Norbert Jankowski

41 papers B 6C 6Misc 3Journal 6Unranked 15
YearRankTypeTitle / Venue / Authors
2025 — conf
Instance Selection by Fast Local Set Border Selector.
ICCS (4)
Norbert Jankowski, Mateusz Skarupski
2024 — conf
Automatic Kernel Construction During the Neural Network Learning by Modified Fast Singular Value Decomposition.
ICCS (3)
Norbert Jankowski, Grzegorz Dudek
2022 — conf
A Fast and Efficient Algorithm for Filtering the Training Dataset.
ICONIP (1)
Norbert Jankowski
2021 — conf
Revdbscan and Flexscan - O(nlog n) Clustering Algorithms.
ICONIP (5)
Norbert Jankowski
2020 J jnl
Fast t-SNE algorithm with forest of balanced LSH trees and hybrid computation of repulsive forces.
Knowl. Based Syst.
Marek Orlinski, Norbert Jankowski
2020 B conf
O (m log m) instance selection algorithms - RR-DROPs.
IJCNN
Marek Orlinski, Norbert Jankowski
2019 J jnl
A Fast Neural Network Learning Algorithm with Approximate Singular Value Decomposition.
Int. J. Appl. Math. Comput. Sci.
Norbert Jankowski, Rafal Linowiecki
2019 — conf
Fast Algorithm for Prototypes Selection - Trust-Margin Prototypes.
ICAISC (1)
Norbert Jankowski, Marek Orlinski
2019 J jnl
Fast Encoding length-based prototype selection algorithms.
Aust. J. Intell. Inf. Process. Syst.
Norbert Jankowski, Marek Orlinski
2018 J jnl
Comparison of Prototype Selection Algorithms Used in Construction of Neural Networks Learned by SVD.
Int. J. Appl. Math. Comput. Sci.
Norbert Jankowski
2018 — conf
Prototype-Based Kernels for Extreme Learning Machines and Radial Basis Function Networks.
ICAISC (1)
Norbert Jankowski
2015 — conf
The Multi-Ranked Classifiers Comparison.
CORES
Norbert Jankowski
2013 — conf
Fast heterogeneous boosting.
CIEL
Norbert Jankowski
2012 J jnl
Graph-based generation of a meta-learning search space.
Int. J. Appl. Math. Comput. Sci.
Norbert Jankowski
2012 B conf
Make it cheap: Learning with O(nd) complexity.
IJCNN
Wlodzislaw Duch, Norbert Jankowski, Tomasz Maszczyk
2011 — conf
Analysis of Feature Weighting Methods Based on Feature Ranking Methods for Classification.
ICONIP (2)
Norbert Jankowski, Krzysztof Usowicz
2011 — conf
Complexity Measures for Meta-learning and Their Optimality.
Algorithmic Probability and Friends
Norbert Jankowski
2011 — book
Meta-Learning in Computational Intelligence
Meta-Learning in Computational Intelligence
Norbert Jankowski, Wlodzislaw Duch, Krzysztof Grabczewski
2011 J jnl
Saving time and memory in computational intelligence system with machine unification and task spooling.
Knowl. Based Syst.
Krzysztof Grabczewski, Norbert Jankowski
2011 — ch.
Universal Meta-Learning Architecture and Algorithms.
Meta-Learning in Computational Intelligence
Norbert Jankowski, Krzysztof Grabczewski
2010 — conf
Increasing Efficiency of Data Mining Systems by Machine Unification and Double Machine Cache.
ICAISC (1)
Norbert Jankowski, Krzysztof Grabczewski
2010 — conf
Task Management in Advanced Computational Intelligence System.
ICAISC (1)
Krzysztof Grabczewski, Norbert Jankowski
2008 B conf
Building meta-learning algorithms basing on search controlled by machine complexity.
IJCNN
Norbert Jankowski, Krzysztof Grabczewski
2008 — ch.
Learning Machines Information Distribution System with Example Applications.
Computer Recognition Systems 2
Norbert Jankowski, Krzysztof Grabczewski
2008 Misc conf
Meta-learning with Machine Generators and Complexity Controlled Exploration.
ICAISC
Krzysztof Grabczewski, Norbert Jankowski
2007 C conf
Handwritten Digit, Recognition Road to Contest victory.
CIDM
Norbert Jankowski, Krzysztof Grabczewski
2007 C conf
Versatile and Efficient Meta-Learning Architecture: Knowledge Representation and Management in Computational Intelligence.
CIDM
Krzysztof Grabczewski, Norbert Jankowski
2006 — ch.
Learning Machines.
Feature Extraction
Norbert Jankowski, Krzysztof Grabczewski
2006 — ch.
Mining for Complex Models Comprising Feature Selection and Classification.
Feature Extraction
Krzysztof Grabczewski, Norbert Jankowski
2005 C conf
Feature Selection with Decision Tree Criterion.
HIS
Krzysztof Grabczewski, Norbert Jankowski
2005 C conf
Heterogenous Committees with Competence Analysis.
HIS
Norbert Jankowski, Krzysztof Grabczewski
2005 — conf
Instances Selection Algorithms in the Conjunction with LVQ.
Artificial Intelligence and Applications
Norbert Jankowski, Marek Grochowski
2004 Misc conf
Comparison of Instance Selection Algorithms II. Results and Comments.
ICAISC
Marek Grochowski, Norbert Jankowski
2004 Misc conf
Comparison of Instances Seletion Algorithms I. Algorithms Survey.
ICAISC
Norbert Jankowski, Marek Grochowski
2003 B conf
Discrete feature weighting & selection algorithm.
IJCNN
Norbert Jankowski
2003 C conf
Transformations of Symbolic Data for Continuous Data Oriented Models.
ICANN
Krzysztof Grabczewski, Norbert Jankowski
2001 B conf
Optimal transfer function neural networks.
ESANN
Norbert Jankowski, Wlodzislaw Duch
2001 B conf
Transfer functions: hidden possibilities for better neural networks.
ESANN
Wlodzislaw Duch, Norbert Jankowski
2000 — conf
Optimization and Interpretation of Rule-based Classifiers.
Intelligent Information Systems
Wlodzislaw Duch, Norbert Jankowski, Krzysztof Grabczewski, Rafal Adamczak
2000 — conf
Taxonomy of Neural Transfer Functions.
IJCNN (3)
Wlodzislaw Duch, Norbert Jankowski
1997 C conf
Statistical Control of RBF-like Networks for Classification.
ICANN
Norbert Jankowski, Visakan Kadirkamanathan