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 · 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
IEEE International Conference on Data Mining Workshops, ICDMW
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 · 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/CVF Winter Conference on Applications of Computer Vision · 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
1st Workshop on Perspectivist Approaches to Disagreement in NLP, NLPerspectives 2022 as part of Language Resources and Evaluation Conference, LREC 2022 Workshop
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
2022 IEEE International Conference on Data Mining Workshops · 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
Conference paper
2022
Morphological analysis of histopathological images using deep learning
A Zawisza, M Tabakow, K Karanowski, KJ Galus
Conference paper · Cited by 3
2021