Automated credibility assessment on twitter K Lorek, J Suehiro-Wiciński, M Jankowski-Lorek, A Gupta Computer Science 16 (2)), 157--168, 2015 | 39 | 2015 |
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 | 35 | 2018 |
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 | 34 | 2013 |
Verifying social network models of Wikipedia knowledge community M Jankowski-Lorek, S Jaroszewicz, Ł Ostrowski, A Wierzbicki Information Sciences 339, 158-174, 2016 | 24 | 2016 |
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 | 15 | 2014 |
Modeling Wikipedia admin elections using multidimensional behavioral social networks M Jankowski-Lorek, L Ostrowski, P Turek, A Wierzbicki Social Network Analysis and Mining 3 (4), 787-801, 2013 | 14 | 2013 |
Temporal, cultural and thematic aspects of web credibility R Nielek, A Wawer, M Jankowski-Lorek, A Wierzbicki International Conference on Social Informatics, 419-428, 2013 | 12 | 2013 |
Document controversy classification based on the Wikipedia category structure M Jankowski-Lorek, K Zieliński Computer Science 16, 2015 | 3 | 2015 |
Wikipedia Knowledge Community Modeling. M Jankowski-Lorek, L Ostrowski, P Turek, A Wierzbicki Encyclopedia of Social Network Analysis and Mining, 2410-2420, 2014 | 3 | 2014 |
What Makes a Good Team of Wikipedia Editors? A Preliminary Statistical Analysis L Bukowski, M Jankowski-Lorek, S Jaroszewicz, M Sydow International Conference on Social Informatics, 14-28, 2013 | | 2013 |
Podstawy hurtowni danych. Wykład i ćwiczenia w środowisku SQL Server 2008 R2 Business Intelligence Development Studio A Chądzyńska-Krasowska, E Mrówka-Matejewska, M Jankowski-Lorek Wydawnictwo Polsko-Japońskiej Wyższej Szkoły Technik Komputerowych, 2013 | | 2013 |
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, ... | | |