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Norbert Jankowski
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2020 – today
- 2024
- [c28]Norbert Jankowski, Grzegorz Dudek:
Automatic Kernel Construction During the Neural Network Learning by Modified Fast Singular Value Decomposition. ICCS (3) 2024: 205-212 - 2022
- [c27]Norbert Jankowski:
A Fast and Efficient Algorithm for Filtering the Training Dataset. ICONIP (1) 2022: 504-512 - 2021
- [c26]Norbert Jankowski:
Revdbscan and Flexscan - O(nlog n) Clustering Algorithms. ICONIP (5) 2021: 642-650 - 2020
- [j6]Marek Orlinski, Norbert Jankowski:
Fast t-SNE algorithm with forest of balanced LSH trees and hybrid computation of repulsive forces. Knowl. Based Syst. 206: 106318 (2020) - [c25]Marek Orlinski, Norbert Jankowski:
O (m log m) instance selection algorithms - RR-DROPs. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j5]Norbert Jankowski, Marek Orlinski:
Fast Encoding length-based prototype selection algorithms. Aust. J. Intell. Inf. Process. Syst. 16(3): 61-66 (2019) - [j4]Norbert Jankowski, Rafal Linowiecki:
A Fast Neural Network Learning Algorithm with Approximate Singular Value Decomposition. Int. J. Appl. Math. Comput. Sci. 29(3): 581-594 (2019) - [c24]Norbert Jankowski, Marek Orlinski:
Fast Algorithm for Prototypes Selection - Trust-Margin Prototypes. ICAISC (1) 2019: 583-594 - 2018
- [j3]Norbert Jankowski:
Comparison of Prototype Selection Algorithms Used in Construction of Neural Networks Learned by SVD. Int. J. Appl. Math. Comput. Sci. 28(4): 719-733 (2018) - [c23]Norbert Jankowski:
Prototype-Based Kernels for Extreme Learning Machines and Radial Basis Function Networks. ICAISC (1) 2018: 70-75 - 2015
- [c22]Norbert Jankowski:
The Multi-Ranked Classifiers Comparison. CORES 2015: 111-123 - 2013
- [c21]Norbert Jankowski:
Fast heterogeneous boosting. CIEL 2013: 1-8 - 2012
- [j2]Norbert Jankowski:
Graph-based generation of a meta-learning search space. Int. J. Appl. Math. Comput. Sci. 22(3): 647-667 (2012) - [c20]Wlodzislaw Duch
, Norbert Jankowski, Tomasz Maszczyk:
Make it cheap: Learning with O(nd) complexity. IJCNN 2012: 1-4 - 2011
- [j1]Krzysztof Grabczewski
, Norbert Jankowski:
Saving time and memory in computational intelligence system with machine unification and task spooling. Knowl. Based Syst. 24(5): 570-588 (2011) - [c19]Norbert Jankowski:
Complexity Measures for Meta-learning and Their Optimality. Algorithmic Probability and Friends 2011: 198-210 - [c18]Norbert Jankowski, Krzysztof Usowicz:
Analysis of Feature Weighting Methods Based on Feature Ranking Methods for Classification. ICONIP (2) 2011: 238-247 - [p4]Norbert Jankowski, Krzysztof Grabczewski:
Universal Meta-Learning Architecture and Algorithms. Meta-Learning in Computational Intelligence 2011: 1-76 - [e1]Norbert Jankowski, Wlodzislaw Duch, Krzysztof Grabczewski:
Meta-Learning in Computational Intelligence. Studies in Computational Intelligence 358, Springer 2011, ISBN 978-3-642-20979-6 [contents] - 2010
- [c17]Krzysztof Grabczewski, Norbert Jankowski:
Task Management in Advanced Computational Intelligence System. ICAISC (1) 2010: 331-338 - [c16]Norbert Jankowski, Krzysztof Grabczewski:
Increasing Efficiency of Data Mining Systems by Machine Unification and Double Machine Cache. ICAISC (1) 2010: 380-387
2000 – 2009
- 2008
- [c15]Krzysztof Grabczewski, Norbert Jankowski:
Meta-learning with Machine Generators and Complexity Controlled Exploration. ICAISC 2008: 545-555 - [c14]Norbert Jankowski, Krzysztof Grabczewski
:
Building meta-learning algorithms basing on search controlled by machine complexity. IJCNN 2008: 3601-3608 - [p3]Norbert Jankowski, Krzysztof Grabczewski:
Learning Machines Information Distribution System with Example Applications. Computer Recognition Systems 2 2008: 205-215 - 2007
- [c13]Krzysztof Grabczewski, Norbert Jankowski:
Versatile and Efficient Meta-Learning Architecture: Knowledge Representation and Management in Computational Intelligence. CIDM 2007: 51-58 - [c12]Norbert Jankowski, Krzysztof Grabczewski
:
Handwritten Digit, Recognition Road to Contest victory. CIDM 2007: 491-498 - 2006
- [p2]Norbert Jankowski, Krzysztof Grabczewski:
Learning Machines. Feature Extraction 2006: 29-64 - [p1]Krzysztof Grabczewski, Norbert Jankowski:
Mining for Complex Models Comprising Feature Selection and Classification. Feature Extraction 2006: 471-488 - 2005
- [c11]Norbert Jankowski, Marek Grochowski:
Instances Selection Algorithms in the Conjunction with LVQ. Artificial Intelligence and Applications 2005: 703-708 - [c10]Krzysztof Grabczewski, Norbert Jankowski:
Feature Selection with Decision Tree Criterion. HIS 2005: 212-217 - [c9]Norbert Jankowski, Krzysztof Grabczewski:
Heterogenous Committees with Competence Analysis. HIS 2005: 417-424 - 2004
- [c8]Marek Grochowski, Norbert Jankowski:
Comparison of Instance Selection Algorithms II. Results and Comments. ICAISC 2004: 580-585 - [c7]Norbert Jankowski, Marek Grochowski:
Comparison of Instances Seletion Algorithms I. Algorithms Survey. ICAISC 2004: 598-603 - 2003
- [c6]Krzysztof Grabczewski, Norbert Jankowski:
Transformations of Symbolic Data for Continuous Data Oriented Models. ICANN 2003: 359-366 - 2001
- [c5]Wlodzislaw Duch, Norbert Jankowski:
Transfer functions: hidden possibilities for better neural networks. ESANN 2001: 81-94 - [c4]Norbert Jankowski, Wlodzislaw Duch:
Optimal transfer function neural networks. ESANN 2001: 101-106 - 2000
- [c3]Wlodzislaw Duch, Norbert Jankowski, Krzysztof Grabczewski, Rafal Adamczak:
Optimization and Interpretation of Rule-based Classifiers. Intelligent Information Systems 2000: 1-13 - [c2]Wlodzislaw Duch, Norbert Jankowski:
Taxonomy of Neural Transfer Functions. IJCNN (3) 2000: 477-484
1990 – 1999
- 1997
- [c1]Norbert Jankowski, Visakan Kadirkamanathan
:
Statistical Control of RBF-like Networks for Classification. ICANN 1997: 385-390
Coauthor Index
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