Stanisław Saganowski
Stanisław Saganowski
Department of Computational Intelligence, Wrocław University of Science and Technology
Dirección de correo verificada de pwr.edu.pl
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Año
GED: the method for group evolution discovery in social networks
P Bródka, S Saganowski, P Kazienko
Social Network Analysis and Mining 3 (1), 1-14, 2013
1712013
Predicting community evolution in social networks
S Saganowski, B Gliwa, P Bródka, A Zygmunt, P Kazienko, J Koźlak
Entropy 17 (5), 3053-3096, 2015
552015
Different approaches to community evolution prediction in blogosphere
B Gliwa, P Bródka, A Zygmunt, S Saganowski, P Kazienko, J Koźlak
Proceedings of the 2013 IEEE/ACM International Conference on Advances in …, 2013
352013
Identification of Group Changes in Blogosphere
B Gliwa, S Saganowski, A Zygmunt, P Bródka, P Kazienko, J Kozak
Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM …, 2012
342012
Group evolution discovery in social networks
P Bródka, S Saganowski, P Kazienko
2011 International Conference on Advances in Social Networks Analysis and …, 2011
322011
Influence of the Dynamic Social Network Timeframe Type and Size on the Group Evolution Discovery
S Saganowski, P Bródka, P Kazienko
Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM …, 2012
182012
Emotion Recognition Using Wearables: A Systematic Literature Review - Work-in-progress
S Saganowski, A Dutkowiak, A Dziadek, M Dzieżyc, J Komoszyńska, ...
2020 IEEE International Conference on Pervasive Computing and Communications …, 2020
162020
Analysis of group evolution prediction in complex networks
S Saganowski, P Bródka, M Koziarski, P Kazienko
PloS one 14 (10), e0224194, 2019
112019
Community Evolution
P Bródka, S Saganowski, P Kazienko
Encyclopedia of Social Network Analysis and Mining, 220-232, 2014
72014
Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data
M Dzieżyc, M Gjoreski, P Kazienko, S Saganowski, M Gams
Sensors 20 (22), 6535, 2020
62020
Predicting the Evolution of Physics Research from a Complex Network Perspective
W Liu, S Saganowski, P Kazienko, SA Cheong
Entropy 21 (12), 1152, 2019
6*2019
Tracking group evolution in social networks
P Bródka, S Saganowski, P Kazienko
International Conference on Social Informatics, 316-319, 2011
62011
An “outside the box” solution for imbalanced data classification
H Jegierski, S Saganowski
IEEE Access 8, 125191-125209, 2020
52020
Community Evolution
S Saganowski, P Bródka, P Kazienko
Encyclopedia of Social Network Analysis and Mining, 1-14, 2017
52017
Evaluation of TRANSFoRm Mobile eHealth Solution for Remote Patient Monitoring during Clinical Trials
J Jankowski, S Saganowski, P Bródka
Mobile Information Systems 2016, 2016
52016
TRANSFoRm eHealth solution for quality of life monitoring.
S Saganowski, A Misiaszek, P Bródka, A Andreasson, V Curcin, ...
AMIA Summits on Translational Science Proceedings 2016, 231, 2016
52016
Influence of the User Importance Measure on the Group Evolution Discovery
S Saganowski, P Bródka, P Kazienko
Foundations of Computing and Decision Sciences 37 (4), 293-303, 2012
52012
Consumer wearables and affective computing for wellbeing support
S Saganowski, P Kazienko, M Dzieżyc, P Jakimów, J Komoszyńska, ...
17th EAI International Conference on Mobile and Ubiquitous Systems …, 2020
42020
How to catch them all? Enhanced data collection for emotion recognition in the field
M Dzieżyc, J Komoszyńska, S Saganowski, M Boruch, J Dziwiński, ...
2021 IEEE International Conference on Pervasive Computing and Communications …, 2021
12021
Mobile eHealth solution (ePRO)
S Saganowski, P Bródka, A Misiaszek, K Fraczkowski
Journal of Clinical Bioinformatics 5 (1), 1, 2015
12015
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