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Michał Jankowski-Lorek
Michał Jankowski-Lorek
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Zweryfikowany adres z pjwstk.edu.pl
Tytuł
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Cytowane przez
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Automated credibility assessment on Twitter
K Lorek, J Suehiro-Wiciński, M Jankowski-Lorek, A Gupta
Computer Science 16 (2)), 157--168, 2015
542015
Surgical teams on GitHub: Modeling performance of GitHub project development processes
O Jarczyk, S Jaroszewicz, A Wierzbicki, K Pawlak, M Jankowski-Lorek
Information and Software Technology 100, 32-46, 2018
482018
On the subjectivity and bias of web content credibility evaluations
M Kąkol, M Jankowski-Lorek, K Abramczuk, A Wierzbicki, M Catasta
Proceedings of the 22nd international conference on world wide web, 1131-1136, 2013
422013
Verifying social network models of Wikipedia knowledge community
M Jankowski-Lorek, S Jaroszewicz, Ł Ostrowski, A Wierzbicki
Information Sciences 339, 158-174, 2016
242016
Predicting controversy of Wikipedia articles using the article feedback tool
M Jankowski-Lorek, R Nielek, A Wierzbicki, K Zieliński
Proceedings of the 2014 international conference on social computing, 1-7, 2014
172014
Modeling Wikipedia admin elections using multidimensional behavioral social networks
M Jankowski-Lorek, L Ostrowski, P Turek, A Wierzbicki
Social Network Analysis and Mining 3, 787-801, 2013
172013
Temporal, cultural and thematic aspects of web credibility
R Nielek, A Wawer, M Jankowski-Lorek, A Wierzbicki
Social Informatics: 5th International Conference, SocInfo 2013, Kyoto, Japan …, 2013
132013
Document controversy classification based on the wikipedia category structure
M Jankowski-Lorek, K Zieliński
Computer Science 16, 2015
42015
Wikipedia knowledge community modeling
M Jankowski-Lorek, L Ostrowski, P Turek, A Wierzbicki
Encyclopedia of Social Network Analysis and Mining, 2014
32014
What Makes a Good Team of Wikipedia Editors? A Preliminary Statistical Analysis
L Bukowski, M Jankowski-Lorek, S Jaroszewicz, M Sydow
Social Informatics: SocInfo 2013 International Workshops, QMC and …, 2014
2014
Mariusz Kleć, Danijel Korzinek Pre-trained deep neural network using sparse autoencoders and scattering wavelet transform for musical genre recognition …
K Lorek, J Suehiro-Wiciński, M Jankowski-Lorek, A Gupta, K Wołk, ...
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