Pawel Zyblewski

According to our database, Pawel Zyblewski authored at least 27 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Cross-Modality Clustering-based Self-Labeling for Multimodal Data Classification.

Pawel Zyblewski, Leandro L. Minku

CoRR, 2024

Employing Sentence Space Embedding for Classification of Data Stream from Fake News Domain.

Pawel Zyblewski, Jakub Klikowski, Weronika Borek-Marciniec, Pawel Ksieniewicz

CoRR, 2024

WarCov - Large multilabel and multimodal dataset from social platform.

Weronika Borek-Marciniec, Pawel Zyblewski, Jakub Klikowski, Pawel Ksieniewicz

CoRR, 2024

Employing Two-Dimensional Word Embedding for Difficult Tabular Data Stream Classification.

Pawel Zyblewski

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

2023

Active Weighted Aging Ensemble for drifted data stream classification.

Michal Wozniak, Pawel Zyblewski, Pawel Ksieniewicz

Inf. Sci., June, 2023

<i>Alphabet Flatting</i> as a variant of n-gram feature extraction method in ensemble classification of fake news.

Pawel Ksieniewicz, Pawel Zyblewski, Weronika Borek-Marciniec, Rafal Kozik, Michal Choras, Michal Wozniak

Eng. Appl. Artif. Intell., April, 2023

A Non-deep Approach to Classifying Movie Genres Based on Multimodal Data.

Pawel Niedziólka, Pawel Zyblewski

Proceedings of the Progress on Pattern Classification, Image Processing and Communications, 2023

2022

Statistical Drift Detection Ensemble for batch processing of data streams.

Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz

Knowl. Based Syst., 2022

<i>Stream-learn</i> - open-source <i>Python</i> library for difficult data stream batch analysis.

Pawel Ksieniewicz, Pawel Zyblewski

Neurocomputing, 2022

Lifelong Learning Natural Language Processing Approach for Multilingual Data Classification.

Jedrzej Kozal, Michal Les, Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak

CoRR, 2022

Imbalanced Data Stream Classification Assisted by Prior Probability Estimation.

Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz

Proceedings of the International Joint Conference on Neural Networks, 2022

Feature Integration Strategies for Multilingual Fake News Classification.

Jedrzej Kozal, Michal Les, Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Fusion of linear base classifiers in geometric space.

Pawel Ksieniewicz, Pawel Zyblewski, Robert Burduk

Knowl. Based Syst., 2021

Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams.

Pawel Zyblewski, Robert Sabourin, Michal Wozniak

Inf. Fusion, 2021

Prior Probability Estimation in Dynamically Imbalanced Data Streams.

Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz

Proceedings of the International Joint Conference on Neural Networks, 2021

Clustering-Based Ensemble Pruning in the Imbalanced Data Classification.

Pawel Zyblewski

Proceedings of the Computational Science - ICCS 2021, 2021

Analysis of Variance Application in the Construction of Classifier Ensemble Based on Optimal Feature Subset for the Task of Supporting Glaucoma Diagnosis.

Dominika Sulot, Pawel Zyblewski, Pawel Ksieniewicz

Proceedings of the Computational Science - ICCS 2021, 2021

Dynamic Ensemble Selection for Imbalanced Data Stream Classification with Limited Label Access.

Pawel Zyblewski, Michal Wozniak

Proceedings of the Artificial Intelligence and Soft Computing, 2021

Cyber-Attack Detection from IoT Benchmark Considered as Data Streams.

Pawel Zyblewski, Marek Pawlicki, Rafal Kozik, Michal Choras

Proceedings of the Progress in Image Processing, Pattern Recognition and Communication Systems, 2021

2020

Novel clustering-based pruning algorithms.

Pawel Zyblewski, Michal Wozniak

Pattern Anal. Appl., 2020

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

Pawel Ksieniewicz, Pawel Zyblewski

CoRR, 2020

Fake News Detection from Data Streams.

Pawel Ksieniewicz, Pawel Zyblewski, Michal Choras, Rafal Kozik, Agata Gielczyk, Michal Wozniak

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Dynamic Classifier Selection for Data with Skewed Class Distribution Using Imbalance Ratio and Euclidean Distance.

Pawel Zyblewski, Michal Wozniak

Proceedings of the Computational Science - ICCS 2020, 2020

Combination of Active and Random Labeling Strategy in the Non-stationary Data Stream Classification.

Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak

Proceedings of the Artificial Intelligence and Soft Computing, 2020

2019

Data Preprocessing and Dynamic Ensemble Selection for Imbalanced Data Stream Classification.

Pawel Zyblewski, Robert Sabourin, Michal Wozniak

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble.

Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak

Proceedings of the Artificial Intelligence and Soft Computing, 2019

Clustering-Based Ensemble Pruning and Multistage Organization Using Diversity.

Pawel Zyblewski, Michal Wozniak

Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019