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

Ksieniewicz, Paweł and Zyblewski, Paweł and Borek-Marciniec, Weronika and Kozik, Rafał and Choraś, Michał and Woźniak, Michał

Engineering Applications of Artificial Intelligence, 2023

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

Ksieniewicz, P. and Zyblewski, P.

Neurocomputing, 2022
W ramach projektu IDSTREAM

Statistical Drift Detection Ensemble for batch processing of data streams

Komorniczak, Joanna and Zyblewski, Paweł and Ksieniewicz, Paweł

Knowledge-Based Systems, 2022

Imbalanced Data Stream Classification Assisted by Prior Probability Estimation

Komorniczak, Joanna and Zyblewski, Pawel and Ksieniewicz, Pawel

2022 International Joint Conference on Neural Networks (IJCNN), 2022

Cyber-Attack Detection from IoT Benchmark Considered as Data Streams

Zyblewski, Paweł and Pawlicki, Marek and Kozik, Rafał and Choraś, Michał

Lecture Notes in Networks and Systems, 2021

Clustering-Based Ensemble Pruning in the Imbalanced Data Classification

Zyblewski, Paweł

Lecture Notes in Computer Science, 2021
W ramach projektu IDSTREAM

Fusion of linear base classifiers in geometric space

Ksieniewicz, Paweł and Zyblewski, Paweł and Burduk, Robert

Knowledge-Based Systems, 2021
W ramach projektu GEOM

Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams

Zyblewski, Paweł and Sabourin, Robert and Woźniak, Michał

Information Fusion, 2021
W ramach projektu IDSTREAM

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

Sułot, Dominika and Zyblewski, Paweł and Ksieniewicz, Paweł

Lecture Notes in Computer Science, 2021
W ramach projektu IDSTREAM

Prior Probability Estimation in Dynamically Imbalanced Data Streams

Komorniczak, Joanna and Zyblewski, Pawel and Ksieniewicz, Pawel

2021 International Joint Conference on Neural Networks (IJCNN), 2021
W ramach projektu IDSTREAM

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

Zyblewski, Paweł and Woźniak, Michał

Lecture Notes in Computer Science, 2021
W ramach projektu IDSTREAM

Fake News Detection from Data Streams

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

2020 International Joint Conference on Neural Networks (IJCNN), 2020

Novel clustering-based pruning algorithms

Zyblewski, Paweł and Woźniak, Michał

Pattern Analysis and Applications, 2020
W ramach projektu IDSTREAM

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

Zyblewski, Paweł and Ksieniewicz, Paweł and Woźniak, Michał

Lecture Notes in Computer Science, 2020
W ramach projektu IDSTREAM

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

Zyblewski, Paweł and Woźniak, Michał

Computational Science – ICCS 2020, 2020
W ramach projektu IDSTREAM

Data Preprocessing and Dynamic Ensemble Selection for Imbalanced Data Stream Classification

Zyblewski, Paweł and Sabourin, Robert and Woźniak, Michał

Communications in Computer and Information Science, 2020
W ramach projektu IDSTREAM

Clustering-Based Ensemble Pruning and Multistage Organization Using Diversity

Zyblewski, Paweł and Woźniak, Michał

Hybrid Artificial Intelligent Systems, 2019
W ramach projektu IDSTREAM

Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble

Zyblewski, Paweł and Ksieniewicz, Paweł and Woźniak, Michał

Lecture Notes in Computer Science, 2019
W ramach projektu IDSTREAM