Lena Pietruczuk

According to our database1, Lena Pietruczuk authored at least 23 papers between 2011 and 2019.

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

Timeline

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Bibliography

2019
Corrigendum to 'How to adjust an ensemble size in stream data mining?' Information Sciences, vol. 381 (2017), pp. 46-54.
Inf. Sci., 2019

2017
How to adjust an ensemble size in stream data mining?
Inf. Sci., 2017

2016
A method for automatic adjustment of ensemble size in stream data mining.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

2015
A New Method for Data Stream Mining Based on the Misclassification Error.
IEEE Trans. Neural Networks Learn. Syst., 2015

2014
Decision Trees for Mining Data Streams Based on the Gaussian Approximation.
IEEE Trans. Knowl. Data Eng., 2014

The CART decision tree for mining data streams.
Inf. Sci., 2014

The Parzen kernel approach to learning in non-stationary environment.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A novel application of Hoeffding's inequality to decision trees construction for data streams.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Decision Trees for Mining Data Streams Based on the McDiarmid's Bound.
IEEE Trans. Knowl. Data Eng., 2013

On a Splitting Criterion for Decision Trees in Data Streams.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013

On the Application of Orthogonal Series Density Estimation for Image Classification Based on Feature Description.
Proceedings of the Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions - Selected Papers from KICSS'2013, 2013

Adaptation of Decision Trees for Handling Concept Drift.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

2012
Strong Convergence of the Recursive Parzen-Type Probabilistic Neural Network Handling Nonstationary Noise.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

Weak Convergence of the Parzen-Type Probabilistic Neural Network Handling Time-Varying Noise.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

A New Fuzzy Classifier for Data Streams.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

On Resources Optimization in Fuzzy Clustering of Data Streams.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

On the Application of the Parzen-Type Kernel Regression Neural Network and Order Statistics for Learning in a Non-stationary Environment.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

On Fuzzy Clustering of Data Streams with Concept Drift.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

On Pre-processing Algorithms for Data Stream.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

2011
Weak Convergence of the Recursive Parzen-Type Probabilistic Neural Network in a Non-stationary Environment.
Proceedings of the Parallel Processing and Applied Mathematics, 2011

Strong Convergence of the Parzen-Type Probabilistic Neural Network in a Time-Varying Environment.
Proceedings of the Parallel Processing and Applied Mathematics, 2011

On General Regression Neural Network in a Nonstationary Environment.
Proceedings of the Parallel Processing and Applied Mathematics, 2011


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