What would you ask the machine learning model? Identification of user needs for model explanations based on human-model conversations M Kuźba, P Biecek Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020 | 23 | 2020 |
pyCeterisParibus: explaining machine learning models with ceteris paribus profiles in Python M Kuźba, E Baranowska, P Biecek Journal of Open Source Software 4 (37), 1389, 2019 | 13 | 2019 |
ECML PKDD 2020 Workshops: Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020 … I Koprinska, M Kamp, A Appice, C Loglisci, L Antonie, A Zimmermann, ... Springer Nature, 2021 | 5 | 2021 |
MAIR: Framework for mining relationships between research articles, strategies, and regulations in the field of explainable artificial intelligence S Gizinski, M Kuzba, B Pielinski, J Sienkiewicz, S Łaniewski, P Biecek arXiv preprint arXiv:2108.06216, 2021 | 2 | 2021 |
Modelling response to trypophobia trigger using intermediate layers of ImageNet networks P Woźnicki, M Kuźba, P Migdał arXiv preprint arXiv:2002.08490, 2020 | | 2020 |
Text classification using Transfer Learning and Active Learning B Burny, M Godek, M Kuźba, P Zięcik University of Warsaw, 2018 | | 2018 |
Conversational explanations of Machine Learning models using chatbots M Kuźba | | |
Meta-analysis of academic discourse about interpretability, transparency, and fairness S Giziński, M Kuźba, P Biecek | | |
Local Explanations of Complex Machine Learning Models M Staniak, M Kuźba, P Biecek | | |
INTELIGENCJA LUDZKA VS. SZTUCZNA M Kuźba Naukowy Stat, 55, 0 | | |