Konrad Jackowski

According to our database1, Konrad Jackowski authored at least 28 papers between 2008 and 2018.

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

Timeline

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Bibliography

2018
New diversity measure for data stream classification ensembles.
Eng. Appl. Artif. Intell., 2018

2017
A learning-based colour image segmentation with extended and compact structural tensor feature representation.
Pattern Anal. Appl., 2017

A Novel Simulated Annealing Based Training Algorithm for Data Stream Processing Ensemble Classifier.
Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017

Application of Genetic Algorithm and Simulated Annealing to Ensemble Classifier Training on Data Streams.
Proceedings of the Advances on P2P, 2017

2016
Learning Decision Trees from Data Streams with Concept Drift.
Proceedings of the International Conference on Computational Science 2016, 2016

2015
Adaptive Splitting and Selection Algorithm for Regression.
New Gener. Comput., 2015

A novel hyperspectral segmentation algorithm - concept and evaluation.
Log. J. IGPL, 2015

An Increment Decision Tree Algorithm for Streamed Data.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Comparison of Clustering Methods in Cotton Textile Industry.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

Modelling Dental Milling Process with Machine Learning-Based Regression Algorithms.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

Electronic Health Record: A review.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Fixed-size ensemble classifier system evolutionarily adapted to a recurring context with an unlimited pool of classifiers.
Pattern Anal. Appl., 2014

Improved Adaptive Splitting and Selection: the Hybrid Training Method of a Classifier Based on a Feature Space Partitioning.
Int. J. Neural Syst., 2014

Application of AdaSS Ensemble Approach for Prediction of Power Plant Generator Tension.
Proceedings of the International Joint Conference SOCO'14-CISIS'14-ICEUTE'14, 2014

Feature selection and ensemble of regression models for predicting the protein macromolecule dissolution profile.
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014

Migraine Diagnosis Support System Based on Classifier Ensemble.
Proceedings of the ICT Innovations 2014, 2014

Dimensionality Reduction and Prediction of the Protein Macromolecule Dissolution Profile.
Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications, 2014

Evolutionary Weighted Ensemble for EEG Signal Recognition.
Proceedings of the Intelligent Data analysis and its Applications, Volume II, 2014

Evolutionary Algorithm for Decision Tree Induction.
Proceedings of the Computer Information Systems and Industrial Management, 2014

2013
Application of Adaptive Splitting and Selection Classifier to the Spam Filtering Problem.
Cybern. Syst., 2013

2012
Cost-Sensitive Splitting and Selection Method for Medical Decision Support System.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

Evolutionary Adapted Ensemble for Reoccurring Context.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

2010
Method of classifier selection using the genetic approach.
Expert Syst. J. Knowl. Eng., 2010

Multiple Classifier System with Radial Basis Weight Function.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

2009
Algorithm of designing compound recognition system on the basis of combining classifiers with simultaneous splitting feature space into competence areas.
Pattern Anal. Appl., 2009

Some Remarks on Chosen Methods of Classifier Fusion Based on Weighted Voting.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

Adaptive Splitting and Selection Method of Classifier Ensemble Building.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

2008
Fusers Based on Classifier Response and Discriminant Function - Comparative Study.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008


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