Publications

Kamil Kanclerz, Konrad Karanowski, Julita Bielaniewicz, Marcin Gruza, Piotr Miłkowski, Jan Kocoń, Przemysław Kazienko (2023). PALS: Personalized Active Learning for Subjective Tasks in NLP. In EMNLP2023.

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Piotr Miłkowski, Konrad Karanowski, Patryk Wielopolski, Jan Kocoń, Przemysław Kazienko, Maciej Zięba (2023). Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows. In ICDMW2023.

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Konrad Karanowski, Adam R. Chłopowiec, Tomasz Skrzypczak, Mateusz Grzesiuk, Adrian B. Chłopowiec, Martin Tabakov (2023). Counteracting Data Bias and Class Imbalance—Towards a Useful and Reliable Retinal Disease Recognition System. In Diagnostics.

Marcin Sendera, Marcin Przewięźlikowski, Jan Miksa, Mateusz Rajski, Konrad Karanowski, Maciej Zięba, Jacek Tabor, Przemysław Spurek (2023). The general framework for few-shot learning by kernel HyperNetworks. Machine Vision and Applications.

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Martin Tabakov, Krzysztof Galus, Artur Zawisza, Adam R. Chlopowiec, Adrian B. Chlopowiec, Konrad Karanowski (2023). Synthetic Data Generation for Morphological Analyses of Histopathology Images with Deep Learning Models. In Viet. Comp. Sci..

Przemysław Kazienko, Julita Bielaniewicz, Marcin Gruza, Kamil Kanclerz, Konrad Karanowski, Piotr Miłkowski, Jan Kocoń (2023). Human-centered neural reasoning for subjective content processing: Hate speech, emotions, and humor. Information Fusion.

Julita Bielaniewicz, Kamil Kanclerz, Piotr Miłkowski, Marcin Gruza, Konrad Karanowski, Przemysław Kazienko, Jan Kocoń (2022). Deep-SHEEP: Sense of Humor Extraction from Embeddings in the Personalized Context. In ICDMW2022.

Martin Tabakov, Konrad Karanowski, Adam R. Chłopowiec, Adrian B. Chłopowiec, Mikołaj Kasperek (2022). Data Augmentation for Morphological Analysis of Histopathological Images Using Deep Learning. In ICCCI2022.

Kamil Kanclerz, Marcin Gruza, Konrad Karanowski, Julita Bielaniewicz, Piotr Miłkowski, Jan Kocoń, Przemysław Kazienko (2022). What if Ground Truth is Subjective? Personalized Deep Neural Hate Speech Detection. In @LREC2022.

Maciej Zamorski, Michał Stypułkowski, Konrad Karanowski, Tomasz Trzciński, Maciej Zięba (2022). Continual learning on 3D point clouds with random compressed rehearsal. Computer Vision and Image Understanding.

Marcin Sendera, Marcin Przewięźlikowski, Konrad Karanowski, Maciej Zięba, Jacek Tabor, Przemysław Spurek (2022). HyperShot: Few-Shot Learning by Kernel HyperNetworks. In WACV2022.

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Artur Zawisza, Martin Tabakov, Konrad Karanowski, Krzysztof Galus (2021). Data Augmentation for Morphological Analysis of Histopathological Images Using Deep Learning. In ICCCI2021.