Pawel Zyblewski

Orcid: 0000-0002-4224-6709

According to our database1, Pawel Zyblewski authored at least 27 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Cross-Modality Clustering-based Self-Labeling for Multimodal Data Classification.
CoRR, 2024

Employing Sentence Space Embedding for Classification of Data Stream from Fake News Domain.
CoRR, 2024

WarCov - Large multilabel and multimodal dataset from social platform.
CoRR, 2024

Employing Two-Dimensional Word Embedding for Difficult Tabular Data Stream Classification.
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.
Inf. Sci., June, 2023

<i>Alphabet Flatting</i> as a variant of n-gram feature extraction method in ensemble classification of fake news.
Eng. Appl. Artif. Intell., April, 2023

A Non-deep Approach to Classifying Movie Genres Based on Multimodal Data.
Proceedings of the Progress on Pattern Classification, Image Processing and Communications, 2023

2022
Statistical Drift Detection Ensemble for batch processing of data streams.
Knowl. Based Syst., 2022

<i>Stream-learn</i> - open-source <i>Python</i> library for difficult data stream batch analysis.
Neurocomputing, 2022

Lifelong Learning Natural Language Processing Approach for Multilingual Data Classification.
CoRR, 2022

Imbalanced Data Stream Classification Assisted by Prior Probability Estimation.
Proceedings of the International Joint Conference on Neural Networks, 2022

Feature Integration Strategies for Multilingual Fake News Classification.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Fusion of linear base classifiers in geometric space.
Knowl. Based Syst., 2021

Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams.
Inf. Fusion, 2021

Prior Probability Estimation in Dynamically Imbalanced Data Streams.
Proceedings of the International Joint Conference on Neural Networks, 2021

Clustering-Based Ensemble Pruning in the Imbalanced Data Classification.
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.
Proceedings of the Computational Science - ICCS 2021, 2021

Dynamic Ensemble Selection for Imbalanced Data Stream Classification with Limited Label Access.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

Cyber-Attack Detection from IoT Benchmark Considered as Data Streams.
Proceedings of the Progress in Image Processing, Pattern Recognition and Communication Systems, 2021

2020
Novel clustering-based pruning algorithms.
Pattern Anal. Appl., 2020

stream-learn - open-source Python library for difficult data stream batch analysis.
CoRR, 2020

Fake News Detection from Data Streams.
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.
Proceedings of the Computational Science - ICCS 2020, 2020

Combination of Active and Random Labeling Strategy in the Non-stationary Data Stream Classification.
Proceedings of the Artificial Intelligence and Soft Computing, 2020

2019
Data Preprocessing and Dynamic Ensemble Selection for Imbalanced Data Stream Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

Clustering-Based Ensemble Pruning and Multistage Organization Using Diversity.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019


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