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ORCIDPawel Zyblewski
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2020 – today
- 2024
[c15]Pawel Zyblewski
:
Employing Two-Dimensional Word Embedding for Difficult Tabular Data Stream Classification. ECML/PKDD (8) 2024: 73-89- [i7]Pawel Zyblewski:
Employing Two-Dimensional Word Embedding for Difficult Tabular Data Stream Classification. CoRR abs/2404.15836 (2024) - [i6]Weronika Borek-Marciniec, Pawel Zyblewski, Jakub Klikowski, Pawel Ksieniewicz:
WarCov - Large multilabel and multimodal dataset from social platform. CoRR abs/2406.10255 (2024) - [i5]Pawel Zyblewski, Jakub Klikowski, Weronika Borek-Marciniec, Pawel Ksieniewicz:
Employing Sentence Space Embedding for Classification of Data Stream from Fake News Domain. CoRR abs/2407.10807 (2024) - [i4]Pawel Zyblewski, Leandro L. Minku:
Cross-Modality Clustering-based Self-Labeling for Multimodal Data Classification. CoRR abs/2408.02568 (2024) - 2023
- [j7]Pawel Ksieniewicz, Pawel Zyblewski, Weronika Borek-Marciniec, Rafal Kozik, Michal Choras, Michal Wozniak:
Alphabet Flatting as a variant of n-gram feature extraction method in ensemble classification of fake news. Eng. Appl. Artif. Intell. 120: 105882 (2023) - [j6]Michal Wozniak, Pawel Zyblewski, Pawel Ksieniewicz:
Active Weighted Aging Ensemble for drifted data stream classification. Inf. Sci. 630: 286-304 (2023) - [c14]Pawel Niedziólka, Pawel Zyblewski:
A Non-deep Approach to Classifying Movie Genres Based on Multimodal Data. CORES/IP&C 2023: 23-33 - 2022
- [j5]Pawel Ksieniewicz, Pawel Zyblewski:
Stream-learn - open-source Python library for difficult data stream batch analysis. Neurocomputing 478: 11-21 (2022) - [j4]Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz:
Statistical Drift Detection Ensemble for batch processing of data streams. Knowl. Based Syst. 252: 109380 (2022) - [c13]Jedrzej Kozal, Michal Les, Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak:
Feature Integration Strategies for Multilingual Fake News Classification. IEEE Big Data 2022: 5049-5058 - [c12]Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz:
Imbalanced Data Stream Classification Assisted by Prior Probability Estimation. IJCNN 2022: 1-8 - [i3]Jedrzej Kozal, Michal Les, Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak:
Lifelong Learning Natural Language Processing Approach for Multilingual Data Classification. CoRR abs/2206.11867 (2022) - 2021
- [j3]Pawel Zyblewski, Robert Sabourin, Michal Wozniak:
Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams. Inf. Fusion 66: 138-154 (2021) - [j2]Pawel Ksieniewicz, Pawel Zyblewski, Robert Burduk:
Fusion of linear base classifiers in geometric space. Knowl. Based Syst. 227: 107231 (2021) - [c11]Pawel Zyblewski, Marek Pawlicki, Rafal Kozik, Michal Choras:
Cyber-Attack Detection from IoT Benchmark Considered as Data Streams. CORES/IP&C/ACS 2021: 230-239 - [c10]Pawel Zyblewski, Michal Wozniak:
Dynamic Ensemble Selection for Imbalanced Data Stream Classification with Limited Label Access. ICAISC (2) 2021: 217-226 - [c9]Dominika Sulot, Pawel Zyblewski, Pawel Ksieniewicz:
Analysis of Variance Application in the Construction of Classifier Ensemble Based on Optimal Feature Subset for the Task of Supporting Glaucoma Diagnosis. ICCS (3) 2021: 109-117 - [c8]Pawel Zyblewski:
Clustering-Based Ensemble Pruning in the Imbalanced Data Classification. ICCS (3) 2021: 156-171 - [c7]Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz:
Prior Probability Estimation in Dynamically Imbalanced Data Streams. IJCNN 2021: 1-7 - [i2]Michal Wozniak, Pawel Zyblewski, Pawel Ksieniewicz:
Active Weighted Aging Ensemble for Drifted Data Stream Classification. CoRR abs/2112.10150 (2021) - 2020
- [j1]Pawel Zyblewski, Michal Wozniak:
Novel clustering-based pruning algorithms. Pattern Anal. Appl. 23(3): 1049-1058 (2020) - [c6]Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak:
Combination of Active and Random Labeling Strategy in the Non-stationary Data Stream Classification. ICAISC (1) 2020: 576-585 - [c5]Pawel Zyblewski, Michal Wozniak:
Dynamic Classifier Selection for Data with Skewed Class Distribution Using Imbalance Ratio and Euclidean Distance. ICCS (4) 2020: 59-73 - [c4]Pawel Ksieniewicz, Pawel Zyblewski, Michal Choras, Rafal Kozik, Agata Gielczyk, Michal Wozniak:
Fake News Detection from Data Streams. IJCNN 2020: 1-8 - [i1]Pawel Ksieniewicz, Pawel Zyblewski:
stream-learn - open-source Python library for difficult data stream batch analysis. CoRR abs/2001.11077 (2020)
2010 – 2019
- 2019
- [c3]Pawel Zyblewski, Michal Wozniak:
Clustering-Based Ensemble Pruning and Multistage Organization Using Diversity. HAIS 2019: 287-298 - [c2]Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak:
Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble. ICAISC (1) 2019: 626-635 - [c1]Pawel Zyblewski, Robert Sabourin, Michal Wozniak:
Data Preprocessing and Dynamic Ensemble Selection for Imbalanced Data Stream Classification. PKDD/ECML Workshops (2) 2019: 367-379
Coauthor Index
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