| Human-centered neural reasoning for subjective content processing: Hate speech, emotions, and humor P Kazienko, J Bielaniewicz, M Gruza, K Kanclerz, K Karanowski, ... Information Fusion 94, 43-65, 2023 | 31 | 2023 |
| Hypershot: Few-shot learning by kernel hypernetworks M Sendera, M Przewięźlikowski, K Karanowski, M Zięba, J Tabor, ... arXiv preprint arXiv:2203.11378, 2022 | 23 | 2022 |
| What if ground truth is subjective? personalized deep neural hate speech detection K Kanclerz, M Gruza, K Karanowski, J Bielaniewicz, P Miłkowski, J Kocoń, ... Proceedings of the 1st Workshop on Perspectivist Approaches to NLP@ LREC2022 …, 2022 | 22 | 2022 |
| Deep-sheep: Sense of humor extraction from embeddings in the personalized context J Bielaniewicz, K Kanclerz, P Miłkowski, M Gruza, K Karanowski, ... 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 967-974, 2022 | 11 | 2022 |
| Continual learning on 3D point clouds with random compressed rehearsal M Zamorski, M Stypułkowski, K Karanowski, T Trzciński, M Zięba Computer Vision and Image Understanding 228, 103621, 2023 | 6 | 2023 |
| PALS: Personalized Active Learning for Subjective Tasks in NLP K Kanclerz, K Karanowski, J Bielaniewicz, M Gruza, P Miłkowski, J Kocoń, ... Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 3 | 2023 |
| The general framework for few-shot learning by kernel HyperNetworks M Sendera, M Przewiȩźlikowski, J Miksa, M Rajski, K Karanowski, ... Machine Vision and Applications 34 (4), 53, 2023 | 3 | 2023 |
| Morphological analysis of histopathological images using deep learning A Zawisza, M Tabakov, K Karanowski, K Galus Advances in Computational Collective Intelligence: 13th International …, 2021 | 3 | 2021 |
| Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows P Miłkowski, K Karanowski, P Wielopolski, J Kocoń, P Kazienko, M Zięba 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 757-766, 2023 | 1 | 2023 |
| Data augmentation for morphological analysis of histopathological images using deep learning M Tabakov, K Karanowski, AR Chlopowiec, AB Chlopowiec, M Kasperek International Conference on Computational Collective Intelligence, 95-105, 2022 | 1 | 2022 |
| Synthetic Data Generation for Morphological Analyses of Histopathology Images with Deep Learning Models M Tabakov, K Galus, A Zawisza, AR Chlopowiec, AB Chlopowiec, ... Vietnam Journal of Computer Science 10 (03), 373-389, 2023 | | 2023 |
| Counteracting data bias and class imbalance–towards useful and reliable retinal disease recognition system K Karanowski, AR Chłopowiec, T Skrzypczak, M Grzesiuk, ... | | 2023 |
| HyperShot: Few-Shot Learning by Kernel HyperNetworks–supplementary material M Sendera, M Przewiezlikowski, K Karanowski, M Zieba, J Tabor, ... | | |
Piotr MiłkowskiWrocław University of Science and TechnologyZweryfikowany adres z pwr.edu.pl
