbert Jankowski

Proceedings of the Feature Extraction - Foundations and Applications, 2006

2005

Heterogenous Committees with Competence Analysis.

Norbert Jankowski, Krzysztof Grabczewski

Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

Feature Selection with Decision Tree Criterion.

Krzysztof Grabczewski, Norbert Jankowski

Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

Instances Selection Algorithms in the Conjunction with LVQ.

Norbert Jankowski, Marek Grochowski

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

2004

Comparison of Instances Seletion Algorithms I. Algorithms Survey.

Norbert Jankowski, Marek Grochowski

Proceedings of the Artificial Intelligence and Soft Computing, 2004

Comparison of Instance Selection Algorithms II. Results and Comments.

Marek Grochowski, Norbert Jankowski

Proceedings of the Artificial Intelligence and Soft Computing, 2004

2003

Discrete feature weighting & selection algorithm.

Norbert Jankowski

Proceedings of the International Joint Conference on Neural Networks, 2003

Transformations of Symbolic Data for Continuous Data Oriented Models.

Krzysztof Grabczewski, Norbert Jankowski

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2001

Optimal transfer function neural networks.

Norbert Jankowski, Wlodzislaw Duch

Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

Transfer functions: hidden possibilities for better neural networks.

Wlodzislaw Duch, Norbert Jankowski

Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

2000

Taxonomy of Neural Transfer Functions.

Wlodzislaw Duch, Norbert Jankowski

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Optimization and Interpretation of Rule-based Classifiers.

Wlodzislaw Duch, Norbert Jankowski, Krzysztof Grabczewski, Rafal Adamczak

Proceedings of the Intelligent Information Systems, 2000

1997

Statistical Control of RBF-like Networks for Classification.

Norbert Jankowski, Visakan Kadirkamanathan

Proceedings of the Artificial Neural Networks, 1997