| 2024 | ACIIDS | Involving Society to Protect Society from Fake News and Disinformation: Crowdsourced Datasets and Text Reliability Assessment. | Gracjan Katek, Marta Gackowska, Joanna Komorniczak, Pawel Ksieniewicz, Rafal Kozik, Marek Pawlicki, Michal Choras |
| 2024 | ICDM | Classification of Recurrent Concepts with Metafeature-based Model Selection. | Joanna Komorniczak, Pawel Ksieniewicz |
| 2022 | ESANN | Data stream generation through real concept's interpolation. | Joanna Komorniczak, Pawel Ksieniewicz |
| 2022 | IJCNN | Inductive Parallel Learning for Multiple Classification Problems. | Weronika Borek, Pawel Ksieniewicz |
| 2022 | IJCNN | Imbalanced Data Stream Classification Assisted by Prior Probability Estimation. | Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz |
| 2021 | ICCS | 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 |
| 2021 | IJCNN | Prior Probability Estimation in Dynamically Imbalanced Data Streams. | Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz |
| 2020 | ICAISC | Combination of Active and Random Labeling Strategy in the Non-stationary Data Stream Classification. | Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak |
| 2020 | ICCS | Standard Decision Boundary in a Support-Domain of Fuzzy Classifier Prediction for the Task of Imbalanced Data Classification. | Pawel Ksieniewicz |
| 2020 | ICCS | Clustering and Weighted Scoring in Geometric Space Support Vector Machine Ensemble for Highly Imbalanced Data Classification. | Pawel Ksieniewicz, Robert Burduk |
| 2020 | ICCS | Pattern Recognition Model to Aid the Optimization of Dynamic Spectrally-Spatially Flexible Optical Networks. | Pawel Ksieniewicz, Rza Goscien, Miroslaw Klinkowski, Krzysztof Walkowiak |
| 2020 | ICCS | Sentiment Analysis for Fake News Detection by Means of Neural Networks. | Sebastian Kula, Michal Choras, Rafal Kozik, Pawel Ksieniewicz, Michal Wozniak |
| 2020 | IJCNN | Fake News Detection from Data Streams. | Pawel Ksieniewicz, Pawel Zyblewski, Michal Choras, Rafal Kozik, Agata Gielczyk, Michal Wozniak |
| 2019 | HAIS | Combining Random Subspace Approach with smote Oversampling for Imbalanced Data Classification. | Pawel Ksieniewicz |
| 2019 | ICAISC | Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble. | Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak |
| 2019 | IDEAL | SMOTE Algorithm Variations in Balancing Data Streams. | Bogdan Gulowaty, Pawel Ksieniewicz |
| 2019 | IDEAL | A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification. | Jakub Klikowski, Pawel Ksieniewicz, Michal Wozniak |
| 2019 | IDEAL | Imbalance Reduction Techniques Applied to ECG Classification Problem. | Jedrzej Kozal, Pawel Ksieniewicz |
| 2019 | IDEAL | Machine Learning Methods for Fake News Classification. | Pawel Ksieniewicz, Michal Choras, Rafal Kozik, Michal Wozniak |
| 2018 | CEC | An Empirical Insight Into Concept Drift Detectors Ensemble Strategies. | Andrzej Lapinski, Bartosz Krawczyk, Pawel Ksieniewicz, Michal Wozniak |
| 2018 | IDEAL | Combined Classifier Based on Quantized Subspace Class Distribution. | Pawel Ksieniewicz |
| 2018 | IDEAL | Imbalanced Data Classification Based on Feature Selection Techniques. | Pawel Ksieniewicz, Michal Wozniak |
| 2016 | HAIS | Active Learning Classifier for Streaming Data. | Michal Wozniak, Boguslaw Cyganek, Andrzej Kasprzak, Pawel Ksieniewicz, Krzysztof Walkowiak |
| 2016 | ICCS | Active Learning Classification of Drifted Streaming Data. | Michal Wozniak, Pawel Ksieniewicz, Boguslaw Cyganek, Andrzej Kasprzak, Krzysztof Walkowiak |
| 2015 | ICCCI | Blurred Labeling Segmentation Algorithm for Hyperspectral Images. | Pawel Ksieniewicz, Manuel Graa, Michal Wozniak |
| 2014 | HAIS | Hyperspectral Image Analysis Based on Color Channels and Ensemble Classifier. | Bartosz Krawczyk, Pawel Ksieniewicz, Michal Wozniak |