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ORCIDJoanna Komorniczak
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2020 – today
- 2024
[j8]Joanna Komorniczak
, Tobiasz Puslecki, Pawel Ksieniewicz, Krzysztof Walkowiak:
Certainty-Based Neural Network Architecture Selection Framework for TinyML Systems. IEEE Access 12: 155632-155643 (2024)- [j7]Joanna Komorniczak, Pawel Ksieniewicz:
torchosr - A PyTorch extension package for Open Set Recognition models evaluation in Python. Neurocomputing 566: 127047 (2024) - [j6]Joanna Komorniczak, Pawel Ksieniewicz:
Distance profile layer for binary classification and density estimation. Neurocomputing 579: 127436 (2024) - [j5]Rafal Kozik, Gracjan Katek, Marta Gackowska, Sebastian Kula, Joanna Komorniczak, Pawel Ksieniewicz, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
Towards explainable fake news detection and automated content credibility assessment: Polish internet and digital media use-case. Neurocomputing 608: 128450 (2024) - [j4]Joanna Komorniczak, Pawel Ksieniewicz:
On metafeatures' ability of implicit concept identification. Mach. Learn. 113(10): 7931-7966 (2024) - [c9]Gracjan Katek, Marta Gackowska, Joanna Komorniczak, Pawel Ksieniewicz, Rafal Kozik, Marek Pawlicki, Michal Choras:
Involving Society to Protect Society from Fake News and Disinformation: Crowdsourced Datasets and Text Reliability Assessment. ACIIDS (2) 2024: 384-395 - [i4]Joanna Komorniczak, Pawel Ksieniewicz:
Taking Class Imbalance Into Account in Open Set Recognition Evaluation. CoRR abs/2402.06331 (2024) - [i3]Joanna Komorniczak, Pawel Ksieniewicz:
Unsupervised Concept Drift Detection based on Parallel Activations of Neural Network. CoRR abs/2404.07776 (2024) - 2023
- [j3]Joanna Komorniczak, Pawel Ksieniewicz:
problexity - An open-source Python library for supervised learning problem complexity assessment. Neurocomputing 521: 126-136 (2023) - [j2]Joanna Komorniczak, Pawel Ksieniewicz:
Complexity-based drift detection for nonstationary data streams. Neurocomputing 552: 126554 (2023) - [c8]Rafal Kozik, Joanna Komorniczak, Pawel Ksieniewicz, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
SWAROG Project Approach to Fake News Detection Problem. CISIS-ICEUTE 2023: 79-88 - [c7]Joanna Komorniczak, Szymon Wojciechowski, Jakub Klikowski, Rafal Kozik, Michal Choras:
Analysis of Extractive Text Summarization Methods as a Binary Classification Problem. CISIS-ICEUTE 2023: 91-100 - [c6]Karol Wojtachnia, Joanna Komorniczak, Pawel Ksieniewicz:
Incremental Extreme Learning Machine for Binary Data Stream Classification. CORES/IP&C 2023: 35-44 - [c5]Joanna Komorniczak, Pawel Ksieniewicz, Michal Wozniak:
Analysis of the Possibility to Employ Relationship Between the Problem Complexity and the Classification Quality as Model Optimization Proxy. CORES/IP&C 2023: 71-82 - [i2]Joanna Komorniczak, Pawel Ksieniewicz:
torchosr - a PyTorch extension package for Open Set Recognition models evaluation in Python. CoRR abs/2305.09646 (2023) - 2022
- [j1]Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz:
Statistical Drift Detection Ensemble for batch processing of data streams. Knowl. Based Syst. 252: 109380 (2022) - [c4]Joanna Komorniczak, Pawel Ksieniewicz:
Data stream generation through real concept's interpolation. ESANN 2022 - [c3]Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz:
Imbalanced Data Stream Classification Assisted by Prior Probability Estimation. IJCNN 2022: 1-8 - [c2]Joanna Komorniczak, Pawel Ksieniewicz, Michal Wozniak:
Data complexity and classification accuracy correlation in oversampling algorithms. LIDTA 2022: 175-186 - [i1]Joanna Komorniczak, Pawel Ksieniewicz:
problexity - an open-source Python library for binary classification problem complexity assessment. CoRR abs/2207.06709 (2022) - 2021
- [c1]Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz:
Prior Probability Estimation in Dynamically Imbalanced Data Streams. IJCNN 2021: 1-7
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