Norbert Jankowski

According to our database1, Norbert Jankowski authored at least 37 papers between 1997 and 2022.

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

Timeline

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Bibliography

2022
A Fast and Efficient Algorithm for Filtering the Training Dataset.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
Revdbscan and Flexscan - O(nlog n) Clustering Algorithms.
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.
Knowl. Based Syst., 2020

O (m log m) instance selection algorithms - RR-DROPs.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
A Fast Neural Network Learning Algorithm with Approximate Singular Value Decomposition.
Int. J. Appl. Math. Comput. Sci., 2019

Fast Encoding length-based prototype selection algorithms.
Aust. J. Intell. Inf. Process. Syst., 2019

Fast Algorithm for Prototypes Selection - Trust-Margin Prototypes.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

2018
Comparison of Prototype Selection Algorithms Used in Construction of Neural Networks Learned by SVD.
Int. J. Appl. Math. Comput. Sci., 2018

Prototype-Based Kernels for Extreme Learning Machines and Radial Basis Function Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

2015
The Multi-Ranked Classifiers Comparison.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

2013
Fast heterogeneous boosting.
Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013

2012
Graph-based generation of a meta-learning search space.
Int. J. Appl. Math. Comput. Sci., 2012

Make it cheap: Learning with O(nd) complexity.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Universal Meta-Learning Architecture and Algorithms.
Proceedings of the Meta-Learning in Computational Intelligence, 2011

Saving time and memory in computational intelligence system with machine unification and task spooling.
Knowl. Based Syst., 2011

Analysis of Feature Weighting Methods Based on Feature Ranking Methods for Classification.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Complexity Measures for Meta-learning and Their Optimality.
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.
Proceedings of the Artificial Intelligence and Soft Computing, 2010

Task Management in Advanced Computational Intelligence System.
Proceedings of the Artificial Intelligence and Soft Computing, 2010

2008
Learning Machines Information Distribution System with Example Applications.
Proceedings of the Computer Recognition Systems 2, 2008

Building meta-learning algorithms basing on search controlled by machine complexity.
Proceedings of the International Joint Conference on Neural Networks, 2008

Meta-learning with Machine Generators and Complexity Controlled Exploration.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

2007
Handwritten Digit, Recognition Road to Contest victory.
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.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006
Learning Machines.
Proceedings of the Feature Extraction - Foundations and Applications, 2006

Mining for Complex Models Comprising Feature Selection and Classification.
Proceedings of the Feature Extraction - Foundations and Applications, 2006

2005
Heterogenous Committees with Competence Analysis.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

Feature Selection with Decision Tree Criterion.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

Instances Selection Algorithms in the Conjunction with LVQ.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

2004
Comparison of Instances Seletion Algorithms I. Algorithms Survey.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

Comparison of Instance Selection Algorithms II. Results and Comments.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

2003
Transformations of Symbolic Data for Continuous Data Oriented Models.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2001
Optimal transfer function neural networks.
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

Transfer functions: hidden possibilities for better neural networks.
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

2000
Taxonomy of Neural Transfer Functions.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Optimization and Interpretation of Rule-based Classifiers.
Proceedings of the Intelligent Information Systems, 2000

1997
Statistical Control of RBF-like Networks for Classification.
Proceedings of the Artificial Neural Networks, 1997


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