Paweł Zyblewski

Research and Teaching Assistant

University of Wrocław

Poland

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About

Paweł Zyblewski is a Research and Teaching Assistant at Wrocław University of Science and Technology in Poland. His research areas focus on data stream evaluation, classification methods, and machine learning innovations, as evidenced by his recent publications. Key topics include advancements in data stream classification, feature extraction for fake news detection, and the development of open-source tools for batch analysis of data streams.

Articles (8)

Year:

2025

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Collaborators (2)

Pawel Ksieniewicz

assistant professor

University of Wrocław

POLAND

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Robert Burduk

Wittenberg University

POLAND

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Paweł Zyblewski

Research Interests

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Articles (8)

Structuring the Processing Frameworks for Data Stream Evaluation and Application

Active Weighted Aging Ensemble for drifted data stream classification

Alphabet Flatting as a variant of n-gram feature extraction method in ensemble classification of fake news

Statistical Drift Detection Ensemble for batch processing of data streams

Stream-learn — open-source Python library for difficult data stream batch analysis

Fusion of linear base classifiers in geometric space

Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams

Novel clustering-based pruning algorithms

Collaborators (2)

Pawel Ksieniewicz

Robert Burduk

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