Pawel Ksieniewicz

According to our database, Pawel Ksieniewicz authored at least 70 papers between 2014 and 2024.

Collaborative distances:

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

2024

On metafeatures' ability of implicit concept identification.

Joanna Komorniczak, Pawel Ksieniewicz

Mach. Learn., October, 2024

<i>torchosr</i> - A <i>PyTorch</i> extension package for <i>Open Set Recognition</i> models evaluation in <i>Python</i>.

Joanna Komorniczak, Pawel Ksieniewicz

Neurocomputing, January, 2024

Towards explainable fake news detection and automated content credibility assessment: Polish internet and digital media use-case.

Rafal Kozik, Gracjan Katek, Marta Gackowska, Sebastian Kula, Joanna Komorniczak, Pawel Ksieniewicz, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras

Neurocomputing, 2024

Distance profile layer for binary classification and density estimation.

Joanna Komorniczak, Pawel Ksieniewicz

Neurocomputing, 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

Unsupervised Concept Drift Detection based on Parallel Activations of Neural Network.

Joanna Komorniczak, Pawel Ksieniewicz

CoRR, 2024

Taking Class Imbalance Into Account in Open Set Recognition Evaluation.

Joanna Komorniczak, Pawel Ksieniewicz

CoRR, 2024

Certainty-Based Neural Network Architecture Selection Framework for TinyML Systems.

Joanna Komorniczak, Tobiasz Puslecki, Pawel Ksieniewicz, Krzysztof Walkowiak

IEEE Access, 2024

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

Proceedings of the Intelligent Information and Database Systems - 16th Asian Conference, 2024

2023

Neural network architecture with intermediate distribution-driven layer for classification of multidimensional data with low class separability.

Weronika Borek-Marciniec, Pawel Ksieniewicz

Appl. Intell., November, 2023

Complexity-based drift detection for nonstationary data streams.

Joanna Komorniczak, Pawel Ksieniewicz

Neurocomputing, October, 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

Processing data stream with chunk-similarity model selection.

Pawel Ksieniewicz

Appl. Intell., April, 2023

<i>problexity</i> - An open-source <i>Python</i> library for supervised learning problem complexity assessment.

Joanna Komorniczak, Pawel Ksieniewicz

Neurocomputing, 2023

torchosr - a PyTorch extension package for Open Set Recognition models evaluation in Python.

Joanna Komorniczak, Pawel Ksieniewicz

CoRR, 2023

Incremental Extreme Learning Machine for Binary Data Stream Classification.

Karol Wojtachnia, Joanna Komorniczak, Pawel Ksieniewicz

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

Analysis of the Possibility to Employ Relationship Between the Problem Complexity and the Classification Quality as Model Optimization Proxy.

Joanna Komorniczak, Pawel Ksieniewicz, Michal Wozniak

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

Hollow n-grams Vectorizer for Natural Language Processing Problems.

Weronika Borek-Marciniec, Pawel Ksieniewicz

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

SWAROG Project Approach to Fake News Detection Problem.

Rafal Kozik, Joanna Komorniczak, Pawel Ksieniewicz, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras

Proceedings of the International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023), 2023

2022

Efficient dynamic routing in Spectrally-Spatially Flexible Optical Networks based on traffic categorization and supervised learning methods.

Róza Goscien, Pawel Ksieniewicz

Opt. Switch. Netw., 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

problexity - an open-source Python library for binary classification problem complexity assessment.

Joanna Komorniczak, Pawel Ksieniewicz

CoRR, 2022

Lifelong Learning Natural Language Processing Approach for Multilingual Data Classification.

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

CoRR, 2022

Hybrid Regression Model for Link Dimensioning in Spectrally-Spatially Flexible Optical Networks.

Szymon Wojciechowski, Róza Goscien, Pawel Ksieniewicz, Krzysztof Walkowiak

IEEE Access, 2022

Data complexity and classification accuracy correlation in oversampling algorithms.

Joanna Komorniczak, Pawel Ksieniewicz, Michal Wozniak

Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 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

Inductive Parallel Learning for Multiple Classification Problems.

Weronika Borek, Pawel Ksieniewicz

Proceedings of the International Joint Conference on Neural Networks, 2022

Data stream generation through real concept's interpolation.

Joanna Komorniczak, Pawel Ksieniewicz

Proceedings of the 30th European Symposium on Artificial 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

The prior probability in the batch classification of imbalanced data streams.

Pawel Ksieniewicz

Neurocomputing, 2021

How to design the fair experimental classifier evaluation.

Katarzyna Stapor, Pawel Ksieniewicz, Salvador García, Michal Wozniak

Appl. Soft Comput., 2021

Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study.

Michal Choras, Konstantinos P. Demestichas, Agata Gielczyk, Álvaro Herrero, Pawel Ksieniewicz, Konstantina Remoundou, Daniel Urda, Michal Wozniak

Appl. Soft Comput., 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

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

2020

Application of Imbalanced Data Classification Quality Metrics as Weighting Methods of the Ensemble Data Stream Classification Algorithms.

Weronika Wegier, Pawel Ksieniewicz

Entropy, 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

Sentiment Analysis for Fake News Detection by Means of Neural Networks.

