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Stanisław Saganowski
Stanisław Saganowski
Department of Artificial Intelligence, Wrocław University of Science and Technology
Zweryfikowany adres z pwr.edu.pl
Tytuł
Cytowane przez
Cytowane przez
Rok
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
2322013
Emotion recognition for everyday life using physiological signals from wearables: A systematic literature review
S Saganowski, B Perz, AG Polak, P Kazienko
IEEE Transactions on Affective Computing 14 (3), 1876-1897, 2022
852022
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
802020
Predicting community evolution in social networks
S Saganowski, B Gliwa, P Bródka, A Zygmunt, P Kazienko, J Koźlak
Entropy 17 (5), 3053-3096, 2015
732015
Emognition dataset: emotion recognition with self-reports, facial expressions, and physiology using wearables
S Saganowski, J Komoszyńska, M Behnke, B Perz, D Kunc, B Klich, ...
Scientific Data 9 (1), 1-11, 2022
662022
Bringing Emotion Recognition out of the Lab into Real Life: Recent Advances in Sensors and Machine Learning
S Saganowski
Electronics 11 (3), 496, 2022
572022
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
572020
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
452013
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
422012
Consumer wearables and affective computing for wellbeing support
S Saganowski, P Kazienko, M Dziezyc, P Jakimow, J Komoszynska, ...
MobiQuitous 2020-17th EAI International Conference on Mobile and Ubiquitous …, 2020
372020
Group evolution discovery in social networks
P Bródka, S Saganowski, P Kazienko
2011 International Conference on Advances in Social Networks Analysis and …, 2011
352011
Analysis of group evolution prediction in complex networks
S Saganowski, P Bródka, M Koziarski, P Kazienko
PloS one 14 (10), e0224194, 2019
202019
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
192012
Multitask Personalized Recognition of Emotions Evoked by Textual Content
P Miłkowski, S Saganowski, M Gruza, P Kazienko, M Piasecki, J Kocoń
2022 IEEE International Conference on Pervasive Computing and Communications …, 2022
182022
Ethical considerations and checklist for affective research with wearables
M Behnke, S Saganowski, D Kunc, P Kazienko
IEEE Transactions on Affective Computing 15 (1), 50-62, 2022
162022
A system for collecting emotionally annotated physiological signals in daily life using wearables
S Saganowski, M Behnke, J Komoszyńska, D Kunc, B Perz, P Kazienko
2021 9th International Conference on Affective Computing and Intelligent …, 2021
162021
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
132021
An “outside the box” solution for imbalanced data classification
H Jegierski, S Saganowski
IEEE Access 8, 125191-125209, 2020
132020
Real-Life Validation of Emotion Detection System with Wearables
D Kunc, J Komoszyńska, B Perz, P Kazienko, S Saganowski
Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence …, 2022
102022
Processing Photoplethysmograms Recorded by Smartwatches to Improve the Quality of Derived Pulse Rate Variability
AG Polak, B Klich, S Saganowski, MA Prucnal, P Kazienko
Sensors 22 (18), 7047, 2022
102022
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