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Aleksandra Nabożny
Aleksandra Nabożny
Polish-Japanese Academy of Information Technologies
Zweryfikowany adres z pjwstk.edu.pl
Tytuł
Cytowane przez
Cytowane przez
Rok
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
52021
Automatic credibility assessment of popular medical articles available online
A Nabożny, B Balcerzak, A Wierzbicki
Social Informatics: 10th International Conference, SocInfo 2018, St …, 2018
42018
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
32023
Focus on misinformation: Improving medical experts’ efficiency of misinformation detection
A Nabożny, B Balcerzak, M Morzy, A Wierzbicki
International Conference on Web Information Systems Engineering, 420-434, 2021
32021
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
32015
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
22020
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
22019
Medical Misinformation in Polish on the World Wide Web During the COVID-19 Pandemic Period: Infodemiology Study
M Chlabicz, A Nabożny, J Koszelew, W Łaguna, A Szpakowicz, P Sowa, ...
Journal of Medical Internet Research 26, e48130, 2024
2024
Automatic credibility assessment of narrow-domain popular articles available on-line
A Nabożny
2017
The spread of medical fake news during the COVID-19 pandemic: Quantitative study and lessons learned
M Chlabicz, A Nabożny, J Koszelew, W Łaguna, P Sowa, W Budny, ...
Praca dyplomowa inżynierska
A Nabożny
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Prace 1–11