Human-centered neural reasoning for subjective content processing: hate speech, emotions, and humor
P Kazienko, J Bielaniewicz, M Gruza, K Kanclerz, K Karanowski, PD Miłkowski, J Kocoń
Information Fusion 94, 43–65 · Cited by 36
2023
Konrad Karanowski
PhD Student
Konrad Karanowski is a PhD student in the genwro.AI research group at Wrocław University of Science and Technology. His research focuses on the application of artificial intelligence to natural sciences, with particular emphasis on machine learning methods for cryogenic electron microscopy (cryo-EM).
Research interests
- ai for science
- generative models
- structural biology
- computer vision
Research groups
Education
- 2023
Applied Computer Science, Bachelor's Degree Program
Wroclaw University of Technology
- 2024
Artificial Intelligence, Master's Degree
Wroclaw University of Technology
Publications9
Modeling uncertainty in personalized emotion prediction with normalizing flows
PD Miłkowski, K Karanowski, PE Wielopolski, J Kocoń, P Kazienko, MM Zięba
23nd IEEE International Conference on Data Mining Workshops (ICDMW), 1–4 December 2023 Shanghai, China 757–766
2023
The general framework for few-shot learning by kernel HyperNetworks
K Karanowski, MM Zięba, M Sendera, M Przewięźlikowski, J Miksa, M Rajski, …
Machine Vision and Applications 34, 1–16 · Cited by 11
2023
HyperShot: few-shot learning by kernel Hypernetworks
K Karanowski, MM Zięba, M Sendera, M Przewięźlikowski, J Tabor, P Spurek
2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023, 3-7 January 2023, Waikoloa, Hawaii 2468–2477 · Cited by 29
2023
Continual learning on 3D point clouds with random compressed rehearsal
M Zamorski, K Karanowski, MM Zięba, M Stypułkowski, T Trzciński
Computer Vision and Image Understanding 228, 1–8 · Cited by 11
2023
What if Ground Truth is Subjective? Personalized Deep Neural Hate Speech Detection
K Kanclerz, M Gruza, K Karanowski, J Bielaniewicz, PD Miłkowski, J Kocoń, P Kazienko
LREC 2022 37–45
2022
Deep-SHEEP: sense of humor extraction from embeddings in the personalized context
J Bielaniewicz, K Kanclerz, PD Miłkowski, M Gruza, K Karanowski, P Kazienko, J Kocoń
22nd IEEE International Conference on Data Mining Workshops (ICDMW), 28 November - 1 December 2022, Orlando, Florida 967–974 · Cited by 9
2022
Data augmentation for morphological analysis of histopathological images using deep learning
M Tabakow, K Karanowski, A Chłopowiec, A Chłopowiec, M Kasperek
ICCCI 2022 95–105
2022
Morphological analysis of histopathological images using deep learning
A Zawisza, M Tabakow, K Karanowski, KJ Galus
ICCCI 2021 134–145 · Cited by 3
2021