| Automatic credibility assessment of popular medical articles available online A Nabożny, B Balcerzak, A Wierzbicki Social Informatics: 10th International Conference, SocInfo 2018, St …, 2018 | 4 | 2018 |
| Comparison of language models trained on written texts and speech transcripts in the context of automatic speech recognition S Dziadzio, A Nabożny, A Smywiński-Pohl, B Ziółko 2015 Federated Conference on Computer Science and Information Systems …, 2015 | 3 | 2015 |
| Focus on misinformation: Improving medical experts’ efficiency of misinformation detection A Nabożny, B Balcerzak, M Morzy, A Wierzbicki Web Information Systems Engineering–WISE 2021: 22nd International Conference …, 2021 | 2 | 2021 |
| Enriching the context: methods of improving the non-contextual assessment of sentence credibility A Nabożny, B Balcerzak, D Koržinek Web Information Systems Engineering–WISE 2019: 20th International Conference …, 2019 | 2 | 2019 |
| Improving medical experts’ efficiency of misinformation detection: an exploratory study A Nabożny, B Balcerzak, M Morzy, A Wierzbicki, P Savov, ... World Wide Web 26 (2), 773-798, 2023 | 1 | 2023 |
| Active annotation in evaluating the credibility of Web-based medical information: Guidelines for creating training data sets for machine learning A Nabożny, B Balcerzak, A Wierzbicki, M Morzy, M Chlabicz JMIR Medical Informatics 9 (11), e26065, 2021 | 1 | 2021 |
| Digging for the truth: the case for active annotation in evaluating the credibility of online medical information A Nabożny, B Balcerzak, A Wierzbicki, M Morzy, M Chlabicz JMIR Preprints, November, 2020 | 1 | 2020 |
| Automatic credibility assessment of narrow-domain popular articles available on-line A Nabożny | | 2017 |
| Praca dyplomowa inżynierska A Nabożny | | |
