E-mail: stanislaw.saganowski@pwr.edu.pl

Unit: Faculty of Information and Communication Technology (N) » Departament of Artificial intelligence

Wybrzeże Wyspiańskiego 27, Wrocław
building A-1, office 203 L
phone: 71 320 3609

Office hours

• Tuesday 11.00-13.00

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Research fields

• affective computing, emotion recognition from physiological data, machine learning, data science, group evolution prediction, mobile technologies

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Recent papers

2020

• Hubert Jegierski, Stanisław Saganowski
  An "outside the box" solution for imbalanced data classification. IEEE Access. 2020, vol. 8, s. 125191-125209.
• Stanisław Saganowski, Anna Dutkowiak, Adam Dziadek*, Maciej Dzieżyc, Joanna Komoszyńska, Weronika Michalska, Adam Polak, Michał Ujma*, Przemysław Kazienko
  Emotion recognition using wearables: a systematic literature review - work-in-progress. W: 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) : took place 23-27 March 2020 in Austin, TX, USA. Piscataway, NJ : IEEE, cop. 2020. s. 1-6.

2019

• Stanisław Saganowski, Piotr Bródka, Michał Koziarski*, Przemysław Kazienko
  Analysis of group evolution prediction in complex networks. PLoS ONE [Dokument elektroniczny]. 2019, vol. 14, nr 10, art. 0224194, s. 1-18.
• Wenyuan Liu*, Stanisław Saganowski, Przemysław Kazienko, Siew Ann. Cheong*
  Predicting the evolution of physics research from a complex network perspective. Entropy. 2019, vol. 21, nr 12, art. 1152, s. 1-22.

201

• Stanisław Saganowski, Piotr Bródka, Przemysław Kazienko
  Community evolution. W: Encyclopedia of Social Network Analysis and Mining / eds. Reda Alhajj, Jon Rokne. 2nd ed. New York : Springer, cop. 2018. s. 357-370.

Papers in DONA database

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Selected publications
1	Artykuł 2025 Nicholas A Coles, Bartosz Perz, Stanisław Saganowski, Big team science reveals promises and limitations of machine learning efforts to model physiological markers of affective experience. Royal Society Open Science. 2025, vol. 12, nr 6, art. 241778, s. 1-13. ISSN: 2054-5703 Zasoby:DOIURLSFX
2	Referat konferencyjny 2025 Joanna Komoszyńska, Stanisław Saganowski, PPG-to-ECG signal translation using wearable data in affective computing. W: 2025 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) : 17-21 March 2025, Washington D.C., USA. Danvers, MA : IEEE, cop. 2025. s. 622-623. ISBN: 979-8-3315-3553-7 Zasoby:DOIURL
3	Referat konferencyjny 2025 Dominika Kunc, Przemysław Kazienko, Stanisław Saganowski, Exploring real-life psychophysiological states with self-supervised learning. W: 2025 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) : 17-21 March 2025, Washington D.C., USA. Danvers, MA : IEEE, cop. 2025. s. 610-611. ISBN: 979-8-3315-3553-7 Zasoby:DOIURL
4	Referat konferencyjny 2025 Dominika Kunc, Stanisław Saganowski, Representation learning enables uncovering psychophysiological states from wearable data. W: 2025 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) : 17-21 March 2025, Washington D.C., USA. Danvers, MA : IEEE, cop. 2025. s. 637-640. ISBN: 979-8-3315-3553-7 Zasoby:DOIURL
5	Referat konferencyjny 2024 Dominika Kunc, Joanna Komoszyńska, Stanisław Saganowski, Przemysław Kazienko, Karen S Quigley, Lisa Feldman Barrett, Embracing subjectivity in affective research: naturalistic and controlled settings. W: 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 15 September 2024, Glasgow, United Kingdom. Danvers, MA : IEEE, cop. 2024. s. 176-180. ISBN: 979-8-3315-1646-8; 979-8-3315-1645-1 Zasoby:DOIURL
6	Artykuł 2024 Kleanthis Avramidis, Dominika Kunc, Bartosz Perz, Kranti Adsul, Tiantian Feng, Przemysław Kazienko, Stanisław Saganowski, Shrikanth Narayanan, Scaling representation learning from ubiquitous ECG with State-Space models. IEEE Journal of Biomedical and Health Informatics. 2024, vol. 28, nr 10, s. 5877-5889. ISSN: 2168-2208; 2168-2194 Zasoby:DOIURLSFX
7	Artykuł 2024 Anna Andreasson, Lars Agréus, Nikolaos Mastellos, Grzegorz Bliźniuk, Dorota Waśko-Czopnik, Agapi Angelaki, Eirini Theodosaki, Christos Lionis, Karin Hek, Robert Verheij, Ellen Wright, Stevo Durbaba, Jean Muris, Piotr Bródka, Stanisław Saganowski, Jean-Francois Ethier, Vasa Curcin, Brendan Delaney, Effect of on-demand vs continuous prescription of proton pump inhibitors on symptom burden and quality of life: results of a real-world randomized controlled trial in primary care patients with gastroesophageal reflux disease. Annals of Medicine. 2024, vol. 56, nr 1, s. 1-9. ISSN: 1365-2060; 0785-3890 Zasoby:DOIURLSFX
8	Referat konferencyjny 2024 Joanna Komoszyńska, Dominika Kunc, Bartosz Perz, Adam Hebko, Przemysław Kazienko, Stanisław Saganowski, Designing and executing a large-scale real-life affective study. W: 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) : 11-15 March 2024, Biarritz, France. Danvers, MA : IEEE, cop. 2024. s. 505-510. ISBN: 979-8-3503-0436-7 Zasoby:DOIURL
9	Artykuł 2024 Maciej Behnke, Stanisław Saganowski, Dominika Kunc, Przemysław Kazienko, Ethical considerations and checklist for affective research with wearables. IEEE Transactions on Affective Computing. 2024, vol. 15, nr 1, s. 50-62. ISSN: 1949-3045 Zasoby:DOIURLSFX
10	Referat konferencyjny 2023 Dominika Kunc, Joanna Komoszyńska, Bartosz Perz, Stanisław Saganowski, Przemysław Kazienko, Emognition system - wearables, physiology, and machine learning for real-life emotion capturing. W: 2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 10-13 September 2023, Cambridge, MA, USA. Piscataway, NJ : IEEE, cop. 2023. s. 1-3. ISBN: 979-8-3503-2745-8 Zasoby:DOIURL

All publications