Norbert Jankowski

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 11

Top Topics

Singular Value Decomposition

Learning Algorithm

Prototype Selection

Training Dataset

Top Venues

Int. J. Appl. Math. Comput. Sci.

Publications

Norbert Jankowski, Grzegorz Dudek
Automatic Kernel Construction During the Neural Network Learning by Modified Fast Singular Value Decomposition. ICCS (3) (2024)
Norbert Jankowski
A Fast and Efficient Algorithm for Filtering the Training Dataset. ICONIP (1) (2022)
Norbert Jankowski
Revdbscan and Flexscan - O(nlog n) Clustering Algorithms. ICONIP (5) (2021)
Marek Orlinski, Norbert Jankowski
O (m log m) instance selection algorithms - RR-DROPs. IJCNN (2020)
Marek Orlinski, Norbert Jankowski
Fast t-SNE algorithm with forest of balanced LSH trees and hybrid computation of repulsive forces. Knowl. Based Syst. 206 (2020)
Norbert Jankowski, Marek Orlinski
Fast Algorithm for Prototypes Selection - Trust-Margin Prototypes. ICAISC (1) (2019)
Norbert Jankowski, Rafal Linowiecki
A Fast Neural Network Learning Algorithm with Approximate Singular Value Decomposition. Int. J. Appl. Math. Comput. Sci. 29 (3) (2019)
Norbert Jankowski, Marek Orlinski
Fast Encoding length-based prototype selection algorithms. Aust. J. Intell. Inf. Process. Syst. 16 (3) (2019)
Norbert Jankowski
Comparison of Prototype Selection Algorithms Used in Construction of Neural Networks Learned by SVD. Int. J. Appl. Math. Comput. Sci. 28 (4) (2018)
Norbert Jankowski
Prototype-Based Kernels for Extreme Learning Machines and Radial Basis Function Networks. ICAISC (1) (2018)
Norbert Jankowski
The Multi-Ranked Classifiers Comparison. CORES (2015)
Norbert Jankowski
Fast heterogeneous boosting. CIEL (2013)
Wlodzislaw Duch, Norbert Jankowski, Tomasz Maszczyk
Make it cheap: Learning with O(nd) complexity. IJCNN (2012)
Norbert Jankowski
Graph-based generation of a meta-learning search space. Int. J. Appl. Math. Comput. Sci. 22 (3) (2012)
Krzysztof Grabczewski, Norbert Jankowski
Saving time and memory in computational intelligence system with machine unification and task spooling. Knowl. Based Syst. 24 (5) (2011)
Norbert Jankowski
Complexity Measures for Meta-learning and Their Optimality. Algorithmic Probability and Friends (2011)
Norbert Jankowski, Krzysztof Usowicz
Analysis of Feature Weighting Methods Based on Feature Ranking Methods for Classification. ICONIP (2) (2011)
Krzysztof Grabczewski, Norbert Jankowski
Task Management in Advanced Computational Intelligence System. ICAISC (1) (2010)
Norbert Jankowski, Krzysztof Grabczewski
Increasing Efficiency of Data Mining Systems by Machine Unification and Double Machine Cache. ICAISC (1) (2010)
Krzysztof Grabczewski, Norbert Jankowski
Meta-learning with Machine Generators and Complexity Controlled Exploration. ICAISC (2008)
Norbert Jankowski, Krzysztof Grabczewski
Building meta-learning algorithms basing on search controlled by machine complexity. IJCNN (2008)
Krzysztof Grabczewski, Norbert Jankowski
Versatile and Efficient Meta-Learning Architecture: Knowledge Representation and Management in Computational Intelligence. CIDM (2007)
Norbert Jankowski, Krzysztof Grabczewski
Handwritten Digit, Recognition Road to Contest victory. CIDM (2007)
Norbert Jankowski, Krzysztof Grabczewski
Heterogenous Committees with Competence Analysis. HIS (2005)
Norbert Jankowski, Marek Grochowski
Instances Selection Algorithms in the Conjunction with LVQ. Artificial Intelligence and Applications (2005)
Krzysztof Grabczewski, Norbert Jankowski
Feature Selection with Decision Tree Criterion. HIS (2005)
Norbert Jankowski, Marek Grochowski
Comparison of Instances Seletion Algorithms I. Algorithms Survey. ICAISC (2004)
Marek Grochowski, Norbert Jankowski
Comparison of Instance Selection Algorithms II. Results and Comments. ICAISC (2004)
Krzysztof Grabczewski, Norbert Jankowski
Transformations of Symbolic Data for Continuous Data Oriented Models. ICANN (2003)
Wlodzislaw Duch, Norbert Jankowski
Transfer functions: hidden possibilities for better neural networks. ESANN (2001)
Norbert Jankowski, Wlodzislaw Duch
Optimal transfer function neural networks. ESANN (2001)
Wlodzislaw Duch, Norbert Jankowski
Taxonomy of Neural Transfer Functions. IJCNN (3) (2000)
Wlodzislaw Duch, Norbert Jankowski, Krzysztof Grabczewski, Rafal Adamczak
Optimization and Interpretation of Rule-based Classifiers. Intelligent Information Systems (2000)
Norbert Jankowski, Visakan Kadirkamanathan
Statistical Control of RBF-like Networks for Classification. ICANN (1997)