Sebastian Kula, Michal Choras, Rafal Kozik, Pawel Ksieniewicz, Michal Wozniak

Proceedings of the Computational Science - ICCS 2020, 2020

Pattern Recognition Model to Aid the Optimization of Dynamic Spectrally-Spatially Flexible Optical Networks.

Pawel Ksieniewicz, Róza Goscien, Miroslaw Klinkowski, Krzysztof Walkowiak

Proceedings of the Computational Science - ICCS 2020, 2020

Clustering and Weighted Scoring in Geometric Space Support Vector Machine Ensemble for Highly Imbalanced Data Classification.

Pawel Ksieniewicz, Robert Burduk

Proceedings of the Computational Science - ICCS 2020, 2020

Standard Decision Boundary in a Support-Domain of Fuzzy Classifier Prediction for the Task of Imbalanced Data Classification.

Pawel Ksieniewicz

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 stream classification using active learned neural networks.

Pawel Ksieniewicz, Michal Wozniak, Boguslaw Cyganek, Andrzej Kasprzak, Krzysztof Walkowiak

Neurocomputing, 2019

Machine Learning Methods for Fake News Classification.

Pawel Ksieniewicz, Michal Choras, Rafal Kozik, Michal Wozniak

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Imbalance Reduction Techniques Applied to ECG Classification Problem.

Jedrzej Kozal, Pawel Ksieniewicz

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification.

Jakub Klikowski, Pawel Ksieniewicz, Michal Wozniak

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

SMOTE Algorithm Variations in Balancing Data Streams.

Bogdan Gulowaty, Pawel Ksieniewicz

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 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

Combining Random Subspace Approach with smote Oversampling for Imbalanced Data Classification.

Pawel Ksieniewicz

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

2018

Ensemble of Extreme Learning Machines with trained classifier combination and statistical features for hyperspectral data.

Pawel Ksieniewicz, Bartosz Krawczyk, Michal Wozniak

Neurocomputing, 2018

Undersampled Majority Class Ensemble for highly imbalanced binary classification.

Pawel Ksieniewicz

Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018

Imbalanced Data Classification Based on Feature Selection Techniques.

Pawel Ksieniewicz, Michal Wozniak

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Combined Classifier Based on Quantized Subspace Class Distribution.

Pawel Ksieniewicz

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

An Empirical Insight Into Concept Drift Detectors Ensemble Strategies.

Andrzej Lapinski, Bartosz Krawczyk, Pawel Ksieniewicz, Michal Wozniak

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Paired feature multilayer ensemble - concept and evaluation of a classifier.

Pawel Ksieniewicz, Manuel Graña, Michal Wozniak

J. Intell. Fuzzy Syst., 2017

Dealing with the task of imbalanced, multidimensional data classification using ensembles of exposers.

Pawel Ksieniewicz, Michal Wozniak

Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

2016

A First Attempt to Construct Effective Concept Drift Detector Ensembles.

Michal Wozniak, Pawel Ksieniewicz, Andrzej Kasprzak, Karol Puchala, Przemyslaw Ryba

Proceedings of the Image Processing and Communications Challenges 8, 2016

Active Learning Classification of Drifted Streaming Data.

Michal Wozniak, Pawel Ksieniewicz, Boguslaw Cyganek, Andrzej Kasprzak, Krzysztof Walkowiak

Proceedings of the International Conference on Computational Science 2016, 2016

Active Learning Classifier for Streaming Data.

Michal Wozniak, Boguslaw Cyganek, Andrzej Kasprzak, Pawel Ksieniewicz, Krzysztof Walkowiak

Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

Ensemble of One-Dimensional Classifiers for Hyperspectral Image Analysis.

Pawel Ksieniewicz, Bartosz Krawczyk, Michal Wozniak

Proceedings of the Data Mining and Big Data, First International Conference, 2016

Ensembles of Heterogeneous Concept Drift Detectors - Experimental Study.

Michal Wozniak, Pawel Ksieniewicz, Boguslaw Cyganek, Krzysztof Walkowiak

Proceedings of the Computer Information Systems and Industrial Management, 2016

2015

A novel hyperspectral segmentation algorithm - concept and evaluation.

Pawel Ksieniewicz, Dariusz Jankowski, Borja Ayerdi, Konrad Jackowski, Manuel Graña, Michal Wozniak

Log. J. IGPL, 2015

Blurred Labeling Segmentation Algorithm for Hyperspectral Images.

Pawel Ksieniewicz, Manuel Graña, Michal Wozniak

Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015

Artificial Photoreceptors for Ensemble Classification of Hyperspectral Images.

Pawel Ksieniewicz, Michal Wozniak

Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

2014

Hyperspectral Image Analysis Based on Quad Tree Decomposition.

Bartosz Krawczyk, Pawel Ksieniewicz, Michal Wozniak

Proceedings of the International Joint Conference SOCO'14-CISIS'14-ICEUTE'14, 2014

Hyperspectral Image Analysis Based on Color Channels and Ensemble Classifier.

Bartosz Krawczyk, Pawel Ksieniewicz, Michal Wozniak

Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014