Joanna Komorniczak

According to our database, Joanna Komorniczak authored at least 22 papers between 2021 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

Structuring the Processing Frameworks for Data Stream Evaluation and Application.

Joanna Komorniczak, Pawel Ksieniewicz, Pawel Zyblewski

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

Complexity-based drift detection for nonstationary data streams.

Joanna Komorniczak, Pawel Ksieniewicz

Neurocomputing, October, 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

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

Analysis of Extractive Text Summarization Methods as a Binary Classification Problem.

Joanna Komorniczak, Szymon Wojciechowski, Jakub Klikowski, Rafal Kozik, 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

Statistical Drift Detection Ensemble for batch processing of data streams.

Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz

Knowl. Based Syst., 2022

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

Joanna Komorniczak, Pawel Ksieniewicz

CoRR, 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

Data stream generation through real concept's interpolation.

Joanna Komorniczak, Pawel Ksieniewicz

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

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